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346 results on '"Sorantin, E."'

53. Techniques of virtual dissection of the colon based on spiral CT data

Author

Sorantin, E., Balogh, E., Vilanova, Anna, Palagyi, K., Nyul, L. G., Lindbichler, F., Ruppert, A., Neri, E., Caramella, D., Bartolozzi, C., Medical Image Analysis, and Visualization

Subjects
medicine.medical_specialty, Virtual colonoscopy, medicine.diagnostic_test, Colorectal cancer, business.industry, Fecal occult blood, Cancer, Colonoscopy, Rectal examination, SDG 3 – Goede gezondheid en welzijn, medicine.disease, SDG 3 - Good Health and Well-being, Localized disease, medicine, Radiology, business, Barium enema
Abstract

Colorectal cancer represents the third most commonly diagnosed cancer and is the second leading cause of cancer deaths in the United States (Gazelle et al. 2000). In addition, colorectal cancer is responsible for about 11% of all new cancer cases per year (Gazelle et al. 2000). Five-year prognosis is about 90% for patients with localized disease compared to 60% if there is a regional spread and a drop to 10% in patients with distant metastasis (Gazelle et al. 2000). In the field of medicine there is a widely accepted opinion that most colorectal cancers arise from pre-existent adenomatous polyps (Johnson 2000). Therefore, different societies, such as the American Cancer Society, have proposed screening for colorectal cancer (Byers et al. 1997; Winawer et al. 1997). Today, different options exist for detection of colorectal cancer, including digital rectal examination, fecal occult blood testing, flexible and rigid sigmoidoscopy, barium enema and its variants, colonoscopy and recently computed tomography or magnetic resonance-based virtual colonography (Gazelle et al. 2000).

Published
2007
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59. Comparison and evaluation of methods for liver segmentation from CT datasets.

Author

Heimann, T., Ginneken, B. van, Styner, M.A., Arzhaeva, Y., Aurich, V., Bauer, C., Beck, A., Becker, C., Beichel, R., Bekes, G., Bello, F. de, Binnig, G., Bischof, H., Bornik, A., Cashman, P.M., Chi, Y., Cordova, A., Dawant, B.M., Fidrich, M., Furst, J.D., Furukawa, D., Grenacher, L., Hornegger, J., Kainmuller, D., Kitney, R.I., Kobatake, H., Lamecker, H., Lange, T., Lee, J., Lennon, B., Li, R., Li, S., Meinzer, H.P., Nemeth, G., Raicu, D.S., Rau, A.M., Rikxoort, E.M. van, Rousson, M., Rusko, L., Saddi, K.A., Schmidt, G, Seghers, D., Shimizu, A., Slagmolen, P., Sorantin, E., Soza, G., Susomboon, R., Waite, J.M., Wimmer, A., Wolf, I., Heimann, T., Ginneken, B. van, Styner, M.A., Arzhaeva, Y., Aurich, V., Bauer, C., Beck, A., Becker, C., Beichel, R., Bekes, G., Bello, F. de, Binnig, G., Bischof, H., Bornik, A., Cashman, P.M., Chi, Y., Cordova, A., Dawant, B.M., Fidrich, M., Furst, J.D., Furukawa, D., Grenacher, L., Hornegger, J., Kainmuller, D., Kitney, R.I., Kobatake, H., Lamecker, H., Lange, T., Lee, J., Lennon, B., Li, R., Li, S., Meinzer, H.P., Nemeth, G., Raicu, D.S., Rau, A.M., Rikxoort, E.M. van, Rousson, M., Rusko, L., Saddi, K.A., Schmidt, G, Seghers, D., Shimizu, A., Slagmolen, P., Sorantin, E., Soza, G., Susomboon, R., Waite, J.M., Wimmer, A., and Wolf, I.

Abstract

Contains fulltext : 81757.pdf (Publisher’s version ) (Open Access), This paper presents a comparison study between 10 automatic and six interactive methods for liver segmentation from contrast-enhanced CT images. It is based on results from the "MICCAI 2007 Grand Challenge" workshop, where 16 teams evaluated their algorithms on a common database. A collection of 20 clinical images with reference segmentations was provided to train and tune algorithms in advance. Participants were also allowed to use additional proprietary training data for that purpose. All teams then had to apply their methods to 10 test datasets and submit the obtained results. Employed algorithms include statistical shape models, atlas registration, level-sets, graph-cuts and rule-based systems. All results were compared to reference segmentations five error measures that highlight different aspects of segmentation accuracy. All measures were combined according to a specific scoring system relating the obtained values to human expert variability. In general, interactive methods reached higher average scores than automatic approaches and featured a better consistency of segmentation quality. However, the best automatic methods (mainly based on statistical shape models with some additional free deformation) could compete well on the majority of test images. The study provides an insight in performance of different segmentation approaches under real-world conditions and highlights achievements and limitations of current image analysis techniques.

Published
2009

70. Klinischer Stellenwert und Indikationen zur Magnetresonanztomografie des Herzens 2013: Ein interdisziplinäres Expertenstatement

Author

Hergan, K., additional, Globits, S., additional, Schuchlenz, H., additional, Kaiser, B., additional, Fiegl, N., additional, Artmann, A., additional, Hawlisch, K., additional, Newrkla, S., additional, Gessner, M., additional, Bernt, R., additional, Schuler, J., additional, Friedrich, G., additional, Trieb, T., additional, Wolf, F., additional, Reiter, G., additional, Sorantin, E., additional, Loewe, C., additional, and Gamillscheg, A., additional

Published
2013
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89. Angeborene Herzfehler

Author

Sorantin, E, primary, Gamillscheg, A, additional, Travar, S, additional, Zuba, N, additional, and Ehrlich, G, additional

Published
2008
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92. Pulmonary valve replacement using mechanical prostheses and additional right ventricular volume reduction plasty – an option to restore right ventricular outflow tract in congenital patients?

Author

Knez, I, primary, Koköfer, A, additional, Ovcina, I, additional, Dacar, D, additional, Krumnikl, J, additional, Toller, W, additional, Gamillscheg, A, additional, Nagel, B, additional, Boysen, A, additional, Sorantin, E, additional, and Rigler, B, additional

Published
2008
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