Author: "Lartizien, C." - Searchworks@Jio Institute Digital Library Search Results

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142 results on '"Lartizien, C."'

1. Feature extraction with regularized siamese networks for outlier detection: application to lesion screening in medical imaging

Author: Alaverdyan, Z. and Lartizien, C.
Subjects: Computer Science - Computer Vision and Pattern Recognition
Abstract: Computer aided diagnosis (CAD) systems are designed to assist clinicians in various tasks, including highlighting abnormal regions in a medical image. A common approach consists in training a voxel-level binary classifier on a set of feature vectors extracted from normal and pathological areas in patients' scans. However, many pathologies (such as epilepsy) are characterized by lesions that may be located anywhere in the brain, have various shapes, sizes and texture. An adequate representation of such a heterogeneity requires a significant amount of annotated data which is a major issue in the medical domain. Therefore, we built on a previously proposed approach that considers epilepsy lesion detection task as a voxel-level outlier detection problem. It consists in building a oc-SVM classifier for each voxel in the brain volume using a small number of clinically-guided features El Azami et al., 2016. Our goal in this study is to make a step forward by replacing the handcrafted features with automatically learnt representations using neural networks. We propose a novel version of siamese networks trained on patches extracted from healthy patients' scans only. This network, composed of stacked autoencoders as subnetworks, is regularized by the reconstruction error of the patches. It is designed to learn representations that bring patches centered at the same voxel localization 'closer' with respect to the chosen metric (i.e. cosine). Finally, the middle layer representations of the subnetworks are fed to oc-SVM classifiers at voxel-level. The method is validated on 3 patients' MRI scans with confirmed epilepsy lesions and shows a promising performance., Comment: Accepted to Conf\'erence sur l'Apprentissage automatique (CAp) 2017
Published: 2018

2. GATE : a simulation toolkit for PET and SPECT

Author: Jan, S., Santin, G., Strul, D., Staelens, S., Assie, K., Autret, D., Avner, S., Barbier, R., Bardies, M., Bloomfield, P. M., Brasse, D., Breton, V., Bruyndonckx, P., Buvat, I., Chatziioannou, A. F., Choi, Y., Chung, Y. H., Comtat, C., Donnarieix, D., Ferrer, L., Glick, S. J., Groiselle, C. J., Guez, D., Honore, P. -F., Kerhoas-Cavata, S., Kirov, A. S., Kohli, V., Koole, M., Krieguer, M., van der Laan, D. J., Lamare, F., Largeron, G., Lartizien, C., Lazaro, D., Maas, M. C., Maigne, L., Mayet, F., Melot, F., Merheb, C., Pennacchio, E., Perez, J., Pietrzyk, U., Rannou, F. R., Rey, M., Schaart, D. R., Schmidtlein, C. R., Simon, L., Song, T. Y., Vieira, J. -M., Visvikis, D., Van de Walle, R., Wieers, E., and Morel, C.
Subjects: Physics - Medical Physics, Physics - Biological Physics
Abstract: Monte Carlo simulation is an essential tool in emission tomography that can assist in the design of new medical imaging devices, the optimization of acquisition protocols, and the development or assessment of image reconstruction algorithms and correction techniques. GATE, the Geant4 Application for Tomographic Emission, encapsulates the Geant4 libraries to achieve a modular, versatile, scripted simulation toolkit adapted to the field of nuclear medicine. In particular, GATE allows the description of time-dependent phenomena such as source or detector movement, and source decay kinetics. This feature makes it possible to simulate time curves under realistic acquisition conditions and to test dynamic reconstruction algorithms. A public release of GATE licensed under the GNU Lesser General Public License can be downloaded at the address http://www-lphe.epfl.ch/GATE/.
Published: 2004
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3. FIRST RESULTS WITH THE CLEARPET SMALL ANIMAL PET SCANNERS

Author: Auffray, E., Boutemeur, M., Brandenburg, G., Bruyndonckx, P., Choi, Y., D’Asseler, Y., Devroede, O., Dietzel, O., Dujardin, C., Fedorov, A., Janier, M., Jung, J. H., Khodaverdi, M., Korjik, M., Krieguer, M., Lartizien, C., Larue, H., Lecoq, P., Lemaétre, C., Loude, J.-F., Morel, C., Mosset, J.-B., Parl, C., Pautrot, C., Pîdrini, C., Petrosyan, A.G., Pietrzyk, U., Rey, M., Sappey-marinier, D., Roldan, P. Sempere, Song, T. Y., Staelens, S., Streun, M., Tavernier, S., Trummer, J., Vandenberghe, S., Van Holen, R., Vieira, J.-M., Weber, S., Wieörs, E., Wisniewska, M., Wisniewski, D., Wu, Y., Ziemons, K., Tavernier, Stefaan, editor, Gektin, Alexander, editor, Grinyov, Boris, editor, and Moses, William W., editor
Published: 2006
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4. Synchrotron Radiation Computed Tomography applied to the Brain: Phantom Studies at the ESRF Medical Beamline

Author: Charvet, A. M., Lartizien, C., Estève, F., Le Duc, G., Collomb, A., Elleawne, H., Fiedler, S., Thompson, A., Brochard, T., Kleuker, U., Steltner, H., Spanne, P., Suortti, P., Le Bas, J. F., Ando, Masami, editor, and Uyama, Chikao, editor
Published: 1998
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5. Comparison of bootstrap resampling methods for 3-D PET imaging

Author: Lartizien, C., Aubin, J.-B., and Buvatt, I.
Subjects: PET imaging -- Analysis, Bootstrapping (Statistics) -- Analysis, Noise -- Properties, Density functionals -- Analysis, Business, Electronics, Electronics and electrical industries, Health care industry
Published: 2010

6. Assessment of non-reperfused and reperfused myocardial infarction using diffusible or deposited radiolabelled perfusion imaging agents

Author: Riou, L. M., Broisat, A., Lartizien, C., Toufektsian, M. C., Maitrejean, S., Janier, M., Vanzetto, G., Fagret, D., and Ghezzi, C.
Published: 2007
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7. Evaluation of multiclass model observers in PET LROC studies

Author: Gifford, H.C., Kinahan, P.E., Lartizien, C., and King, M.A.
Subjects: Algorithms -- Research, PET imaging -- Research, Tumors -- Research, Tumors -- Diagnosis, Algorithm, Business, Electronics, Electronics and electrical industries
Abstract: A localization ROC (LROC) study was conducted to evaluate nonprewhitening matched-filter (NPW) and channelized NPW (CNPW) versions of a multiclass model observer as predictors of human tumor-detection performance with PET images. Target localization is explicitly performed by these model observers. Tumors were placed in the liver, lungs, and background soft tissue of a mathematical phantom, and the data simulation modeled a full-3D acquisition mode. Reconstructions were performed with the FORE+AWOSEM algorithm. The LROC study measured observer performance with 2D images consisting of either coronal, sagittal, or transverse views of the same set of cases. Versions of the CNPW observer based on two previously published difference-of-Gaussian channel models demonstrated good quantitative agreement with human observers. One interpretation of these results treats the CNPW observer as a channelized Hotelling observer with implicit internal noise. Index Terms--Human-model observers, image quality, localization ROC (LROC), positron-emission tomography (PET), tumor detection.
Published: 2007

