Advanced approach for PET breast cancer segmentation based on FAMIS methodology

摘要

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.