Advanced Approach for PET Breast cancer Segmentation based on FAMIS Methodology
| Affiliation auteurs | !!!! Error affiliation !!!! |
| Titre | Advanced Approach for PET Breast cancer Segmentation based on FAMIS Methodology |
| Type de publication | Conference Paper |
| Year of Publication | 2014 |
| Auteurs | Ketata I, Sallemi L, Ben Slima M, Ben Hamida A, Morain-Nicolier F, Ruan S, Cochet A, Chtourou K |
| Conference Name | 2014 1ST INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGIES FOR SIGNAL AND IMAGE PROCESSING (ATSIP 2014) |
| Publisher | IEEE Tunisia Sect; CISEN Comp; CHO Co; Comp Syst; Masmoudi Pastery; Triki Ennaoura; Novartis; Univ Sfax; Natl Engn Sch Sfax, Elect Engn Dept; ENIT; Telecom Paris; Telecom SudParid; Polytechnique Montreal; SECS; Univ Paris Sud; N Amer Private Univ, Int Ins |
| Conference Location | 345 E 47TH ST, NEW YORK, NY 10017 USA |
| ISBN Number | 978-1-4799-4888-8 |
| Mots-clés | Breast cancer diagnostic, dynamic PET images, FAMIS approach, ROI segmentation |
| Résumé | Factor Analysis of Medical Image Sequences (FAMIS) is recognized as one pioneer successfully used approach for analyzing especially dynamic images' sequence for estimating kinetics and associated compartments having a physiological meaning. Some studies tried to extend the use of this approach to analyze Positron Emission Tomography (PET) image modality for dynamic sequences. PET images with 18F-FluoroDesoxyGlucose (18F-FDG) is the gold standard for in vivo, evaluation of tumor glucose metabolism and is widely used in clinical oncology. The results of FAMIS on a Region Of Interest (ROI) are physiological curves showing the evolution during time of radiotracer within homogeneous tissues distributions. This functional analysis of dynamic nuclear medical images is considered to be very efficient for cancer diagnostics. In fact, it could be applied for cancer characterization, vascularization as well as possible evaluation of response to therapy. |