8. Poster display IV experimental and instrumentation

Author: Masoli, O. Osvaldo, Redruello, M., Ogresta, F., Collaud, C., Koslowski, P., Baliño, N. Perez, Eleta, M., Arce, P., Vidal, L., Kardash, O., Maroz-Vadalajskaya, N. Natalia, Vanhove, C. Christian, Lahoutte, T., Defrise, M., Andreyev, A., Bossuyt, A., Franken, P. R., Franken, P. R. Philippe, Lahoutte, T., Maskali, F., Vanhove, C., Nloga, J., Tran, N., Marie, P. Y., Peix, A. Amalia, Garcia-Barreto, D., Ponce, F., Cabrera, L. O., Valiente, J., Tornes, F., Guerrero, I., Heres, F., Garcia, E. J., Cabale, B., Bindslev, L. Lene, Bisgaard, K. B. Kirsten, Haack-Soerensen, M. H. S. Mandana, Mortensen, S. M. Steen, Kragh, L. K. Linda, Kjaer, A. K. Andreas, Kastrup, J. K. Jens, Hesse, B. H. Birger, Aboul-Enein, F. Fatma, Battah, A., Fattah, A. Abdel, Atty, A. Abdel, Allam, A., Riou, L. Laurent, Broisat, A., Ghezzi, C., Lartizien, C., Berthonneche, C., Toufektsian, M. C., Maitrejean, S., Janier, M., Vanzetto, G., Fagret, D., Rouzet, F. Francois, Daou, D., Lebtahi, R., Frank, R., Leenhardt, A., Slama, M., Guludec, D. Le, Sarda-Mantel, L. Laure, Michel, J. B., Rouzet, F., Martet, G., Meulemans, A., Vrigneaud, J. M., Guludec, D. Le, Daou, D. Doumit, Coaguila, C., Benada, A., Razzouk, M., Idy-Peretti, I., Guludec, D. Le, Vilain, D., Lebtahi, R., Guludec, D. Le, Stegger, L. Lars, Schäfers, K., Flögel, U., Schrader, J., Schober, O., Levkau, B., Schäfers, M., Kies, P. Peter, Wichter, T., Schäfers, K. P., Schäfers, M., Wielepp, J. P. Peter, Baller, D., Pulawski, E., Weise, R., Fricke, E., Horstkotte, D., Burchert, W., Eckert, S., Dongas, A., Horstkotte, D., Burchert, W., Nekolla, S. G. Stephan, Martinez, M. J., Howe, W., Kehren, F., Ziegler, S. I., Vassiliadis, I. Ioannis, Souretis, G., Komporozos, C., Fountos, A., Papademetriou, A., Spanos, A., Antoniou, A., Strembelas, P., Moralidis, E. Efstratios, Arsos, G., Boundas, D., Georga, S., Karatzas, N., Karakatsanis, K., Prassopoulos, V. Vassilios, Parthenakis, F., Patrianakos, A., Koukouraki, S., Velidaki, A., Karkavitsas, N., Vardas, P., Velidaki, A. Antigone, Perisinakis, K., Koukouraki, S., Koutsikos, J., Prassopoulos, V., Vardas, P., Karkavitsas, N., Sundaraiya, S. Sumati, Sumati, S., Sambhasivam, KA., David, S., Zakavi, S. R. Seyed Rasoul, Kakhki, V. R. Dabagh, Jabari, H., Zingerman, B., Bendayan, D., Sagie, A., Solodky, A., Mats, I., Shapira, Y., Kremer, M. R., Zafrir, N. Nili, Rimini, M. L. Maria Luisa De, Catalano, M., Bonzani, G., Scalzone, A., Merenda, R., Monteforte, I., Monda, V., Muto, P., Carboni, G. P. Gian Piero, Miglionico, M., Tavolozza, M., Marcassa, C. Claudio, Campini, R., Calza, P., Giannuzzi, P., Eleuteri, E., Marcassa, C. Claudio, Campini, R., Scapellato, F., Temporelli, P. L., Giannuzzi, P., Pellegrino, T., Storto, G., Sorrentino, A. R., Silvestri, A., Filardi, P. Perrone, Brevetti, G., Cuocolo, A. Alberto, Cho, K. Keiichi, Kumita, S., Seino, K., Nakajo, H., Toba, M., Kumazaki, T., Muramatsu, T. Toshihiro, Yamazaki, T., Seki, K., Kawanami, J., Nakajima, T., Yamada, Y., Suga, T., Matsumoto, K., Nishimura, S., Taki, J. Junichi, Higuchi, T., Kawashima, A., Nakajima, K., Muramori, A., Matsunari, I., Tait, J. F., Vanderheyden, J. L., Strauss, H. W., Tonami, N., Adachi, I. Itaru, Shimomura, H., Kintaka, T., Komori, T., Ogura, Y., Kitaura, Y., Narabayashi, I., Iida, H. Hidehiro, Zeniya, T., Kim, K. M., Watabe, H., Teramoto, N., Yamamichi, Y., Alexanderson, E. Erick, Ricalde, A., Vargas, A., Meave, A., Amigo, M. C., Misko, J., Dziuk, M. Miroslaw, Warczynska, A., Skrobowska, E., Vasconcelos, M. Mariana, Martins, E., Faria, T., Oliveira, A., Pardal, N., Macedo, F., Pereira, J., Rocha-Gonçalves, F., Cantinho, G. Guilhermina, Pena, H., Freire, L., Veiga, A., Gonçalves, P., Godinho, F., Chua, T. Terrance, Lee, C. Y., Keng, F., Ding, Z. P., Koh, T. H., Awamleh, P. Paula, Talavera, P., Torres, V., Balsa, M. A., González, O., Alberca, M. T., Miguel, R., Cosío, F. G., Lomsky, M. Milan, Richter, J., Johansson, L., El-Ali, H., Åström, K., Ljungberg, M., Edenbrandt, L., Hung, G. U. Guang-Uei, Lee, K. W., Chen, C. P., Yang, K. T., Pekindil, G., Sarikaya, A. Ali, Ege, T., Salihoglu, S., Entok, E. Emre, Cavusoglu, Y., Ak, I., Vardareli, E., Timuralp, B., Tout, D. Deborah, Loong, C. Y., Naidoo, V. V., Aswegen, A. Van, Underwood, S. R., Thorley, P. J. Penelope, Goris, M. Michael, ZHU, H. J., Clements, I. P. Ian, Mullan, B. P., O’Connor, M. K., Breen, J. F., McGregor, C. G. A., Liu, Y. H. Yi-Hwa, Li, S., Bourke, B., Weyman, C., Sinusas, A. J., Ramakrishna, G. Gautam, Miller, T. D., O’Connor, M. K., Gibbons, R. J., Tsatkin, V., Wackers, F. J. T. H., Liu, Y. H. Yi-Hwa, Tsatkin, V., Prior, J. O. John, Facta, A. D., Schindler, T. H., Oxilia-Estigarribia, M. A., Hernandez-Pampaloni, M., Campisi, R., Zhang, X., Bischof-Delaloye, A., Nathan, L., Schelbert, H. R., Gullberg, G. T. Grant, Huesman, R. H., Reutter, B. W., Sitek, A., Veress, A. I., Weiss, J. A., Qi, J., Yang, Y., Gordi, T. Toufigh, Olmsted, A., Lieu, H., and Belardinelli, L.
Published: 2005
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9. Monte Carlo simulation-based design study of a LSO-LuAP small animal PET system

Author: Lartizien, C., Reilhac, A., Costes, N., Janier, M., and Sappey-Marinier, D.
Subjects: PET imaging -- Research, Business, Electronics, Electronics and electrical industries
Abstract: Positron emission tomography (PET) scanners dedicated to small animal imaging should combine very high sensitivity (>2%) and resolution (1.6%) while keeping good spatial resolution (3-4 mm at the extremity of the field-of-view) thanks to the DOI capability. Index Terms--DOI, Monte Carlo simulation, small animal positron emission tomography (PET).
Published: 2003

10. The ClearPET™ project: development of a 2nd generation high-performance small animal PET scanner

Author: Ziemons, K., E. Auffray, Barbier, R., Brandenburg, G., Bruyndonckx, P., Choi, Y., Christ, D., Costes, N., Declais, Y., Devroede, O., Dujardin, C., Fedorovd, A., Heinrichs, U., Korjik, M., Krieguer, M., Kuntner, C., Largeron, G., Lartizien, C., Larue, H., Lecoq, P., Leonard, S., Marteau, J., Morel, Ch., Mosset, J.B., Parl, Ch., Pedrini, Ch., Petrosyan, A.G., Pietrzyk, U., Rey, M., Saladino, S., Sappey-Marinier, D., Simon, L., Streun, M., Tavernier, S., and Vieira, J.M.
Published: 2005
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11. The ClearPET project

Author: Auffray, E, Bruyndonckx, P, Devroede, O, Fedorov, A, Heinrichs, U, Korjik, M, Krieguer, M, Kuntner, C, Lartizien, C, Lecoq, P, Leonard, S, Morel, Ch, Mosset, J.B, Pedrini, Ch, Petrosian, A, Pietrzyk, U, Rey, M, Saladino, S, Sappey-Marinier, D, Simon, L, Streun, M, Tavernier, S, Vieira, J.M, and Ziemons, K
Published: 2004
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12. The ANIMAGE project: a multimodal imaging platform for small animal research

Author: Sappey-Marinier, D, Beuf, O, Billotey, C, Chereul, E, Dupuy, J, Jeandey, M, Grenier, D, Hasserodt, J, Langlois, J.B, Lartizien, C, Mai, W, Odet, C, Samarut, J, Vray, D, Zimmer, L, and Janier, M
Published: 2004
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13. Poster display IV experimental and instrumentation

