Search

Your search keyword '"Golosio B"' showing total 332 results
Start Over Author "Golosio B"
332 results on '"Golosio B"'

2. CADe tools for early detection of breast cancer

Author

Bottigli, U., Cerello, P. G., Delogu, P., Fantacci, M. E., Fauci, F., Forni, G., Golosio, B., Lauria, A., Lopez, E., Magro, R., Masala, G. L., Oliva, P., Palmiero, R., Raso, G., Retico, A., Stumbo, S., and Tangaro, S.

Subjects
Physics - Medical Physics
Abstract

A breast neoplasia is often marked by the presence of microcalcifications and massive lesions in the mammogram: hence the need for tools able to recognize such lesions at an early stage. Our collaboration, among italian physicists and radiologists, has built a large distributed database of digitized mammographic images and has developed a Computer Aided Detection (CADe) system for the automatic analysis of mammographic images and installed it in some Italian hospitals by a GRID connection. Regarding microcalcifications, in our CADe digital mammogram is divided into wide windows which are processed by a convolution filter; after a self-organizing map analyzes each window and produces 8 principal components which are used as input of a neural network (FFNN) able to classify the windows matched to a threshold. Regarding massive lesions we select all important maximum intensity position and define the ROI radius. From each ROI found we extract the parameters which are used as input in a FFNN to distinguish between pathological and non-pathological ROI. We present here a test of our CADe system, used as a second reader and a comparison with another (commercial) CADe system., Comment: 4 pages, Proceedings of the 4th International Symposium on Nuclear and Related Techniques 2003, Vol. unico, pp. d10/1-d10/4 Havana, Cuba

Published
2004

3. GPCALMA: A Tool For Mammography With A GRID-Connected Distributed Database

Author

Bottigli, U., Cerello, P., Cheran, S., Delogu, P., Fantacci, M. E., Fauci, F., Golosio, B., Lauria, A., Torres, E. Lopez, Magro, R., Masala, G. L., Oliva, P., Palmiero, R., Raso, G., Retico, A., Stumbo, S., and Tangaro, S.

Subjects
Physics - Medical Physics
Abstract

The GPCALMA (Grid Platform for Computer Assisted Library for MAmmography) collaboration involves several departments of physics, INFN sections, and italian hospitals. The aim of this collaboration is developing a tool that can help radiologists in early detection of breast cancer. GPCALMA has built a large distributed database of digitised mammographic images (about 5500 images corresponding to 1650 patients) and developed a CAD (Computer Aided Detection) software which is integrated in a station that can also be used for acquire new images, as archive and to perform statistical analysis. The images are completely described: pathological ones have a consistent characterization with radiologist's diagnosis and histological data, non pathological ones correspond to patients with a follow up at least three years. The distributed database is realized throught the connection of all the hospitals and research centers in GRID tecnology. In each hospital local patients digital images are stored in the local database. Using GRID connection, GPCALMA will allow each node to work on distributed database data as well as local database data. Using its database the GPCALMA tools perform several analysis. A texture analysis, i.e. an automated classification on adipose, dense or glandular texture, can be provided by the system. GPCALMA software also allows classification of pathological features, in particular massive lesions analysis and microcalcification clusters analysis. The performance of the GPCALMA system will be presented in terms of the ROC (Receiver Operating Characteristic) curves. The results of GPCALMA system as "second reader" will also be presented., Comment: 6 pages, Proceedings of the Seventh Mexican Symposium on Medical Physics 2003, Vol. 682/1, pp. 67-72, Mexico City, Mexico

Published
2004
Full Text
View/download PDF

4. The CALMA system: an artificial neural network method for detecting masses and microcalcifications in digitized mammograms

Author

Lauria, A., Palmiero, R., Forni, G., Cerello, P., Golosio, B., Fauci, F., Magro, R., Raso, G., Tangaro, S., and Indovina, P. L.

Subjects
Physics - Medical Physics
Abstract

The CALMA (Computer Assisted Library for MAmmography) project is a five years plan developed in a physics research frame in collaboration between INFN (Istituto Nazionale di Fisica Nucleare) and many Italian hospitals. At present a large database of digitized mammographic images (more than 6000) was collected and a software based on neural network algorithms for the search of suspicious breast lesions was developed. Two tools are available: a microcalcification clusters hunter, based on supervised and unsupervised feedforward neural network, and a massive lesions searcher, based on a hibrid approach. Both the algorithms analyzed preprocessed digitized images by high frequency filters. Clinical tests were performed to evaluate sensitivity and specificity of the system, considering the system as alone and as secon reader. Results show that the system is ready to be implemented by medical industry. The CALMA project, just ended, has its natural development in the GPCALMA (Grid Platform for CALMA) project, where distributed users join common resources (images, tools, statistical analysis)., Comment: 3 pages, 1 figure; to appear in the Proceedings of Frontier Detectors For Frontier Physics, 9th Pisa Meeting on Advanced Detectors, 25-31 May 2003, La Biodola, Isola d'Elba, Italy

Published
2003
Full Text
View/download PDF

5. Diagnostic performance of radiologists with and without different CAD systems for mammography

Author

Lauria, A., Fantacci, M. E., Bottigli, U., Delogu, P., Fauci, F., Golosio, B., Indovina, P. L., Masala, G. L., Oliva, P., Palmiero, R., Raso, G., Stumbo, S., and Tangaro, S.

