Title
Advanced approach for PET breast cancer segmentation based on FAMIS methodology
Abstract
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.
Year
DOI
Venue
2014
10.1109/ATSIP.2014.6834610
ATSIP
Keywords
Field
DocType
cancer,image segmentation,image sequences,mammography,medical image processing,positron emission tomography,radiation therapy,tumours,18f-fdg,18f-fluorodesoxyglucose,famis methodology,pet breast cancer segmentation,pet images,breast cancer characterization,breast cancer diagnostics,breast cancer therapy,breast cancer vascularization,clinical oncology,dynamic image sequence analysis,dynamic nuclear medical images,factor analysis of medical image sequences,homogeneous tissue distributions,physiological curves,positron emission tomography image modality,radiotracer,region of interest,tumor glucose metabolism evaluation,breast cancer diagnostic,famis approach,roi segmentation,dynamic pet images,physiology,principal component analysis
Pattern recognition,Breast cancer,Segmentation,Homogeneous,Computer science,Clinical Oncology,Artificial intelligence,Positron emission tomography,Medical physics,Region of interest,Cancer
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
8
Name
Order
Citations
PageRank
ines ketata100.34
lamia sallemi200.34
mohamed ben slima333.55
Ben Hamida, A.484.65
Frederic Morain-Nicolier5134.43
Ruan Su655953.00
Alexandre Cochet753.27
Khalil Chtourou8132.67