Author: Masoli, O., Redruello, M., Ogresta, F., Collaud, C., Koslowski, P., Baliño, N., Eleta, M., Arce, P., Vidal, L., Kardash, O., Maroz-Vadalajskaya, N., Vanhove, C., Lahoutte, T., Defrise, M., Andreyev, A., Bossuyt, A., Franken, P., Maskali, F., Nloga, J., Tran, N., Marie, P., Peix, A., Garcia-Barreto, D., Ponce, F., Cabrera, L., Valiente, J., Tornes, F., Guerrero, I., Heres, F., Garcia, E., Cabale, B., Bindslev, L., Bisgaard, K., Haack-Soerensen, M., Mortensen, S., Kragh, L., Kjaer, A., Kastrup, J., Hesse, B., Aboul-Enein, F., Battah, A., Fattah, A., Atty, A., Allam, A., Riou, L., Broisat, A., Ghezzi, C., Lartizien, C., Berthonneche, C., Toufektsian, M., Maitrejean, S., Janier, M., Vanzetto, G., Fagret, D., Rouzet, F., Daou, D., Lebtahi, R., Frank, R., Leenhardt, A., Slama, M., Guludec, D., Sarda-Mantel, L., Michel, J., Martet, G., Meulemans, A., Vrigneaud, J., Coaguila, C., Benada, A., Razzouk, M., Idy-Peretti, I., Vilain, D., Stegger, L., Schäfers, K., Flögel, U., Schrader, J., Schober, O., Levkau, B., Schäfers, M., Kies, P., Wichter, T., Wielepp, J., Baller, D., Pulawski, E., Weise, R., Fricke, E., Horstkotte, D., Burchert, W., Eckert, S., Dongas, A., Nekolla, S., Martinez, M., Howe, W., Kehren, F., Ziegler, S., Vassiliadis, I., Souretis, G., Komporozos, C., Fountos, A., Papademetriou, A., Spanos, A., Antoniou, A., Strembelas, P., Moralidis, E., Arsos, G., Boundas, D., Georga, S., Karatzas, N., Karakatsanis, K., Prassopoulos, V., Parthenakis, F., Patrianakos, A., Koukouraki, S., Velidaki, A., Karkavitsas, N., Vardas, P., Perisinakis, K., Koutsikos, J., Sundaraiya, S., Sumati, S., Sambhasivam, KA, David, S., Zakavi, S., Kakhki, V., Jabari, H., Zingerman, B., Bendayan, D., Sagie, A., Solodky, A., Mats, I., Shapira, Y., Kremer, M., Zafrir, N., Rimini, M., Catalano, M., Bonzani, G., Scalzone, A., Merenda, R., Monteforte, I., Monda, V., Muto, P., Carboni, G., Miglionico, M., Tavolozza, M., Marcassa, C., Campini, R., Calza, P., Giannuzzi, P., Eleuteri, E., Scapellato, F., Temporelli, P., Pellegrino, T., Storto, G., Sorrentino, A., Silvestri, A., Filardi, P., Brevetti, G., Cuocolo, A., Cho, K., Kumita, S., Seino, K., Nakajo, H., Toba, M., Kumazaki, T., Muramatsu, T., Yamazaki, T., Seki, K., Kawanami, J., Nakajima, T., Yamada, Y., Suga, T., Matsumoto, K., Nishimura, S., Taki, J., Higuchi, T., Kawashima, A., Nakajima, K., Muramori, A., Matsunari, I., Tait, J., Vanderheyden, J., Strauss, H., Tonami, N., Adachi, I., Shimomura, H., Kintaka, T., Komori, T., Ogura, Y., Kitaura, Y., Narabayashi, I., Iida, H., Zeniya, T., Kim, K., Watabe, H., Teramoto, N., Yamamichi, Y., Alexanderson, E., Ricalde, A., Vargas, A., Meave, A., Amigo, M., Misko, J., Dziuk, M., Warczynska, A., Skrobowska, E., Vasconcelos, M., Martins, E., Faria, T., Oliveira, A., Pardal, N., Macedo, F., Pereira, J., Rocha-Gonçalves, F., Cantinho, G., Pena, H., Freire, L., Veiga, A., Gonçalves, P., Godinho, F., Chua, T., Lee, C., Keng, F., Ding, Z., Koh, T., Awamleh, P., Talavera, P., Torres, V., Balsa, M., González, O., Alberca, M., Miguel, R., Cosío, F., Lomsky, M., Richter, J., Johansson, L., El-Ali, H., Åström, K., Ljungberg, M., Edenbrandt, L., Hung, G., Lee, K., Chen, C., Yang, K., Pekindil, G., Sarikaya, A., Ege, T., Salihoglu, S., Entok, E., Cavusoglu, Y., Ak, I., Vardareli, E., Timuralp, B., Tout, D., Loong, C., Naidoo, V., Aswegen, A., Underwood, S., Thorley, P., Goris, M., ZHU, H., Clements, I., Mullan, B., O'Connor, M., Breen, J., McGregor, C., Liu, Y., Li, S., Bourke, B., Weyman, C., Sinusas, A., Ramakrishna, G., Miller, T., Gibbons, R., Tsatkin, V., Wackers, F., Prior, J., Facta, A., Schindler, T., Oxilia-Estigarribia, M., Hernandez-Pampaloni, M., Campisi, R., Zhang, X., Bischof-Delaloye, A., Nathan, L., Schelbert, H., Gullberg, G., Huesman, R., Reutter, B., Sitek, A., Veress, A., Weiss, J., Qi, J., Yang, Y., Gordi, T., Olmsted, A., Lieu, H., Belardinelli, L., Masoli, O., Redruello, M., Ogresta, F., Collaud, C., Koslowski, P., Baliño, N., Eleta, M., Arce, P., Vidal, L., Kardash, O., Maroz-Vadalajskaya, N., Vanhove, C., Lahoutte, T., Defrise, M., Andreyev, A., Bossuyt, A., Franken, P., Maskali, F., Nloga, J., Tran, N., Marie, P., Peix, A., Garcia-Barreto, D., Ponce, F., Cabrera, L., Valiente, J., Tornes, F., Guerrero, I., Heres, F., Garcia, E., Cabale, B., Bindslev, L., Bisgaard, K., Haack-Soerensen, M., Mortensen, S., Kragh, L., Kjaer, A., Kastrup, J., Hesse, B., Aboul-Enein, F., Battah, A., Fattah, A., Atty, A., Allam, A., Riou, L., Broisat, A., Ghezzi, C., Lartizien, C., Berthonneche, C., Toufektsian, M., Maitrejean, S., Janier, M., Vanzetto, G., Fagret, D., Rouzet, F., Daou, D., Lebtahi, R., Frank, R., Leenhardt, A., Slama, M., Guludec, D., Sarda-Mantel, L., Michel, J., Martet, G., Meulemans, A., Vrigneaud, J., Coaguila, C., Benada, A., Razzouk, M., Idy-Peretti, I., Vilain, D., Stegger, L., Schäfers, K., Flögel, U., Schrader, J., Schober, O., Levkau, B., Schäfers, M., Kies, P., Wichter, T., Wielepp, J., Baller, D., Pulawski, E., Weise, R., Fricke, E., Horstkotte, D., Burchert, W., Eckert, S., Dongas, A., Nekolla, S., Martinez, M., Howe, W., Kehren, F., Ziegler, S., Vassiliadis, I., Souretis, G., Komporozos, C., Fountos, A., Papademetriou, A., Spanos, A., Antoniou, A., Strembelas, P., Moralidis, E., Arsos, G., Boundas, D., Georga, S., Karatzas, N., Karakatsanis, K., Prassopoulos, V., Parthenakis, F., Patrianakos, A., Koukouraki, S., Velidaki, A., Karkavitsas, N., Vardas, P., Perisinakis, K., Koutsikos, J., Sundaraiya, S., Sumati, S., Sambhasivam, KA, David, S., Zakavi, S., Kakhki, V., Jabari, H., Zingerman, B., Bendayan, D., Sagie, A., Solodky, A., Mats, I., Shapira, Y., Kremer, M., Zafrir, N., Rimini, M., Catalano, M., Bonzani, G., Scalzone, A., Merenda, R., Monteforte, I., Monda, V., Muto, P., Carboni, G., Miglionico, M., Tavolozza, M., Marcassa, C., Campini, R., Calza, P., Giannuzzi, P., Eleuteri, E., Scapellato, F., Temporelli, P., Pellegrino, T., Storto, G., Sorrentino, A., Silvestri, A., Filardi, P., Brevetti, G., Cuocolo, A., Cho, K., Kumita, S., Seino, K., Nakajo, H., Toba, M., Kumazaki, T., Muramatsu, T., Yamazaki, T., Seki, K., Kawanami, J., Nakajima, T., Yamada, Y., Suga, T., Matsumoto, K., Nishimura, S., Taki, J., Higuchi, T., Kawashima, A., Nakajima, K., Muramori, A., Matsunari, I., Tait, J., Vanderheyden, J., Strauss, H., Tonami, N., Adachi, I., Shimomura, H., Kintaka, T., Komori, T., Ogura, Y., Kitaura, Y., Narabayashi, I., Iida, H., Zeniya, T., Kim, K., Watabe, H., Teramoto, N., Yamamichi, Y., Alexanderson, E., Ricalde, A., Vargas, A., Meave, A., Amigo, M., Misko, J., Dziuk, M., Warczynska, A., Skrobowska, E., Vasconcelos, M., Martins, E., Faria, T., Oliveira, A., Pardal, N., Macedo, F., Pereira, J., Rocha-Gonçalves, F., Cantinho, G., Pena, H., Freire, L., Veiga, A., Gonçalves, P., Godinho, F., Chua, T., Lee, C., Keng, F., Ding, Z., Koh, T., Awamleh, P., Talavera, P., Torres, V., Balsa, M., González, O., Alberca, M., Miguel, R., Cosío, F., Lomsky, M., Richter, J., Johansson, L., El-Ali, H., Åström, K., Ljungberg, M., Edenbrandt, L., Hung, G., Lee, K., Chen, C., Yang, K., Pekindil, G., Sarikaya, A., Ege, T., Salihoglu, S., Entok, E., Cavusoglu, Y., Ak, I., Vardareli, E., Timuralp, B., Tout, D., Loong, C., Naidoo, V., Aswegen, A., Underwood, S., Thorley, P., Goris, M., ZHU, H., Clements, I., Mullan, B., O'Connor, M., Breen, J., McGregor, C., Liu, Y., Li, S., Bourke, B., Weyman, C., Sinusas, A., Ramakrishna, G., Miller, T., Gibbons, R., Tsatkin, V., Wackers, F., Prior, J., Facta, A., Schindler, T., Oxilia-Estigarribia, M., Hernandez-Pampaloni, M., Campisi, R., Zhang, X., Bischof-Delaloye, A., Nathan, L., Schelbert, H., Gullberg, G., Huesman, R., Reutter, B., Sitek, A., Veress, A., Weiss, J., Qi, J., Yang, Y., Gordi, T., Olmsted, A., Lieu, H., and Belardinelli, L.
Published: 2018

14. Characterization of the diffusion properties of different gadolinium-based MRI contrast agents after ultrasound induced blood–brain barrier permeabilization