Subjects
Physics - Medical Physics
Abstract

The purpose of this study is the evaluation of the variation of performance in terms of sensitivity and specificity of two radiologists with different experience in mammography, with and without the assistance of two different CAD systems. The CAD considered are SecondLookTM (CADx Medical Systems, Canada), and CALMA (Computer Assisted Library in MAmmography). The first is a commercial system, the other is the result of a a research project, supported by INFN (Istituto Nazionale di Fisica Nucleare, Italy); their characteristics have been already reported in literature. To compare the results with and without these tools, a dataset composed by 70 images of patients with cancer (biopsy proven) and 120 images of healthy breasts (with a three years follow up) has been collected. All the images have been digitized and analysed by two CAD, then two radiologists with respectively 6 and 2 years of experience in mammography indipendently made their diagnosis without and with, the support of the two CAD systems. In this work sensitivity and specificity variation, the Az area under the ROC curve, are reported. The results show that the use of a CAD allows for a substantial increment in sensitivity and a less pronounced decrement in specificity. The extent of these effects depends on the experience of the readers and is comparable for the two CAD considered., Comment: 6 pages, 3 figures; to appear in the Proceedings of The International Society for Optical Engineering, SPIE Conference, 15-20 February 2003, San Diego, California, USA

Published
2003
Full Text
View/download PDF

6. A Computer Aided Detection system for mammographic images implemented on a GRID infrastructure

Author

Bottigli, U., Cerello, P., Delogu, P., Fantacci, M. E., Fauci, F., Forni, G., Golosio, B., Indovina, P. L., Lauria, A., Torres, E. Lopez, Magro, R., Masala, G. L., Oliva, P., Palmiero, R., Raso, G., Retico, A., Stefanini, A., Stumbo, S., and Tangaro, S.

Subjects
Physics - Medical Physics
Abstract

The use of an automatic system for the analysis of mammographic images has proven to be very useful to radiologists in the investigation of breast cancer, especially in the framework of mammographic-screening programs. A breast neoplasia is often marked by the presence of microcalcification clusters and massive lesions in the mammogram: hence the need for tools able to recognize such lesions at an early stage. In the framework of the GPCALMA (GRID Platform for Computer Assisted Library for MAmmography) project, the co-working of italian physicists and radiologists built a large distributed database of digitized mammographic images (about 5500 images corresponding to 1650 patients) and developed a CAD (Computer Aided Detection) system, able to make an automatic search of massive lesions and microcalcification clusters. The CAD is implemented in the GPCALMA integrated station, which can be used also for digitization, as archive and to perform statistical analyses. Some GPCALMA integrated stations have already been implemented and are currently on clinical trial in some italian hospitals. The emerging GRID technology can been used to connect the GPCALMA integrated stations operating in different medical centers. The GRID approach will support an effective tele- and co-working between radiologists, cancer specialists and epidemiology experts by allowing remote image analysis and interactive online diagnosis., Comment: 5 pages, 5 figures, to appear in the Proceedings of the 13th IEEE-NPSS Real Time Conference 2003, Montreal, Canada, May 18-23 2003

Published
2003

7. GPCALMA, a mammographic CAD in a GRID connection

Author

Bottigli, U., Cerello, P. G., Delogu, P., Fantacci, M. E., Fauci, F., Golosio, B., Lauria, A., Torres, E. Lopez, Magro, R., Masala, G. L., Oliva, P., Palmiero, R., Raso, G., Retico, A., Stumbo, S., and Tangaro, S.

Subjects
Physics - Medical Physics
Abstract

Purpose of this work is the development of an automatic system which could be useful for radiologists in the investigation of breast cancer. A breast neoplasia is often marked by the presence of microcalcifications and massive lesions in the mammogram: hence the need for tools able to recognize such lesions at an early stage. GPCALMA (Grid Platform Computer Assisted Library for MAmmography), a collaboration among italian physicists and radiologists, has built a large distributed database of digitized mammographic images (at this moment about 5500 images corresponding to 1650 patients). This collaboration has developed a CAD (Computer Aided Detection) system which, installed in an integrated station, can also be used for digitization, as archive and to perform statistical analysis. With a GRID configuration it would be possible for the clinicians tele- and co-working in new and innovative groupings ('virtual organisations') and, using the whole database, by the GPCALMA tools several analysis can be performed. Furthermore the GPCALMA system allows to be abreast of the CAD technical progressing into several hospital locations always with remote working by GRID connection. We report in this work the results obtained by the GPCALMA CAD software implemented with a GRID connection., Comment: 6 pages, 4 figures, to appear in CARS 2003 Proceedings, Computer Assisted Radiology and Surgery 17th International Congress and Exhibition, London, June 25-28, 2003

Published
2003

9. 2D Recurrent Neural Networks for Robust Visual Tracking of Non-Rigid Bodies

Author

Masala, G. L., Golosio, B., Tistarelli, M., Grosso, E., Diniz Junqueira Barbosa, Simone, Series editor, Chen, Phoebe, Series editor, Du, Xiaoyong, Series editor, Filipe, Joaquim, Series editor, Kara, Orhun, Series editor, Kotenko, Igor, Series editor, Liu, Ting, Series editor, Sivalingam, Krishna M., Series editor, Washio, Takashi, Series editor, Jayne, Chrisina, editor, and Iliadis, Lazaros, editor

Published
2016
Full Text
View/download PDF

10. The SPARC_LAB Thomson source

Author

Vaccarezza, C., Alesini, D., Anania, M.P., Bacci, A., Biagioni, A., Bisesto, F., Bellaveglia, M., Cardarelli, P., Cardelli, F., Cianchi, A., Chiadroni, E., Croia, M., Curcio, A., Delogu, P., Giovenale, D. Di, Domenico, G. Di, Pirro, G. Di, Drebot, I., Ferrario, M., Filippi, F., Gallo, A., Galletti, M., Gambaccini, M., Giribono, A., Golosio, B., Li, W., Mostacci, A., Oliva, P., Palmer, D., Petrillo, V., Petrarca, M., Pioli, S., Piersanti, L., Pompili, R., Romeo, S., Rossi, A.R., Scifo, J., Serafini, L., Suliman, G., and Villa, F.

