Title :
PET-SORTEO: a platform for simulating realistic PET studies
Author :
Reilhac, Anthonin ; Batan, Gael ; Michel, Christian ; Costes, Nicolas ; Evans, Alan C.
Author_Institution :
Montreal Neurological Inst. & Hosp., McConnell Brain Imaging Centre, Montreal, Que.
Abstract :
We present here the features and validation results of a Monte Carlo-based PET simulation platform designed to address the increasing need of simulated studies. The simulation tool, named PET-SORTEO, includes i) the generation of the raw projections in accordance with both the numerical phantom description as well as with the scanner geometry and physical characteristics, and ii) the correction and reconstruction of the raw data. Validation results show that the platform reliably reproduces the image formation processes and includes correctly the sources of noise and biases
Keywords :
Monte Carlo methods; image reconstruction; image scanners; medical image processing; phantoms; positron emission tomography; Monte Carlo-based PET simulation platform; PET-SORTEO; bias sources; image formation processes; noise sources; phantom; raw data correction; raw data reconstruction; scanner geometry; Character generation; Computational modeling; Data analysis; Geometry; Image reconstruction; Imaging phantoms; Interference; Positron emission tomography; Reconstruction algorithms; Solid modeling;
Conference_Titel :
Nuclear Science Symposium Conference Record, 2004 IEEE
Conference_Location :
Rome
Print_ISBN :
0-7803-8700-7
Electronic_ISBN :
1082-3654
DOI :
10.1109/NSSMIC.2004.1466784