Author: Fowlkes, B, Ghanouni, P, Sanghvi, N, Coussios, C, Lyon, Pc, Gray, M, Mannaris, C, Victor, Mds, Stride, E, Cleveland, R, Carlisle, R, Feng, W, Middleton, M, Gleeson, F, Aubry, J, Pauly, Kb, Moonen, C, Vortman, J, Sharabi, S, Daniels, D, Last, D, Guez, D, Levy, Y, Volovick, A, Grinfeld, J, Rachmilevich, I, Amar, T, Zibly, Z, Mardor, Y, Harnof, S, Plaksin, M, Weissler, Y, Shoham, S, Kimmel, E, Naor, O, Farah, N, Paeng, D, Zhiyuan, X, Snell, J, Quigg, Ah, Eames, M, Jin, C, Everstine, Ac, Sheehan, Jp, Lopes, Bs, Kassell, N, Looi, T, Khokhlova, V, Mougenot, C, Hynynen, K, Drake, J, Slayton, M, Amodei, Rc, Compton, K, Mcnelly, A, Latt, D, Kearney, J, Melodelima, D, Dupre, A, Chen, Y, Perol, D, Vincenot, J, Chapelon, J, Rivoire, M, Guo, W, Ren, G, Shen, G, Neidrauer, M, Zubkov, L, Weingarten, Ms, Margolis, Dj, Lewin, Pa, Mcdannold, N, Sutton, J, Vykhodtseva, N, Livingstone, M, Kobus, T, Zhang, Y, Schwartz, M, Huang, Y, Lipsman, N, Jain, J, Chapman, M, Sankar, T, Lozano, A, Yeung, R, Damianou, C, Papadopoulos, N, Brokman, O, Zadicario, E, Brenner, O, Castel, D, Shih-Ying, W, Grondin, J, Zheng, W, Heidmann, M, Karakatsani, Me, Sánchez, Cjs, Ferrera, V, Konofagou, Ee, Yiannakou, M, Cho, H, Lee, H, Han, M, Choi, J, Lee, T, Ahn, S, Chang, Y, Park, J, Ellens, N, Partanen, A, Farahani, K, Airan, R, Carpentier, A, Canney, M, Vignot, A, Lafon, C, Delattre, J, Idbaih, A, Odéen, H, Bolster, B, Jeong, Ek, Parker, Dl, Gaur, P, Feng, X, Fielden, S, Meyer, C, Werner, B, Grissom, W, Marx, M, Weber, H, Taviani, V, Hargreaves, B, Tanaka, J, Kikuchi, K, Ishijima, A, Azuma, T, Minamihata, K, Yamaguchi, S, Nagamune, T, Sakuma, I, Takagi, S, Santin, Md, Marsac, L, Maimbourg, G, Monfort, M, Larrat, B, François, C, Lehéricy, S, Tanter, M, Samiotaki, G, Wang, S, Acosta, C, Feinberg, Er, Kovacs, Zi, Tsang-Wei, T, Papadakis, Gz, Reid, Wc, Hammoud, Da, Frank, Ja, Kim, S, Jikaria, N, Bresler, M, Qureshi, F, Xia, J, Tsui, P, Liu, H, Plata, Jc, Sveinsson, B, Salgaonkar, Va, Adams, M, Diederich, C, Ozhinsky, E, Bucknor, Md, Rieke, V, Mikhail, A, Severance, L, Negussie, Ah, Wood, B, de Greef, M, Schubert, G, Ries, M, Poorman, Me, Dockery, M, Chaplin, V, Dudzinski, So, Spears, R, Caskey, C, Giorgio, T, Costa, Mm, Papaevangelou, E, Shah, A, Rivens, I, Box, C, Bamber, J, ter Haar, G, Burks, Sr, Nagle, M, Nguyen, B, Milo, B, Nhan M., L, Song, S, Zhou, K, Nabi, G, Huang, Z, Ben-Ezra, S, Rosen, S, Mihcin, S, Strehlow, J, Karakitsios, I, Nhan, L, Schwenke, M, Demedts, D, Prentice, P, Haase, S, Preusser, T, Melzer, A, Mestas, J, Chettab, K, Gomez, Gs, Dumontet, C, Werle, B, Marquet, F, Bour, P, Vaillant, F, Amraoui, S, Dubois, R, Ritter, P, Haïssaguerre, M, Hocini, M, Bernus, O, Quesson, B, Livneh, A, Adam, D, Robin, J, Arnal, B, Fink, M, Pernot, M, Khokhlova, Td, Schade, Gr, Wang, Y, Kreider, W, Simon, J, Starr, F, Karzova, M, Maxwell, A, Bailey, Mr, Lundt, Je, Allen, Sp, Sukovich, Jr, Hall, T, Zhen, X, May, P, Lin, Dw, Constans, C, Deffieux, T, Park, E, Ahn, Yd, Kang, Sy, Park, D, Lee, Jy, Vidal-Jove, J, Perich, E, Ruiz, A, Jaen, A, Eres, N, del Castillo, Ma, Myers, R, Kwan, J, Coviello, C, Rowe, C, Crake, C, Finn, S, Jackson, E, Pouliopoulos, A, Caiqin, L, Tinguely, M, Tang, M, Garbin, V, Choi, Jj, Folkes, L, Stratford, M, Nwokeoha, S, Tong, L, Farr, N, D’Andrea, S, Gravelle, K, Chen, H, Lee, D, Hwang, Jh, Tardoski, S, Ngo, J, Gineyts, E, Roux, J, Clézardin, P, Conti, A, Magnin, R, Gerstenmayer, M, Lux, F, Tillement, O, Mériaux, S, Penna, Sd, Romani, Gl, Dumont, E, Sun, T, Power, C, Miller, E, Sapozhnikov, O, Tsysar, S, Yuldashev, Pv, Svet, V, Dongli, L, Pellegrino, A, Petrinic, N, Siviour, C, Jerusalem, A, Cunitz, Bw, Dunmire, B, Inserra, C, Guedra, M, Mauger, C, Gilles, B, Solovchuk, M, Sheu, Twh, Thiriet, M, Zhou, Y, Neufeld, E, Baumgartner, C, Payne, D, Kyriakou, A, Kuster, N, Xiao, X, Mcleod, H, Dillon, C, Payne, A, Khokhova, Va, Sinilshchikov, I, Andriyakhina, Y, Rybyanets, A, Shvetsova, N, Berkovich, A, Shvetsov, I, Shaw, Cj, Civale, J, Giussani, D, Lees, C, Ozenne, V, Toupin, S, Salgaonkar, V, Kaye, E, Monette, S, Maybody, M, Srimathveeravalli, G, Solomon, S, Gulati, A, Bezzi, M, Jenne, Jw, Lango, T, Müller, M, Sat, G, Tanner, C, Zangos, S, Günther, M, Dinh, Ah, Niaf, E, Bratan, F, Guillen, N, Souchon, R, Lartizien, C, Crouzet, S, Rouviere, O, Han, Y, Payen, T, Palermo, C, Sastra, S, Olive, K, van Breugel, Jm, van den Bosch, Ma, Fellah, B, Le Bihan, D, Hernandez-Garcia, L, Cain, Ca, Lyka, E, Elbes, D, Chunhui, L, Tamano, S, Jimbo, H, Yoshizawa, S, Fujiwara, K, Itani, K, Umemura, S, Stoianovici, D, Zaini, Z, Takagi, R, Zong, S, Watkins, R, Pascal-Tenorio, A, Jones, P, Butts-Pauly, K, Bouley, D, Lin, C, Hsieh, H, Wei, K, Garnier, C, Renault, G, Seifabadi, R, Wilson, E, Eranki, A, Kim, P, Lübke, D, Huber, P, Georgii, J, Dresky, Cv, Haller, J, Yarmolenko, P, Sharma, K, Celik, H, Guofeng, L, Qiu, W, Zheng, H, Tsai, M, Chu, P, Webb, T, Vyas, U, Walker, M, Zhong, J, Waspe, Ac, Hodaie, M, Yang, F, Huang, S, Zur, Y, Assif, B, Aurup, C, Kamimura, H, Carneiro, Aa, Rothlübbers, S, Schwaab, J, Houston, G, Azhari, H, Weiss, N, Sosna, J, Goldberg, Sn, Barrere, V, Jang, Kw, Lewis, B, Wang, X, Suomi, V, Edwards, D, Larrabee, Z, Hananel, A, Rafaely, B, Debbiny, Re, Dekel, Cz, Assa, M, Menikou, G, Mouratidis, P, Pineda-Pardo, Ja, de Pedro, Mda, Martinez, R, Hernandez, F, Casas, S, Oliver, C, Pastor, P, Vela, L, Obeso, J, Greillier, P, Zorgani, A, Catheline, S, Solovov, V, Vozdvizhenskiy, Mo, Orlov, Ae, Chueh-Hung, W, Sun, M, Shih, Tt, Chen, W, Prieur, F, Pillon, A, Cartron, V, Cebe, P, Chansard, N, Lafond, M, Seya, Pm, Bera, J, Boissenot, T, Fattal, E, Bordat, A, Chacun, H, Guetin, C, Tsapis, N, Maruyama, K, Unga, J, Suzuki, R, Fant, C, Rogez, B, Afadzi, M, Myhre, Of, Vea, S, Bjørkøy, A, Yemane, Pt, van Wamel, A, Berg, S, Hansen, R, Angelsen, B, and Davies, C
Subjects: Settore FIS/07
Published: 2017

15. Robust outlier detection with L0-SVDD

Author: El Azami, M., Lartizien, C., Canu, S., 2 - Images et Modèles, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes ( LITIS ), Université Le Havre Normandie ( ULH ), Normandie Université ( NU ) -Normandie Université ( NU ) -Université de Rouen Normandie ( UNIROUEN ), Normandie Université ( NU ) -Institut national des sciences appliquées Rouen Normandie ( INSA Rouen Normandie ), Normandie Université ( NU ), Images et Modèles, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes (LITIS), Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Université Le Havre Normandie (ULH), and Normandie Université (NU)
Subjects: [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract: Présentation orale; The problem of outlier detection consists in finding data that is not representative of the population from which it was ostensibly derived. Recently, to solve this problem, Liu et al. [1] proposed a two steps hypersphere-based approach, taking into account a confidence score pre-calculated for each input data. Defining these scores in a first step, independently from the second one, makes this approach not well-suited for large stream data. To solve these difficulties, we propose a global reformulation of the support vector data description (SVDD) problem based on the L0 norm, well suited for outlier detection. We demonstrate that this L0-SVDD problem can be solved using an iterative procedure providing data specific weighting terms. We show that our approach outperforms state of the art outlier detection techniques using both synthetic and clinical data.
Published: 2014