Published
2016
Full Text
View/download PDF

14. Performance of the reconstruction algorithms of the FIRST experiment pixel sensors vertex detector

Author

Rescigno, R., Finck, Ch., Juliani, D., Spiriti, E., Baudot, J., Abou-Haidar, Z., Agodi, C., Alvarez, M.A.G., Aumann, T., Battistoni, G., Bocci, A., Böhlen, T.T., Boudard, A., Brunetti, A., Carpinelli, M., Cirrone, G.A.P., Cortes-Giraldo, M.A., Cuttone, G., De Napoli, M., Durante, M., Gallardo, M.I., Golosio, B., Iarocci, E., Iazzi, F., Ickert, G., Introzzi, R., Krimmer, J., Kurz, N., Labalme, M., Leifels, Y., Le Fevre, A., Leray, S., Marchetto, F., Monaco, V., Morone, M.C., Oliva, P., Paoloni, A., Patera, V., Piersanti, L., Pleskac, R., Quesada, J.M., Randazzo, N., Romano, F., Rossi, D., Rousseau, M., Sacchi, R., Sala, P., Sarti, A., Scheidenberger, C., Schuy, C., Sciubba, A., Sfienti, C., Simon, H., Sipala, V., Tropea, S., Vanstalle, M., and Younis, H.

Published
2014
Full Text
View/download PDF

18. The FIRST experiment at GSI

Author

Pleskac, R., Abou-Haidar, Z., Agodi, C., Alvarez, M.A.G., Aumann, T., Battistoni, G., Bocci, A., Böhlen, T.T., Boudard, A., Brunetti, A., Carpinelli, M., Cirrone, G.A.P., Cortes-Giraldo, M.A., Cuttone, G., De Napoli, M., Durante, M., Fernández-García, J.P., Finck, C., Golosio, B., Gallardo, M.I., Iarocci, E., Iazzi, F., Ickert, G., Introzzi, R., Juliani, D., Krimmer, J., Kurz, N., Labalme, M., Leifels, Y., Le Fevre, A., Leray, S., Marchetto, F., Monaco, V., Morone, M.C., Oliva, P., Paoloni, A., Piersanti, L., Quesada, J.M., Raciti, G., Randazzo, N., Romano, F., Rossi, D., Rousseau, M., Sacchi, R., Sala, P., Sarti, A., Scheidenberger, C., Schuy, C., Sciubba, A., Sfienti, C., Simon, H., Sipala, V., Spiriti, E., Stuttge, L., Tropea, S., Younis, H., and Patera, V.

Published
2012
Full Text
View/download PDF

19. Optimization of a customized simultaneous algebraic reconstruction technique algorithm for phase-contrast breast computed tomography

Author

Donato, S, primary, Brombal, L, additional, Arana Peña, L M, additional, Arfelli, F, additional, Contillo, A, additional, Delogu, P, additional, Di Lillo, F, additional, Di Trapani, V, additional, Fanti, V, additional, Longo, R, additional, Oliva, P, additional, Rigon, L, additional, Stori, L, additional, Tromba, G, additional, and Golosio, B, additional

Published
2022
Full Text
View/download PDF

26. Distributed medical images analysis on a Grid infrastructure

Author

Bellotti, R., Cerello, P., Tangaro, S., Bevilacqua, V., Castellano, M., Mastronardi, G., De Carlo, F., Bagnasco, S., Bottigli, U., Cataldo, R., Catanzariti, E., Cheran, S.C., Delogu, P., De Mitri, I., De Nunzio, G., Fantacci, M.E., Fauci, F., Gargano, G., Golosio, B., Indovina, P.L., Lauria, A., Lopez Torres, E., Magro, R., Masala, G.L., Massafra, R., Oliva, P., Preite Martinez, A., Quarta, M., Raso, G., Retico, A., Sitta, M., Stumbo, S., Tata, A., Squarcia, S., Schenone, A., Molinari, E., and Canesi, B.

Published
2007
Full Text
View/download PDF

34. Advancements towards the implementation of clinical phase-contrast breast computed tomography at Elettra

Author

Longo, R., Arfelli, F., Bonazza, D., Bottigli, U., Brombal, L., Cova, M.A., Delogu, P., Lillo, F. Di, Trapani, V., Donato, S. di, Dreossi, D., Fanti, V., Fedon, C., Golosio, B., Mettivier, G., Oliva, P., Pacile, S., Sarno, A., Rigon, L., Russo, P., Taibi, A., Tonutti, M., Zanconati, F., Tromba, G., Longo, R., Arfelli, F., Bonazza, D., Bottigli, U., Brombal, L., Cova, M.A., Delogu, P., Lillo, F. Di, Trapani, V., Donato, S. di, Dreossi, D., Fanti, V., Fedon, C., Golosio, B., Mettivier, G., Oliva, P., Pacile, S., Sarno, A., Rigon, L., Russo, P., Taibi, A., Tonutti, M., Zanconati, F., and Tromba, G.

Abstract

Item does not contain fulltext, Breast computed tomography (BCT) is an emerging application of X-ray tomography in radiological practice. A few clinical prototypes are under evaluation in hospitals and new systems are under development aiming at improving spatial and contrast resolution and reducing delivered dose. At the same time, synchrotron-radiation phase-contrast mammography has been demonstrated to offer substantial advantages when compared with conventional mammography. At Elettra, the Italian synchrotron radiation facility, a clinical program of phase-contrast BCT based on the free-space propagation approach is under development. In this paper, full-volume breast samples imaged with a beam energy of 32 keV delivering a mean glandular dose of 5 mGy are presented. The whole acquisition setup mimics a clinical study in order to evaluate its feasibility in terms of acquisition time and image quality. Acquisitions are performed using a high-resolution CdTe photon-counting detector and the projection data are processed via a phase-retrieval algorithm. Tomographic reconstructions are compared with conventional mammographic images acquired prior to surgery and with histologic examinations. Results indicate that BCT with monochromatic beam and free-space propagation phase-contrast imaging provide relevant three-dimensional insights of breast morphology at clinically acceptable doses and scan times.