16. Evaluation of a 3D MR/MR elastic registration method for prostate cancer imaging

Author: Lehaire, J., Lartizien, C., Niaf, E., Baumann, M., Souchon, R., Bratan, F., Rouvière, O., 2 - Images et Modèles, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ), Application des ultrasons à la thérapie ( LabTAU ), Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Centre Léon Bérard [Lyon]-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Société KOELIS, entreprise, Department of Urinary and Vascular Radiology, Hospices Civils de Lyon ( HCL ), Images et Modèles, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Application des ultrasons à la thérapie (LabTAU), Centre Léon Bérard [Lyon]-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM), and Hospices Civils de Lyon (HCL)
Subjects: [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging
Abstract: International audience; Early detection and localization of prostate cancer is crucial for appropriate patient management. Recent studies suggest that computer-assisted diagnosis systems combining different imaging modalities (MR/MR, MR/US) can improve prostate cancer detection1 and open the wayto targeted biopsies and focal therapy2. Such fusion processes are limited by prostate motion and deformation, particularly at the prostate-rectum interface. A non-rigid multimodal image registration process based on shape statistics has been developed to coregister T2-weighted MR and 3D transrectal ultrasound acquisitions3. Based on the good precision achieved4, this method was adapted to coregister T2-weighted, diffusion-weighted (DW) and dynamic contrast-enhanced (DCE) images and evaluated on 28 prostate cancer patients.
Published: 2013

17. Imagerie Compton en protonthérapie : de la simulation GATE à la reconstruction d'images

Author: Hilaire, E., Robert, Cédric, Lojacono, X., Lartizien, C., Buvat, I., Maxim, Voichita, Imagerie Tomographique et Radiothérapie, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Imagerie et Modélisation en Neurobiologie et Cancérologie (IMNC (UMR_8165)), Université Paris-Sud - Paris 11 (UP11)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Images et Modèles, Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), 4 - Imagerie Tomographique et Radiothérapie, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ), Imagerie et Modélisation en Neurobiologie et Cancérologie ( IMNC ), Université Paris-Sud - Paris 11 ( UP11 ) -Institut National de Physique Nucléaire et de Physique des Particules du CNRS ( IN2P3 ) -Université Paris Diderot - Paris 7 ( UPD7 ) -Centre National de la Recherche Scientifique ( CNRS ), and 2 - Images et Modèles
Subjects: [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, ComputingMilieux_MISCELLANEOUS
Abstract: International audience
Published: 2013

18. Compton imaging in proton beam therapy: from GATE simulations to image reconstruction

Author: Hilaire, E., Robert, Cédric, Lojacono, X., Lartizien, C., Buvat, I., Maxim, Voichita, 4 - Imagerie Tomographique et Radiothérapie, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ), Imagerie et Modélisation en Neurobiologie et Cancérologie ( IMNC ), Université Paris-Sud - Paris 11 ( UP11 ) -Institut National de Physique Nucléaire et de Physique des Particules du CNRS ( IN2P3 ) -Université Paris Diderot - Paris 7 ( UPD7 ) -Centre National de la Recherche Scientifique ( CNRS ), 2 - Images et Modèles, Imagerie Tomographique et Radiothérapie, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Imagerie et Modélisation en Neurobiologie et Cancérologie (IMNC (UMR_8165)), Université Paris-Sud - Paris 11 (UP11)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Images et Modèles, Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), and Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)
Subjects: [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, ComputingMilieux_MISCELLANEOUS, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging
Abstract: International audience
Published: 2013

19. Aide au diagnostic du lymphome en imagerie hybride TEP/TDM: distinctions entre fixations cancéreuses et inflammatoires

Author: Lartizien , C., Rogez , M., Niaf , E., Ricard , F., Images et Modèles, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre Hospitalier Universitaire de Lyon (CHU Lyon), 2 - Images et Modèles, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ), Département de médecine nucléaire, and Hospices Civils de Lyon ( HCL )
Subjects: [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, ComputingMilieux_MISCELLANEOUS
Abstract: National audience
Published: 2012

20. Design of an ontology for the annotation of object models used for medical image simulation

Author: Gibaud , B., Forestier , G., Benoit-Cattin , B., Cervenansky , F., Clarysse , P., Friboulet , D., Gaignard , A., Hugonnard , P., Lartizien , C., Liebgott , H., Montagnat , J., Tabary , J., Glatard , T., Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM), Modélisation, Intelligence, Processus et Système (MIPS), Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse, Images et Modèles, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Service Informatique et développements, Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales (MOTIVATE), Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Equipe MODALIS, Scalable and Pervasive softwARe and Knowledge Systems (Laboratoire I3S - SPARKS), Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S), Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Commissariat à l'énergie atomique et aux énergies alternatives - Laboratoire d'Electronique et de Technologie de l'Information (CEA-LETI), Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Imagerie Ultrasonore, Laboratoire Traitement du Signal et de l'Image ( LTSI ), Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), Modélisation, Intelligence, Processus et Système ( MIPS ), Université de Haute-Alsace (UHA) Mulhouse - Colmar ( Université de Haute-Alsace (UHA) ) -Ecole Nationale Supérieure d'Ingénieur Sud Alsace, 2 - Images et Modèles, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), 1 - Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales ( MOTIVATE ), Scalable and Pervasive softwARe and Knowledge Systems ( SPARKS ), Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis ( I3S ), Université Nice Sophia Antipolis ( UNS ), Université Côte d'Azur ( UCA ) -Université Côte d'Azur ( UCA ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Nice Sophia Antipolis ( UNS ), Université Côte d'Azur ( UCA ) -Université Côte d'Azur ( UCA ) -Centre National de la Recherche Scientifique ( CNRS ) -Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis ( I3S ), Université Côte d'Azur ( UCA ) -Université Côte d'Azur ( UCA ) -Centre National de la Recherche Scientifique ( CNRS ), Laboratoire d'Electronique et des Technologies de l'Information ( CEA-LETI ), Université Grenoble Alpes [Saint Martin d'Hères]-Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ), 3 - Imagerie Ultrasonore, Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA)), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Université Nice Sophia Antipolis (1965 - 2019) (UNS), and COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (1965 - 2019) (UNS)
Subjects: [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging, ComputingMilieux_MISCELLANEOUS
Abstract: National audience
Published: 2012

21. Evaluation clinique d'un système d'aide au diagnostic pour la caractérisation des zones suspectes en IRM multi-paramétrique de prostate

Author: Niaf , E., Lartizien , C., Bratan , F., Roche , L., Rabilloud , M., Mège-Lechevallier , F., Rouvière , O., 2 - Images et Modèles, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ), Application des ultrasons à la thérapie ( LabTAU ), Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Centre Léon Bérard [Lyon]-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Département de médecine nucléaire, Hospices Civils de Lyon ( HCL ), Images et Modèles, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Application des ultrasons à la thérapie (LabTAU), Centre Léon Bérard [Lyon]-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM), and Hospices Civils de Lyon (HCL)
Subjects: [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, ComputingMilieux_MISCELLANEOUS
Abstract: National audience
Published: 2012

22. Apport d'un système CADx pour la caractérisation des zones suspectes en IRM multiparamétrique de prostate

Author: Niaf , E., Lartizien , C., Bratan , F., Girouin , N., Papillard , M., Pagnoux , G., Vitry , T., Chamard , L., Renosi , G., Sanzalone , T., Mège-Lechevallier , F., Rouvière , O., 2 - Images et Modèles, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ), Département de médecine nucléaire, Hospices Civils de Lyon ( HCL ), Department of Urinary and Vascular Radiology, Applications des ultrasons à la thérapie, Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Images et Modèles, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Hospices Civils de Lyon (HCL), and Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM)
Subjects: [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, ComputingMilieux_MISCELLANEOUS
Abstract: National audience
Published: 2012

23. Magnetic resonance imaging follow-up of liver growth of neuroendocrine tumors in an experimental mouse model

Author: Baboi, L., Pilleul, F., Milot, L., Lartizien, C., Poncet, G., Roche, C., Scoazec, J. Y., Beuf, O., Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Images et Modèles, Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Laboratoire Charles Friedel, Université Pierre et Marie Curie - Paris 6 (UPMC)-Ecole Nationale Supérieure de Chimie de Paris - Chimie ParisTech-PSL (ENSCP), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Tumeurs endocrines digestives : mécanismes de la tumorigenèse et de la progression tumorale, Université Claude Bernard Lyon 1 (UCBL), and Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM)
Subjects: [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, ComputingMilieux_MISCELLANEOUS
Abstract: International audience
Published: 2010

24. The clearPET' LSO/LuYAP phoswich scanner: a high performance small animal PET system

Author: Ziemons, K., Auffray, E., Barbier, R., Brandenburg, G., Bruyndonckx, P., Choi, Y., Christ, D., Costes, N., Declais, Y., Devroede, O., Dujardin, C., Fedorov, A. A., Heinrichs, U., Hollendung, A., Korjhik, M. J., Krieguer, M., Kuntner, C., Largeron, G., Lartizien, C., Larue, H., Lecoq, P., Leonard, S., Marteau, J., Morel, C., Mosset, J. B., Parl, C., Pedrini, C., Petrosyan, A. G., Pietrzyk, U., Rey, M., Saladino, S., Sappey-Marinier, D., Marc Janier, Simon, L., Streun, M., Tavernier, S., Vieira, J. M., Centre de Recherche et d'Application en Traitement de l'Image et du Signal ( CREATIS ), Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -École Supérieure Chimie Physique Électronique de Lyon-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Laboratoire Creatis, Compte Général, Centre de Recherche et d'Application en Traitement de l'Image et du Signal (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-École Supérieure Chimie Physique Électronique de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)
Subjects: imagerie_isotopique, reseau_international, SDV:MHEP, imagerie_morphologique_fonctionnelle
Abstract: article
Published: 2004