Published
2019

35. Measurement of fragmentation cross sections of C12 ions on a thin gold target with the FIRST apparatus

Author

TOPPI, RITA, Abou Haidar, Z., AGODI, MARIA CARMELA, Alvarez, M. A. G., Aumann, T., Balestra, F., Battistoni, G., Bocci, A., Böhlen, T. T., Boudard, A., Brunetti, A., Carpinelli, M., Cirio, R., Cirrone, G. A. P., Cortes Giraldo, M. A., Cuttone, G., De Napoli, M., DURANTE, MARCO, Fernández García, J. P., Finck, C.h., Golosio, B., Iarocci, E., Iazzi, F., Ickert, G., Introzzi, R., Juliani, D., Krimmer, J., Kummali, A. H., Kurz, N., Labalme, M., Leifels, Y., Le Fèvre, A., Leray, S., Marchetto, F., Monaco, V., Morone, M. C., Nicolosi, D., Oliva, P., Paoloni, A., Piersanti, L., Pleskac, R., Randazzo, N., Rescigno, R., Romano, F., Rossi, D., Rosso, V., ROUSSEAU, FRANCOIS, Sacchi, R., Sala, P., Salvador, S., SARTI, GIULIO CESARE, Scheidenberger, C., Schuy, C., Sciubba, A., Sfienti, C., Simon, H., Sipala, V., Spiriti, E., TROPEA, GIUSEPPE, Vanstalle, M., Younis, H., PATERA, VINCENZO, Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Institut Pluridisciplinaire Hubert Curien (IPHC), Université de Strasbourg (UNISTRA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Institut de Physique Nucléaire de Lyon (IPNL), Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Laboratoire de physique corpusculaire de Caen (LPCC), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), First, Institut de Recherches sur les lois Fondamentales de l'Univers ( IRFU ), Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Université Paris-Saclay, Institut Pluridisciplinaire Hubert Curien ( IPHC ), Université de Strasbourg ( UNISTRA ) -Centre National de la Recherche Scientifique ( CNRS ), Institut de Physique Nucléaire de Lyon ( IPNL ), Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS ( IN2P3 ) -Centre National de la Recherche Scientifique ( CNRS ), Laboratoire de physique corpusculaire de Caen ( LPCC ), Université de Caen Normandie ( UNICAEN ), Normandie Université ( NU ) -Normandie Université ( NU ) -Ecole Nationale Supérieure d'Ingénieurs de Caen ( ENSICAEN ), Normandie Université ( NU ) -Institut National de Physique Nucléaire et de Physique des Particules du CNRS ( IN2P3 ) -Centre National de la Recherche Scientifique ( CNRS ), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Normandie Université (NU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Toppi, Rita, Abou Haidar, Z., Agodi, MARIA CARMELA, Alvarez, M. A. G., Aumann, T., Balestra, F., Battistoni, G., Bocci, A., Böhlen, T. T., Boudard, A., Brunetti, A., Carpinelli, M., Cirio, R., Cirrone, G. A. P., Cortes Giraldo, M. A., Cuttone, G., De Napoli, M., Durante, Marco, Fernández García, J. P., Finck, C. h., Golosio, B., Iarocci, E., Iazzi, F., Ickert, G., Introzzi, R., Juliani, D., Krimmer, J., Kummali, A. H., Kurz, N., Labalme, M., Leifels, Y., Le Fèvre, A., Leray, S., Marchetto, F., Monaco, V., Morone, M. C., Nicolosi, D., Oliva, P., Paoloni, A., Piersanti, L., Pleskac, R., Randazzo, N., Rescigno, R., Romano, F., Rossi, D., Rosso, V., Rousseau, Francoi, Sacchi, R., Sala, P., Salvador, S., Sarti, GIULIO CESARE, Scheidenberger, C., Schuy, C., Sciubba, A., Sfienti, C., Simon, H., Sipala, V., Spiriti, E., Tropea, Giuseppe, Vanstalle, M., Younis, H., and Patera, Vincenzo

Subjects
[ PHYS.NEXP ] Physics [physics]/Nuclear Experiment [nucl-ex], [PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex], Nuclear Experiment
Abstract

International audience; A detailed knowledge of the light ions interaction processes with matter is of great interest in basic and applied physics. As an example, particle therapy and space radioprotection require highly accurate fragmentation cross-section measurements to develop shielding materials and estimate acute and late health risks for manned missions in space and for treatment planning in particle therapy. The Fragmentation of Ions Relevant for Space and Therapy experiment at the Helmholtz Center for Heavy Ion research (GSI) was designed and built by an international collaboration from France, Germany, Italy, and Spain for studying the collisions of a C12 ion beam with thin targets. The collaboration's main purpose is to provide the double-differential cross-section measurement of carbon-ion fragmentation at energies that are relevant for both tumor therapy and space radiation protection applications. Fragmentation cross sections of light ions impinging on a wide range of thin targets are also essential to validate the nuclear models implemented in MC simulations that, in such an energy range, fail to reproduce the data with the required accuracy. This paper presents the single differential carbon-ion fragmentation cross sections on a thin gold target, measured as a function of the fragment angle and kinetic energy in the forward angular region (θ≲6∘), aiming to provide useful data for the benchmarking of the simulation softwares used in light ions fragmentation applications. The C12 ions used in the measurement were accelerated at the energy of 400 MeV/nucleon by the SIS (heavy ion synchrotron) GSI facility.

Published
2016
Full Text
View/download PDF

39. ANNABELL, a cognitive system able to learn different languages

Author

Jorgji, J, Golosio, B, Cangelosi, A, and Masala, G

Abstract

© 2018 The authors and IOS Press. All rights reserved. ANNABELL is a cognitive system entirely based on a large-scale neural architecture capable of learning to communicate through natural language starting from a tabula rasa condition. In order to shed light on the level of cognitive development required for language acquisition, in this work the model is used to study the acquisition of a new language, namely Albanian, in addition to English. The aim is to evaluate in a completely different and more complex language the ability of the model to acquire new information through several examples introduced in the new language and to process the acquired information, answering questions that require the use of different language patterns. The results show that the system is capable of learning cumulatively in either language and to develop a broad range of language processing functionalities in both languages.

Published
2018

40. Measurement of fragmentation cross sections of C 12 ions on a thin gold target with the FIRST apparatus

Author

Toppi, Marco, Abou Haidar, Z., Agodi, C., Alvarez, M. A. G., Aumann, T., Balestra, F., Battistoni, G., Bocci, A., Böhlen, T. T., Boudard, A., Brunetti, A., Carpinelli, M., Cirio, R., Cirrone, G. A. P., Cortes Giraldo, M. A., Cuttone, G., De Napoli, M., Durante, M., Fernández García, J. P., Finck, C. h., Golosio, B., Iarocci, Enzo, Iazzi, F., Ickert, G., Introzzi, R., Juliani, D., Krimmer, J., Kummali, A. H., Kurz, N., Labalme, M., Leifels, Y., Le Fèvre, A., Leray, S., Marchetto, F., Monaco, V., Morone, M. C., Nicolosi, D., Oliva, P., Paoloni, A., Piersanti, Luca, Pleskac, R., Randazzo, N., Rescigno, R., Romano, F., Rossi, D., Rosso, V., Rousseau, M., Sacchi, R., Sala, P., Salvador, S., Sarti, Alessio, Scheidenberger, C., Schuy, C., Sciubba, Adalberto, Sfienti, C., Simon, H., Sipala, V., Spiriti, E., Tropea, S., Vanstalle, M., Younis, H., Patera, Vincenzo, Toppi, M, Abou Haidar, Z, Agodi, C, Alvarez, M, Aumann, T, Balestra, F, Battistoni, G, Bocci, A, Böhlen, T, Boudard, A, Brunetti, A, Carpinelli, M, Cirio, R, Cirrone, G, Cortes Giraldo, M, Cuttone, G, De Napoli, M, Durante, M, Fernández García, J, Finck, C, Golosio, B, Iarocci, E, Iazzi, F, Ickert, G, Introzzi, R, Juliani, D, Krimmer, J, Kummali, A, Kurz, N, Labalme, M, Leifels, Y, Le Fèvre, A, Leray, S, Marchetto, F, Monaco, V, Morone, M, Nicolosi, D, Oliva, P, Paoloni, A, Piersanti, L, Pleskac, R, Randazzo, N, Rescigno, R, Romano, F, Rossi, D, Rosso, V, Rousseau, M, Sacchi, R, Sala, P, Salvador, S, Sarti, A, Scheidenberger, C, Schuy, C, Sciubba, A, Sfienti, C, Simon, H, Sipala, V, Spiriti, E, Tropea, S, Vanstalle, M, Younis, H, and Patera, V

Subjects
Nuclear and High Energy Physics, VERTEX DETECTOR, RADIATION PROTECTION, Settore FIS/07 - Fisica Applicata(Beni Culturali, Ambientali, Biol.e Medicin)
Abstract

A detailed knowledge of the light ions interaction processes with matter is of great interest in basic and applied physics. As an example, particle therapy and space radioprotection require highly accurate fragmentation cross-section measurements to develop shielding materials and estimate acute and late health risks for manned missions in space and for treatment planning in particle therapy. The Fragmentation of Ions Relevant for Space and Therapy experiment at the Helmholtz Center for Heavy Ion research (GSI) was designed and built by an international collaboration from France, Germany, Italy, and Spain for studying the collisions of a C12 ion beam with thin targets. The collaboration's main purpose is to provide the double-differential cross-section measurement of carbon-ion fragmentation at energies that are relevant for both tumor therapy and space radiation protection applications. Fragmentation cross sections of light ions impinging on a wide range of thin targets are also essential to validate the nuclear models implemented in MC simulations that, in such an energy range, fail to reproduce the data with the required accuracy. This paper presents the single differential carbon-ion fragmentation cross sections on a thin gold target, measured as a function of the fragment angle and kinetic energy in the forward angular region (θ), aiming to provide useful data for the benchmarking of the simulation softwares used in light ions fragmentation applications. The C12 ions used in the measurement were accelerated at the energy of 400 MeV/nucleon by the SIS (heavy ion synchrotron) GSI facility.

Published
2016

42. 2D recurrent neural networks: a high-performance tool for robust visual tracking in dynamic scenes

Author

Masala, G, Casu, F, Golosio, B, Grosso, E, Masala, G, Casu, F, Golosio, B, and Grosso, E

Abstract

© 2017, The Natural Computing Applications Forum. This paper proposes a novel method for robust visual tracking of arbitrary objects, based on the combination of image-based prediction and position refinement by weighted correlation. The effectiveness of the proposed approach is demonstrated on a challenging set of dynamic video sequences, extracted from the final of triple jump at the London 2012 Summer Olympics. A comparison is made against five baseline tracking systems. The novel system shows remarkable superior performances with respect to the other methods, in all considered cases characterized by changing background, and a large variety of articulated motions. The novel architecture, from here onward named 2D Recurrent Neural Network (2D-RNN), is derived from the well-known recurrent neural network model and adopts nearest neighborhood connections between the input and context layers in order to store the temporal information content of the video. Starting from the selection of the object of interest in the first frame, neural computation is applied to predict the position of the target in each video frame. Normalized cross-correlation is then applied to refine the predicted target position. 2D-RNN ensures limited complexity, great adaptability and a very fast learning time. At the same time, it shows on the considered dataset fast execution times and very good accuracy, making this approach an excellent candidate for automated analysis of complex video streams.