25. Sharing object models for multi-modality medical image simulation: A semantic approach.

Author: Forestier, G., Marion, A., Benoit-Cattin, H., Clarysse, P., Friboulet, D., Glatard, T., Hugonnard, P., Lartizien, C., Liebgott, H., Tabary, J., and Gibaud, B.
Published: 2011
Full Text: View/download PDF

26. Multi-modality medical image simulation of biological models with the Virtual Imaging Platform (VIP).

Author: Marion, A., Forestier, G., Benoit-Cattin, H., Camarasu-Pop, S., Clarysse, P., da Silva, R.F., Gibaud, B., Glatard, T., Hugonnard, P., Lartizien, C., Liebgott, H., Specovius, S., Tabary, J., Valette, S., and Friboulet, D.
Published: 2011
Full Text: View/download PDF

27. Incorporating patient-specific variability in the oncoPET_DB database.

Author: Marache-Francisco, S., Prost, R., Rouet, J.-M., and Lartizien, C.
Abstract: The purpose of this study was to generate a series of simulated 18F-FDG PET oncology images incorporating variability of patient anatomy and 18F-FDG uptake in the main organs as well as realistic respiratory motion. These data are based on the XCAT model adapted to a series of clinical CT data and on patient respiratory cycles derived from spirometry records. Spherical 8 and 12 mm diameter lesions of homogeneous uptake were randomly distributed in the lungs and the liver, which are both significantly impacted by respiratory motion. Five different lesion contrasts per diameter and per organ were sampled based on a human observer detection study so as to cover the entire range of detectability. The simulated database was generated with the PET-SORTEO Monte-Carlo simulation tool that was fully validated against the geometry of the GEMINI system (Philips Healthcare, Cleveland, OH). The simulated database is actually composed of 15 whole body PET simulated images with a total of 107 tumors in the liver and 173 tumors in the lungs. These data will complete the first series of images of the oncoPET_DB database (www.creatis.insa-lyon.fr/oncoPET_DB) by providing the raw list-mode files of the 15 models as well as four sets of reconstruction per model. These four series include the extreme cases of respiration-free (non breathing) and free-respiration (no correction) images and two respiratory motion corrected images based on the estimation of elastic transformation fields applied either on the reconstruction system matrix, during reconstruction, or a posteriori, on the reconstructed PET gated images. Perspectives include performing a human FROC study on the 15 images to validate the lesion contrast calibration. [ABSTRACT FROM PUBLISHER]
Published: 2011
Full Text: View/download PDF

28. Handling uncertainties in SVM classification.

Author: Niaf, E., Flamary, R., Lartizien, C., and Canu, S.
Published: 2011
Full Text: View/download PDF

29. Realistic X-ray CT simulation of the XCAT phantom with SINDBAD.

Author: Tabary, J., Marache-Francisco, S., Valette, S., Segars, W.P., and Lartizien, C.
Published: 2009
Full Text: View/download PDF

30. Impact of partial volume correction in whole-body PET imaging: A computer-aided detection study.

Author: Lartizien, C., Marache-Francisco, S., Le Pogam, A., Tomei, S., and Visvikis, D.
Published: 2009
Full Text: View/download PDF

31. Characterization of neuro-endocrine tumors in an athymic nude mouse model using dedicated synchronization strategies for T2-weigted MR imaging at 7T.

Author: Baboi, L.M., Milot, L., Lartizien, C., Roche, C., Scoazec, J.-Y., Pilleul, F., and Beuf, O.
Published: 2007
Full Text: View/download PDF

32. Validation of SORTEO Monte Carlo simulations for the geometry of the Concorde MicroPET R4 system.

Author: Lartizien, C., Goertzen, A., Reilhac, A., Siegel, S., Costes, N., Magnin, I., Gimenez, G., and Evans, A.C.
Published: 2005
Full Text: View/download PDF

33. Comparison of 3D PET data bootstrap resampling methods for numerical observer studies.

Author: Lartizien, C. and Buvat, I.
Published: 2005
Full Text: View/download PDF

34. Evaluation of multiclass model observers in PET LROC studies.

Author: Gifford, H.C., Kinahan, P.E., Lartizien, C., and King, M.A.
Published: 2004
Full Text: View/download PDF

35. Numerical and human observer comparisons of tumor detection for 2D versus 3D whole-body PET imaging protocols.

Author: Lartizien, C., Kinahan, P.E., Swensson, R., Comtat, C., and Trebossen, R.
Published: 2001
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36. Correction methods for random coincidences in 3D wholebody PET imaging.

Author: Brasse, D., Kinahan, P.E., Lartizien, C., Corntat, C., Casey, M., Michel, C., and Bruckbauer, T.
Published: 2001
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37. Computer-Aided Staging of Lymphoma Patients With FDG PET/CT Imaging Based on Textural Information.

Author: Lartizien, C., Rogez, M., Niaf, E., and Ricard, F.
Subjects: TOMOGRAPHY, COMPUTER-aided design, POSITRON emission tomography, GLUCOSE, CANCER treatment, RADIOLOGY, SUPPORT vector machines
Abstract: We have designed a computer-aided diagnosis system to discriminate between hypermetabolic cancer lesions and hypermetabolic inflammatory or physiological but noncancerous processes in FDG PET/CT exams of lymphoma patients. Detection performance of the support vector machine (SVM) classifier was assessed based on feature sets including 105 positron emission tomography (PET) and Computed tomography (CT) characteristics derived from the clinical practice and from more sophisticated texture analysis. An original feature selection method based on combining different filter methods was proposed. The evaluation database consisted of 156 lymphomatous and 32 suspicious but nonlymphomatous regions of interest. Different types of training databases including either the PET and CT features or the PET features only, with or without feature selection, were evaluated to assess the added value of multimodality and texture information on classification performance. An optimization study was conducted for each classifier separately to select the best combination of parameters. Promising classification performance was achieved by the SVM classifier combined with the 12 most discriminant PET and CT features with a value of the area under the receiver operating curve of 0.91. [ABSTRACT FROM PUBLISHER]
Published: 2014
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38. Management de la qualité de la prise en charge médicamenteuse en milieu hospitalier, expérience de l’hôpital Villiers-Saint-Denis, France

Author: Talmud, J., Thoor-Delobel, A., Lartizien, C., and Wilhem-Poignon, L.
Published: 2012
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39. Numerical Observer Studies Comparing FORE + AWOSEM, FORE + NECOSEM and NEC Based Fully 3-D OSEM for 3-D Whole-Body PET Imaging.

Author: Janeiro, L., Comtat, C., Lartizien, C., Kinahan, P. E., Defrise, M., Michel, C., Trébossen, R., and Almeida, P.
Subjects: POSITRON emission tomography, IMAGE reconstruction, MEDICAL imaging systems, DIAGNOSTIC imaging, COMPUTER-aided diagnosis, MEDICAL photography, PRECANCEROUS conditions, MEDICAL equipment, ELECTRONIC noise
Abstract: In this work, we use the NEC (Noise Equivalent Count) transformation method of Nuyts et al, in the OSEM reconstruction technique as a procedure to partially restore the Poisson characteristics of 3-D whole-body PET pre-corrected data. We compare the use of FORE followed by NEC-weighted OSEM (FORE+NECOSEM) with FORE+AWOSEM was well as with fully 3-D implementations of NEC weighted OSEM, in terms of lesion detectability, using a 3-D version of the non-prewhitening matched filter numerical observer. In FORE+NECOSEM, only a multiplicative weight was applied (NEC-scaling) that accounts for the effects of both the quantitative corrections and FORE itself. For the fully 3-D reconstruction, we used both the shifted-Poisson approach (SPOSEM3D) and a 3-D implementation of NEC-scaling OSEM. In addition to NECOSEM, FORE+AWOSEM (attenuation weighted) and ANWOSEM3D (attenuation and normalization weighted) were also tested. We simulated 3-D whole-body PET exams with 1 cm diameter lesions. The results demonstrate an overall improved performance of FORE+NECOSEM and fully 3-D algorithms compared to FORE+AWOSEM. We also found that the behavior of the fully 3-D NECOSEM reconstruction algorithm was sensitive to the manner of calculating the NEC weights. [ABSTRACT FROM AUTHOR]
Published: 2006
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40. 60 poster: Impact of the Image Spatial Sampling on Tumour Detection in 18F-FDG PET

Author: Maroy, R., Saint Christophe, L., Lartizien, C., Merlet, P., Comtat, C., and Trebossen, R.
Published: 2010
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41. Impact of respiratory motion correction on the detection of small lesions in whole-body PET imaging: A simulation study.