Published
2018

43. Performance of the reconstruction algorithms of the FIRST experiment pixel sensors vertex detector

Author

Rescigno, R, Finck, C, Juliani, D, Spiriti, E, Baudot, J, Abou Haidar, Z, Agodi, C, Alvarez, M, Aumann, T, Battistoni, G, Bocci, A, Boehlen, T, Boudard, A, Brunetti, A, Carpinelli, M, Cirrone, G, Cortes Giraldo, M, Cuttone, G, De Napoli, M, Durante, M, Gallardo, M, Golosio, B, Iarocci, E, Iazzi, F, Ickert, G, Introzzi, R, Krimmer, J, Kurz, N, Labalme, M, Leifels, Y, Le Fevre, A, Leray, S, Marchetto, F, Monaco, V, Morone, M, Oliva, P, Paoloni, A, Patera, V, Piersanti, L, Pleskac, R, Quesada, J, Randazzo, N, Romano, F, Rossi, D, Rousseau, M, Sacchi, R, Sala, P, Sarti, A, Scheidenberger, C, Schuy, C, Sciubba, A, Sfienti, C, Simon, H, Sipala, V, Tropea, S, Vanstalle, M, Younis, H, Rescigno R, Finck C, Juliani D, Spiriti E, Baudot J, Abou Haidar Z, Agodi C, Alvarez M. A. G, Aumann T, Battistoni G, Bocci A, Boehlen T. T, Boudard A, BRUNETTI, Antonio, CARPINELLI, Massimo, Cirrone G. A. P, Cortes Giraldo M. A, Cuttone G, De Napoli M, Durante M, Gallardo M. I, Golosio B, Iarocci E, Iazzi F, Ickert G, Introzzi R, Krimmer J, Kurz N, Labalme M, Leifels Y, Le Fevre A, Leray S, Marchetto F, Monaco V, Morone M. C, OLIVA, Piernicola, Paoloni A, Patera V, Piersanti L, Pleskac R, Quesada J. M, Randazzo N, Romano F, Rossi D, Rousseau M, Sacchi R, Sala P, Sarti A, Scheidenberger C, Schuy C, Sciubba A, Sfienti C, Simon H, SIPALA, Valeria, Tropea S, Vanstalle M, Younis H., Rescigno, R, Finck, C, Juliani, D, Spiriti, E, Baudot, J, Abou Haidar, Z, Agodi, C, Alvarez, M, Aumann, T, Battistoni, G, Bocci, A, Boehlen, T, Boudard, A, Brunetti, A, Carpinelli, M, Cirrone, G, Cortes Giraldo, M, Cuttone, G, De Napoli, M, Durante, M, Gallardo, M, Golosio, B, Iarocci, E, Iazzi, F, Ickert, G, Introzzi, R, Krimmer, J, Kurz, N, Labalme, M, Leifels, Y, Le Fevre, A, Leray, S, Marchetto, F, Monaco, V, Morone, M, Oliva, P, Paoloni, A, Patera, V, Piersanti, L, Pleskac, R, Quesada, J, Randazzo, N, Romano, F, Rossi, D, Rousseau, M, Sacchi, R, Sala, P, Sarti, A, Scheidenberger, C, Schuy, C, Sciubba, A, Sfienti, C, Simon, H, Sipala, V, Tropea, S, Vanstalle, M, Younis, H, Rescigno R, Finck C, Juliani D, Spiriti E, Baudot J, Abou Haidar Z, Agodi C, Alvarez M. A. G, Aumann T, Battistoni G, Bocci A, Boehlen T. T, Boudard A, BRUNETTI, Antonio, CARPINELLI, Massimo, Cirrone G. A. P, Cortes Giraldo M. A, Cuttone G, De Napoli M, Durante M, Gallardo M. I, Golosio B, Iarocci E, Iazzi F, Ickert G, Introzzi R, Krimmer J, Kurz N, Labalme M, Leifels Y, Le Fevre A, Leray S, Marchetto F, Monaco V, Morone M. C, OLIVA, Piernicola, Paoloni A, Patera V, Piersanti L, Pleskac R, Quesada J. M, Randazzo N, Romano F, Rossi D, Rousseau M, Sacchi R, Sala P, Sarti A, Scheidenberger C, Schuy C, Sciubba A, Sfienti C, Simon H, SIPALA, Valeria, Tropea S, Vanstalle M, and Younis H.

Abstract

Hadrontherapy treatments use charged particles (e.g. protons and carbon ions) to treat tumors. During a therapeutic treatment with carbon ions, the beam undergoes nuclear fragmentation processes giving rise to significant yields of secondary charged particles. An accurate prediction of these production rates is necessary to estimate precisely the dose deposited into the tumours and the surrounding healthy tissues. Nowadays, a limited set of double differential carbon fragmentation cross-section is available. Experimental data are necessary to benchmark Monte Carlo simulations for their use in hadrontherapy. The purpose of the FIRST experiment is to study nuclear fragmentation processes of ions with kinetic energy in the range from 100 to 1000 MeV/u. Tracks are reconstructed using information from a pixel silicon detector based on the CMOS technology. The performances achieved using this device for hadrontherapy purpose are discussed. For each reconstruction step (clustering, tracking and vertexing), different methods are implemented. The algorithm performances and the accuracy on reconstructed observables are evaluated on the basis of simulated and experimental data.

Published
2014

44. Distributed medical images analysis on a Grid infrastructure

Author

Bellotti, R, Cerello, P, Tangaro, S, Bevilacqua, V, Castellano, M, Mastronardi, G, De Carlo, F, Bagnasco, S, Bottigli, U, Cataldo, R, Catanzariti, E, Cheran, Sc, Delogu, Pasquale, De Mitri, I, De Nunzio, G, Fantacci, MARIA EVELINA, Fauci, F, Gargano, G, Golosio, B, Indovina, Pl, Lauria, A, Lopez Torres, E, Magro, R, Masala, Gl, Massafra, R, Oliva, P, Martinez, Ap, Quarta, M, Raso, G, Retico, A, Sitta, M, Stumbo, S, Tata, A, Squarcia, S, Schenone, A, Molinari, E, Canesi, B., Bellotti, R., Cerello, P., Tangaro, S., Bevilacquan, V., Castellano, M., Mastronardi, G., DE CARLO, F., Bagnasco, S., Bottigli, U., Cataldo, R., Catanzariti, Ezio, Cheran, S. C., Delogu, P., DE MITRI, I., DE NUNZIO, G., Fantacci, M. E., Fauci, F., Gargano, G., Golosio, B., Indovina, P. L., Lauria, A., LOPEZ TORRES, E., Magro, R., Masala, G. L., Massafra, R., Oliva, P., PREITE MARTINEZ, A., Quarta, M., Raso, G., Retico, A., Sitta, M., Stumbo, S., Tata, A., Squarcia, S., Schenone, A., BELLOTTI R, CERELLO P, TANGARO S, BEVILACQUA V, CASTELLANO M, MASTRONARDI G, DE CARLO F, BAGNASCO S, BOTTIGLI U, CATALDO R, CATANZARITI E, CHERAN SC, DELOGU P, DE MITRI I, DE NUNZIO G, FANTACCI ME, FAUCI F, GARGANO G, GOLOSIO B, INDOVINA PL, LAURIA A, LOPEZ TORRES E, MAGRO R, MASALA GL, MASSAFRA R, OLIVA P, PREITE MARTINEZ A, QUARTA M, RASO G, RETICO A, SITTA M, STUMBO S, TATA A, SQUARCIA S, SCHENONE A, MOLINARI E, CANESI B, R., Bellotti, P., Cerello, S., Tangaro, V., Bevilacqua, M., Castellano, G., Mastronardi, F., DE CARLO, S., Bagnasco, U., Bottigli, Cataldo, Rosella, E., Catanzariti, S. C., Cheran, P., Delogu, DE MITRI, Ivan, DE NUNZIO, Giorgio, M. E., Fantacci, F., Fauci, G., Gargano, B., Golosio, P. L., Indovina, A., Lauria, E., LOPEZ TORRES, R., Magro, G. L., Masala, R., Massafra, P., Oliva, A., PREITE MARTINEZ, Quarta, Maurizio, G., Raso, A., Retico, M., Sitta, S., Stumbo, A., Tata, S., Squarcia, A., Schenone, E., Molinari, and B., Canesi