Author: Marache-Francisco, S., Lamare, F., Fayad, H., Visvikis, D., Prost, R., Rouet, J.-M., and Lartizien, C.
Published: 2010
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42. GATE: a simulation toolkit for PET and SPECT

Author: Jan, S, Santin, G, Strul, D, Staelens, S, Assié, K, Autret, D, Avner, S, Barbier, R, Bardiès, M, Bloomfield, P M, Brasse, D, Breton, V, Bruyndonckx, P, Buvat, I, Chatziioannou, A F, Choi, Y, Chung, Y H, Comtat, C, Donnarieix, D, Ferrer, L, Glick, S J, Groiselle, C J, Guez, D, Honore, P-F, Kerhoas-Cavata, S, Kirov, A S, Kohli, V, Koole, M, Krieguer, M, Laan, D J van der, Lamare, F, Largeron, G, Lartizien, C, Lazaro, D, Maas, M C, Maigne, L, Mayet, F, Melot, F, Merheb, C, Pennacchio, E, Perez, J, Pietrzyk, U, Rannou, F R, and Rey, M
Abstract: Monte Carlo simulation is an essential tool in emission tomography that can assist in the design of new medical imaging devices, the optimization of acquisition protocols and the development or assessment of image reconstruction algorithms and correction techniques. GATE, the Geant4 Application for Tomographic Emission, encapsulates the Geant4 libraries to achieve a modular, versatile, scripted simulation toolkit adapted to the field of nuclear medicine. In particular, GATE allows the description of time-dependent phenomena such as source or detector movement, and source decay kinetics. This feature makes it possible to simulate time curves under realistic acquisition conditions and to test dynamic reconstruction algorithms. This paper gives a detailed description of the design and development of GATE by the OpenGATE collaboration, whose continuing objective is to improve, document and validate GATE by simulating commercially available imaging systems for PET and SPECT. Large effort is also invested in the ability and the flexibility to model novel detection systems or systems still under design. A public release of GATE licensed under the GNU Lesser General Public License can be downloaded at http://www-lphe.epfl.ch/GATE/. Two benchmarks developed for PET and SPECT to test the installation of GATE and to serve as a tutorial for the users are presented. Extensive validation of the GATE simulation platform has been started, comparing simulations and measurements on commercially available acquisition systems. References to those results are listed. The future prospects towards the gridification of GATE and its extension to other domains such as dosimetry are also discussed.
Published: 2004

43. Assessment of 99mTcN-NOET and thallium-201 myocardial uptake in experimental models of chronic non-reperfused and reperfused myocardial infarction

Author: Riou, L. Laurent, Broisat, A., Ghezzi, C., Lartizien, C., Berthonnèche, C., Toufektsian, M.C., Maitrejean, S., Janier, M., Vanzetto, G., and Fagret, D.
Published: 2005
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44. The clearPET™ LSO/LuYAP phoswich scanner: A high performance small animal PET system

Author: Ziemons, K., Auffray, E., Barbier, R., Brandenburg, G., Bruyndonckx, P., Choi, Y., Christ, D., Costes, N., Declais, Y., Devroede, O., Dujardin, C., Fedorov, A. A., Heinrichs, U., Hollendung, A., Korjhik, M. J., Krieguer, M., Kuntner, C., Largeron, G., Lartizien, C., Larue, H., Lecoq, P., Leonard, S., Marteau, J., Christian MOREL, Mosset, J. B., Parl, Ch, Pedrini, Ch, Petrosyan, A. G., Pietrzyk, U., Rey, M., Saladino, S., Sappey-Marinier, D., Simon, L., Streun, M., Tavernier, S., and Vieira, J. M.

45. Optimization of injected dose based on noise equivalent count rates for 2- and 3-dimensional whole-body PET

Author: Lartizien, C., Comtat, C., Kinahan, P. E., Nuno Ferreira, Bendriem, B., and Trébossen, R.

46. Converting SVDD scores into probability estimates

Author: El Azami, M., Lartizien, C., Stéphane Canu, Images et Modèles, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes (LITIS), Université Le Havre Normandie (ULH), Normandie Université (NU)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA), ANR-11-LABX-0063,PRIMES,Physique, Radiobiologie, Imagerie Médicale et Simulation(2011), Rayet, Béatrice, Physique, Radiobiologie, Imagerie Médicale et Simulation - - PRIMES2011 - ANR-11-LABX-0063 - LABX - VALID, Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), 2 - Images et Modèles, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ) -Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes ( LITIS ), Université Le Havre Normandie ( ULH ), Normandie Université ( NU ) -Normandie Université ( NU ) -Université de Rouen Normandie ( UNIROUEN ), Normandie Université ( NU ) -Institut national des sciences appliquées Rouen Normandie ( INSA Rouen Normandie ), Normandie Université ( NU ), and ANR-11-IDEX-0007-02/11-LABX-0063,PRIMES,Physique, Radiobiologie, Imagerie Médicale et Simulation ( 2011 )
Subjects: [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [STAT.ML] Statistics [stat]/Machine Learning [stat.ML], [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
Abstract: International audience; To enable post-processing, the output of a support vector data description (SVDD) should be a calibrated probability as done for SVM. Standard SVDD does not provide such probabilities. To create probabilities , we first generalize the SVDD model and propose two calibration functions. The first one uses a sigmoid model and the other one is based on a generalized extreme distribution model. To estimate calibration parameters , we use the consistency property of the estimator associated with a single SVDD model. A synthetic dataset and datasets from the UCI repository are used to compare the performance against a robust kernel density estimator.

47. High resolution imaging with ClearPET (TM) neuro - First animal images

Author: Khodaverdi, M., Weber, S., Streun, M., Parl, Ch, Larue, H., Brandenburg, G., Bauer, A., Delinhardt, M., Auffray, E., Boutemeur, M., Bruyndonckx, P., Choi, Y., D Asseler, Y., Devroede, O., Dujardin, C., Fedorov, A., Heinrichs, U., Janier, A., Jung, J. H., Korjik, M., Krieguer, M., Largeron, G., Lartizien, C., Lecoq, P., Lemaitre, C., Leonard, S., Loude, J. F., Morel, C., Mosset, J. B., Pedrini, C., Petrosyan, A. G., Rey, M., Dominic Sappey-Marinier, Roldan, P. Sempere, Simon, L., Song, T. Y., Staelens, S., Tavernier, S., Trummer, J., Holen, R., Vieira, J. M., Wieers, E., Wisniewska, A., Wisniewski, D., Wu, Y., Pletrzyk, U., and Ziemons, K.

48. Correction methods for random coincidences in fully 3D whole-body PET: Impact on data and image quality

Author: Brasse, D., Paul Kinahan, Lartizien, C., Comtat, C., Casey, M., Michel, C., Département Recherches Subatomiques ( DRS-IPHC ), Institut National de Physique Nucléaire et de Physique des Particules du CNRS ( IN2P3 ) -Université Louis Pasteur - Strasbourg I-Centre National de la Recherche Scientifique ( CNRS ), Centre d'Exploration et de Recherche Médicales par Émission de Positons ( CERMEP ), Université Joseph Fourier - Grenoble 1 ( UJF ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-CHU Grenoble-Hospices Civils de Lyon ( HCL ) -CHU Saint-Etienne-Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Service Hospitalier Frédéric Joliot ( SHFJ ), Direction de Recherche Fondamentale (CEA) ( DRF (CEA) ), Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Université Paris-Saclay, Département Recherches Subatomiques (DRS-IPHC), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Louis Pasteur - Strasbourg I-Centre National de la Recherche Scientifique (CNRS), Centre d'Etude et de Recherche Multimodal Et Pluridisciplinaire en imagerie du vivant (CERMEP - imagerie du vivant), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-CHU Grenoble-Hospices Civils de Lyon (HCL)-CHU Saint-Etienne-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Service Hospitalier Frédéric Joliot (SHFJ), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Centre d'Exploration et de Recherche Médicales par Émission de Positons (CERMEP), Université Joseph Fourier - Grenoble 1 (UJF)-Université Claude Bernard Lyon 1 (UCBL), and Université de Lyon-Université de Lyon-CHU Grenoble-Hospices Civils de Lyon (HCL)-CHU Saint-Etienne-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)
Subjects: fully 3-dimensional whole-body PET, random coincidences, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, NEC, image quality, SNR, [ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging
Abstract: With the advantages of the increased sensitivity of fully 3-dimensional (3D) PET for whole-body imaging come the challenges of more complicated quantitative corrections and, in particular, an increase in the number of random coincidences. The most common method of correcting for random coincidences is the real-time subtraction of a delayed coincidence channel, which does not add bias but increases noise. An alternative approach is the postacquisition subtraction of a low-noise random coincidence estimate, which can be obtained either from a smoothed delayed coincidence sinogram or from a calibration scan or directly estimated. Each method makes different trade-offs between noise amplification, bias, and data-processing requirements. These trade-offs are dependent on activity injected, the local imaging environment (e.g., near the bladder), and the reconstruction algorithm. Methods: Using fully 3D whole-body simulations and phantom studies, we investigate how the gains in noise equivalent count (NEC) rates from using a noiseless random coincidence estimation method are translated to improvements in image signal-to-noise ratio (SNR). The image SNR, however, depends on the image reconstruction method and the local imaging environment. Results: We show that for fully 3D whole-body imaging using a particular set of scanners and clinical protocols, a low-noise estimate of random coincidences improves sinogram and image SNRs by approximately 15% compared with online subtraction of delayed coincidences. Conclusion: A 15% improvement in image SNR arises from a 32% increase in the NEC rate. Thus, scan duration can be reduced by 25% while still maintaining a constant total acquired NEC