Subjects
GRID, Virtual Organization, Medical Applications, Computer Networks and Communications, Computer science, Virtual organization, mammography, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, computer.software_genre, virtual organization, CAD, medical applications, Software, Computer aided diagnosi, medicine, Mammography, Computer vision, Grid, Lung tumor, Distributed database, medicine.diagnostic_test, business.industry, Digital imaging, Hardware and Architecture, Image analysi, Artificial intelligence, Data mining, Alzheimer disease, business, computer
Abstract

In this paper medical applications on a Grid infrastructure, the MAGIC-5 Project, are presented and discussed. MAGIC-5 aims at developing Computer Aided Detection (CADe) software for the analysis of medical images on distributed databases by means of GRID Services. The use of automated systems for analyzing medical images improves radiologists’ performance; in addition, it could be of paramount importance in screening programs, due to the huge amount of data to check and the cost of related manpower. The need for acquiring and analyzing data stored in different locations requires the use of Grid Services for the management of distributed computing resources and data. Grid technologies allow remote image analysis and interactive online diagnosis, with a relevant reduction of the delays presently associated with the diagnosis in the screening programs. The MAGIC-5 project develops algorithms for the analysis of mammographies for breast cancer detection, Computed- Tomography (CT) images for lung cancer detection and Positron Emission Tomography (PET) images for the early diagnosis of Alzheimer Disease (AD). A Virtual Organization (VO) has been deployed, so that authorized users can share data and resources and implement the following use cases: screening, tele-training and tele-diagnosis for mammograms and lung CT scans, statistical diagnosis by comparison of candidates to a distributed data-set of negative PET scans for the diagnosis of the AD. A small-scale prototype of the required Grid functionality was already implemented for the analysis of digitized mammograms.

Published
2006

45. Experiment FIRST: Fragmentation of 12C beam at 400 MeV/u

Author

Introzzi, R, Abou Haidar, Z, Agodi, C, Alvarez, M, Aumann, T, Balestra, F, Battistoni, G, Bocci, A, Böhlen, T, Boudard, A, Brunetti, A, Carpinelli, M, Cirrone, G, Cortés Giraldo, M, Cuttone, G, De Napoli, M, Durante, M, Fernández Garcia, J, Finck, C, Golosio, B, Iarocci, E, Iazzi, F, Ickert, G, Juliani, D, Krimmer, J, Kummali, A, Kurz, N, Labalme, M, Lavagno, A, Leifels, Y, Le Févre, A, Leray, S, Liu, B, Marchetto, F, Monaco, V, Morone, M, Nicolosi, D, Oliva, P, Paoloni, A, Patera, V, Piersanti, L, Pleskac, R, Randazzo, N, Romano, F, Rossi, D, Rosso, V, Rousseau, M, Sacchi, R, Sala, P, Samuel, S, Sarti, A, Scheidenberger, C, Schuy, C, Sciubba, A, Sfienti, C, Simon, H, Sipala, V, Spiriti, E, Stuttge, L, Toppi, M, Tropea, S, Younis, H, Introzzi, R., Abou Haidar, Z., Agodi, C., Alvarez, M. A. G., Aumann, T., Balestra, F., Battistoni, G., Bocci, A., Böhlen, T. T., Boudard, A., BRUNETTI, Antonio, CARPINELLI, Massimo, Cirrone, G. A. P., Cortés Giraldo, M. A., Cuttone, G., De Napoli, M., Durante, M., Fernández Garcia, J. P., Finck, C., Golosio, B., Iarocci, E., Iazzi, F., Ickert, G., Juliani, D., Krimmer, J., Kummali, A. H., Kurz, N., Labalme, M., Lavagno, A., Leifels, Y., Le Févre, A., Leray, S., Liu, B., Marchetto, F., Monaco, V., Morone, M. C., Nicolosi, D., OLIVA, Piernicola, Paoloni, A., Patera, V., Piersanti, L., Pleskac, R., Randazzo, N., Romano, F., Rossi, D., Rosso, V., Rousseau, M., Sacchi, R., Sala, P., Samuel, S., Sarti, A., Scheidenberger, C., Schuy, C., Sciubba, A., Sfienti, C., Simon, H., SIPALA, Valeria, Spiriti, E., Stuttge, L., Toppi, M., Tropea, S., Younis, H., Introzzi, R, Abou Haidar, Z, Agodi, C, Alvarez, M, Aumann, T, Balestra, F, Battistoni, G, Bocci, A, Böhlen, T, Boudard, A, Brunetti, A, Carpinelli, M, Cirrone, G, Cortés Giraldo, M, Cuttone, G, De Napoli, M, Durante, M, Fernández Garcia, J, Finck, C, Golosio, B, Iarocci, E, Iazzi, F, Ickert, G, Juliani, D, Krimmer, J, Kummali, A, Kurz, N, Labalme, M, Lavagno, A, Leifels, Y, Le Févre, A, Leray, S, Liu, B, Marchetto, F, Monaco, V, Morone, M, Nicolosi, D, Oliva, P, Paoloni, A, Patera, V, Piersanti, L, Pleskac, R, Randazzo, N, Romano, F, Rossi, D, Rosso, V, Rousseau, M, Sacchi, R, Sala, P, Samuel, S, Sarti, A, Scheidenberger, C, Schuy, C, Sciubba, A, Sfienti, C, Simon, H, Sipala, V, Spiriti, E, Stuttge, L, Toppi, M, Tropea, S, Younis, H, Introzzi, R., Abou Haidar, Z., Agodi, C., Alvarez, M. A. G., Aumann, T., Balestra, F., Battistoni, G., Bocci, A., Böhlen, T. T., Boudard, A., BRUNETTI, Antonio, CARPINELLI, Massimo, Cirrone, G. A. P., Cortés Giraldo, M. A., Cuttone, G., De Napoli, M., Durante, M., Fernández Garcia, J. P., Finck, C., Golosio, B., Iarocci, E., Iazzi, F., Ickert, G., Juliani, D., Krimmer, J., Kummali, A. H., Kurz, N., Labalme, M., Lavagno, A., Leifels, Y., Le Févre, A., Leray, S., Liu, B., Marchetto, F., Monaco, V., Morone, M. C., Nicolosi, D., OLIVA, Piernicola, Paoloni, A., Patera, V., Piersanti, L., Pleskac, R., Randazzo, N., Romano, F., Rossi, D., Rosso, V., Rousseau, M., Sacchi, R., Sala, P., Samuel, S., Sarti, A., Scheidenberger, C., Schuy, C., Sciubba, A., Sfienti, C., Simon, H., SIPALA, Valeria, Spiriti, E., Stuttge, L., Toppi, M., Tropea, S., and Younis, H.