49. Poster display IV experimental and instrumentation

Author: Masoli, O., Redruello, M., Ogresta, F., Collaud, C., Koslowski, P., Baliño, N., Eleta, M., Arce, P., Vidal, L., Kardash, O., Maroz-Vadalajskaya, N., Vanhove, C., Lahoutte, T., Defrise, M., Andreyev, A., Bossuyt, A., Franken, P., Maskali, F., Nloga, J., Tran, N., Marie, P., Peix, A., Garcia-Barreto, D., Ponce, F., Cabrera, L., Valiente, J., Tornes, F., Guerrero, I., Heres, F., Garcia, E., Cabale, B., Bindslev, L., Bisgaard, K., Haack-Soerensen, M., Mortensen, S., Kragh, L., Kjaer, A., Kastrup, J., Hesse, B., Aboul-Enein, F., Battah, A., Fattah, A., Atty, A., Allam, A., Riou, L., Broisat, A., Ghezzi, C., Lartizien, C., Berthonneche, C., Toufektsian, M., Maitrejean, S., Janier, M., Vanzetto, G., Fagret, D., Rouzet, F., Daou, D., Lebtahi, R., Frank, R., Leenhardt, A., Slama, M., Guludec, D., Sarda-Mantel, L., Michel, J., Martet, G., Meulemans, A., Vrigneaud, J., Coaguila, C., Benada, A., Razzouk, M., Idy-Peretti, I., Vilain, D., Stegger, L., Schäfers, K., Flögel, U., Schrader, J., Schober, O., Levkau, B., Schäfers, M., Kies, P., Wichter, T., Wielepp, J., Baller, D., Pulawski, E., Weise, R., Fricke, E., Horstkotte, D., Burchert, W., Eckert, S., Dongas, A., Nekolla, S., Martinez, M., Howe, W., Kehren, F., Ziegler, S., Vassiliadis, I., Souretis, G., Komporozos, C., Fountos, A., Papademetriou, A., Spanos, A., Antoniou, A., Strembelas, P., Moralidis, E., Arsos, G., Boundas, D., Georga, S., Karatzas, N., Karakatsanis, K., Prassopoulos, V., Parthenakis, F., Patrianakos, A., Koukouraki, S., Velidaki, A., Karkavitsas, N., Vardas, P., Perisinakis, K., Koutsikos, J., Sundaraiya, S., Sumati, S., Sambhasivam, KA, David, S., Zakavi, S., Kakhki, V., Jabari, H., Zingerman, B., Bendayan, D., Sagie, A., Solodky, A., Mats, I., Shapira, Y., Kremer, M., Zafrir, N., Rimini, M., Catalano, M., Bonzani, G., Scalzone, A., Merenda, R., Monteforte, I., Monda, V., Muto, P., Carboni, G., Miglionico, M., Tavolozza, M., Marcassa, C., Campini, R., Calza, P., Giannuzzi, P., Eleuteri, E., Scapellato, F., Temporelli, P., Pellegrino, T., Storto, G., Sorrentino, A., Silvestri, A., Filardi, P., Brevetti, G., Cuocolo, A., Cho, K., Kumita, S., Seino, K., Nakajo, H., Toba, M., Kumazaki, T., Muramatsu, T., Yamazaki, T., Seki, K., Kawanami, J., Nakajima, T., Yamada, Y., Suga, T., Matsumoto, K., Nishimura, S., Taki, J., Higuchi, T., Kawashima, A., Nakajima, K., Muramori, A., Matsunari, I., Tait, J., Vanderheyden, J., Strauss, H., Tonami, N., Adachi, I., Shimomura, H., Kintaka, T., Komori, T., Ogura, Y., Kitaura, Y., Narabayashi, I., Iida, H., Zeniya, T., Kim, K., Watabe, H., Teramoto, N., Yamamichi, Y., Alexanderson, E., Ricalde, A., Vargas, A., Meave, A., Amigo, M., Misko, J., Dziuk, M., Warczynska, A., Skrobowska, E., Vasconcelos, M., Martins, E., Faria, T., Oliveira, A., Pardal, N., Macedo, F., Pereira, J., Rocha-Gonçalves, F., Cantinho, G., Pena, H., Freire, L., Veiga, A., Gonçalves, P., Godinho, F., Chua, T., Lee, C., Keng, F., Ding, Z., Koh, T., Awamleh, P., Talavera, P., Torres, V., Balsa, M., González, O., Alberca, M., Miguel, R., Cosío, F., Lomsky, M., Richter, J., Johansson, L., El-Ali, H., Åström, K., Ljungberg, M., Edenbrandt, L., Hung, G., Lee, K., Chen, C., Yang, K., Pekindil, G., Sarikaya, A., Ege, T., Salihoglu, S., Entok, E., Cavusoglu, Y., Ak, I., Vardareli, E., Timuralp, B., Tout, D., Loong, C., Naidoo, V., Aswegen, A., Underwood, S., Thorley, P., Goris, M., ZHU, H., Clements, I., Mullan, B., O'Connor, M., Breen, J., McGregor, C., Liu, Y., Li, S., Bourke, B., Weyman, C., Sinusas, A., Ramakrishna, G., Miller, T., Gibbons, R., Tsatkin, V., Wackers, F., Prior, J., Facta, A., Schindler, T., Oxilia-Estigarribia, M., Hernandez-Pampaloni, M., Campisi, R., Zhang, X., Bischof-Delaloye, A., Nathan, L., Schelbert, H., Gullberg, G., Huesman, R., Reutter, B., Sitek, A., Veress, A., Weiss, J., Qi, J., Yang, Y., Gordi, T., Olmsted, A., Lieu, H., Belardinelli, L., Masoli, O., Redruello, M., Ogresta, F., Collaud, C., Koslowski, P., Baliño, N., Eleta, M., Arce, P., Vidal, L., Kardash, O., Maroz-Vadalajskaya, N., Vanhove, C., Lahoutte, T., Defrise, M., Andreyev, A., Bossuyt, A., Franken, P., Maskali, F., Nloga, J., Tran, N., Marie, P., Peix, A., Garcia-Barreto, D., Ponce, F., Cabrera, L., Valiente, J., Tornes, F., Guerrero, I., Heres, F., Garcia, E., Cabale, B., Bindslev, L., Bisgaard, K., Haack-Soerensen, M., Mortensen, S., Kragh, L., Kjaer, A., Kastrup, J., Hesse, B., Aboul-Enein, F., Battah, A., Fattah, A., Atty, A., Allam, A., Riou, L., Broisat, A., Ghezzi, C., Lartizien, C., Berthonneche, C., Toufektsian, M., Maitrejean, S., Janier, M., Vanzetto, G., Fagret, D., Rouzet, F., Daou, D., Lebtahi, R., Frank, R., Leenhardt, A., Slama, M., Guludec, D., Sarda-Mantel, L., Michel, J., Martet, G., Meulemans, A., Vrigneaud, J., Coaguila, C., Benada, A., Razzouk, M., Idy-Peretti, I., Vilain, D., Stegger, L., Schäfers, K., Flögel, U., Schrader, J., Schober, O., Levkau, B., Schäfers, M., Kies, P., Wichter, T., Wielepp, J., Baller, D., Pulawski, E., Weise, R., Fricke, E., Horstkotte, D., Burchert, W., Eckert, S., Dongas, A., Nekolla, S., Martinez, M., Howe, W., Kehren, F., Ziegler, S., Vassiliadis, I., Souretis, G., Komporozos, C., Fountos, A., Papademetriou, A., Spanos, A., Antoniou, A., Strembelas, P., Moralidis, E., Arsos, G., Boundas, D., Georga, S., Karatzas, N., Karakatsanis, K., Prassopoulos, V., Parthenakis, F., Patrianakos, A., Koukouraki, S., Velidaki, A., Karkavitsas, N., Vardas, P., Perisinakis, K., Koutsikos, J., Sundaraiya, S., Sumati, S., Sambhasivam, KA, David, S., Zakavi, S., Kakhki, V., Jabari, H., Zingerman, B., Bendayan, D., Sagie, A., Solodky, A., Mats, I., Shapira, Y., Kremer, M., Zafrir, N., Rimini, M., Catalano, M., Bonzani, G., Scalzone, A., Merenda, R., Monteforte, I., Monda, V., Muto, P., Carboni, G., Miglionico, M., Tavolozza, M., Marcassa, C., Campini, R., Calza, P., Giannuzzi, P., Eleuteri, E., Scapellato, F., Temporelli, P., Pellegrino, T., Storto, G., Sorrentino, A., Silvestri, A., Filardi, P., Brevetti, G., Cuocolo, A., Cho, K., Kumita, S., Seino, K., Nakajo, H., Toba, M., Kumazaki, T., Muramatsu, T., Yamazaki, T., Seki, K., Kawanami, J., Nakajima, T., Yamada, Y., Suga, T., Matsumoto, K., Nishimura, S., Taki, J., Higuchi, T., Kawashima, A., Nakajima, K., Muramori, A., Matsunari, I., Tait, J., Vanderheyden, J., Strauss, H., Tonami, N., Adachi, I., Shimomura, H., Kintaka, T., Komori, T., Ogura, Y., Kitaura, Y., Narabayashi, I., Iida, H., Zeniya, T., Kim, K., Watabe, H., Teramoto, N., Yamamichi, Y., Alexanderson, E., Ricalde, A., Vargas, A., Meave, A., Amigo, M., Misko, J., Dziuk, M., Warczynska, A., Skrobowska, E., Vasconcelos, M., Martins, E., Faria, T., Oliveira, A., Pardal, N., Macedo, F., Pereira, J., Rocha-Gonçalves, F., Cantinho, G., Pena, H., Freire, L., Veiga, A., Gonçalves, P., Godinho, F., Chua, T., Lee, C., Keng, F., Ding, Z., Koh, T., Awamleh, P., Talavera, P., Torres, V., Balsa, M., González, O., Alberca, M., Miguel, R., Cosío, F., Lomsky, M., 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50. Po-topic III-07: Evaluating image quality for whole-body pet imaging

Author: Kinahan, P., Lartizien, C., Comtat, C, Kim, J., and Brasse, D.
Published: 2003
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