Abstract

The knowledge about fragmentation processes in ion-ion interactions is fundamental in hadrontherapy and radiation protection in space missions. Hadrontherapy, based on 12C, features many advantages with respect to conventional radiation therapy with photons due to the possibility to shape the dose delivery region in tissues but side effects of the projectile fragmentation in healthy tissues are not negligible. NASA recently pointed out that measurements for some light ions and kinetic energies are missing in nuclear fragmentation databases. FIRST experiment aims to measure the fragmentation doubledifferential cross section of 12C in the energy range 100-1000 MeV/u on several elements, constituents of organic tissues and electronic devices, in order to fill some of the mentioned lack of information on light ions. A first set of data has been taken in 2011 at GSI (Darmstadt), using 12C beam at 400 MeV/u on C and Au targets. About 3·107 events with C target and 5 × 106 with Au target were recorded. Together with these data other sets of runs have been collected to calibrate the forward part of the whole experimental setup, the ToF-Wall. The calibration procedure and the detector performances, which fit the experiment requirements for what concerns efficiency, resolution and stability, will be illustrated. Moreover, some preliminary results concerning the 12C-12C elastic scattering, in agreement with the Rutherford model, will be presented.

Published
2013

47. A Framework for Iterative Reconstruction in Phase-Contrast Computed Tomography Dedicated to the Breast

Author

Sarno, A., primary, Golosio, B., additional, Russo, P., additional, Arfelli, F., additional, Bellazzini, R., additional, Brez, A., additional, Brun, F., additional, Delogu, P., additional, Di Lillo, F., additional, Dreossi, D., additional, Fedon, C., additional, Longo, R., additional, Mettivier, G., additional, Oliva, P., additional, Rigon, L., additional, Spandre, G., additional, and Tromba, G., additional

Published
2017
Full Text
View/download PDF

49. Compact x-ray sources for mammographic applications: Monte Carlo simulations of image quality

Author

Oliva, P, Golosio, B, Stumbo, S, Bravin, A, Tomassini, P, Oliva P, Golosio B, Stumbo S, Bravin A, Tomassini P, Oliva, P, Golosio, B, Stumbo, S, Bravin, A, Tomassini, P, Oliva P, Golosio B, Stumbo S, Bravin A, and Tomassini P

Abstract

Thomson scattering x-ray sources can provide spectral distributions that are ideally suited for mammography with sufficient fluence rates. In this article, the authors investigate the effects of different spectral distributions on the image quality in simulated images of a breast mammographic phantom containing details of different compositions and thicknesses. They simulated monochromatic, quasimonochromatic, and polychromatic x-ray sources in order to define the energy for maximum figure of merit (signal-difference-to-noise ratio squared/mean glandular dose), the effect of an energy spread, and the effect of the presence of higher-order harmonics. The advantages of these sources with respect to conventional polychromatic sources as a function of phantom and detail thickness were also investigated. The results show that the energy for the figure of merit peak is between 16 and 27.4 keV, depending on the phantom thickness and detail composition and thickness. An energy spread of about 1 keV standard deviation, easily achievable with compact x-ray sources, does not appreciably affect the image quality.

Published
2009

50. Compton energy-absorption scattering cross-sections for H, C, N, O, P, Ca and assessment of Doppler broadening

Author

Rao, D. V., Cesareo, R., Brunetti, A., Golosio, B., and Gigante, Giovanni Ettore

Subjects
Physics, Photon, Energy absorption, Scattering, Astrophysics::High Energy Astrophysical Phenomena, Shell (structure), Compton scattering, Optical physics, photons, Plasma, Atomic physics, Atomic and Molecular Physics, and Optics, Doppler broadening
Abstract

Total Compton, individual shell and Compton energy-absorption scattering cross-sections are evaluated in the energy region 0.005 to 10 MeV for H, C, N, O, P and Ca. Compton energy absorption cross-sections deviate numerically with available values. The cause of the numerical discrepancies are not fully understood but can be attributed to Doppler broadening of the Compton scattered photons through a given angle.

Published
2003
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results