A Monte Carlo Simulation study of Most Likely Position (MLP) and Position Vector (PV) methods in TOFPET
Abstract
The results of Monte Carlo Simulation (MCS) studies of Most likely position (MLP) and position vector (PV) methods in TOFPET system are presented. MCS based on GEANT3.21 is carried out where the geometry of a real TOFPET system is considered. Results not only manifest resolving powers (RP) of PV and MLP methods ~114% and ~36% but also exhibit shifting of reconstructed images from the original positions ~3% and ~63% respectively. Position conversion factors play a crucial role to reinstate the image position in the PV method and stipulate excellent images. A PV is a position reconstruction method of positron-electron annihilation points developed afresh without iteration and that makes its beauty by saving huge computational time and radiation dose of the patient.
Keywords
Cite
@article{arxiv.1006.5498,
title = {A Monte Carlo Simulation study of Most Likely Position (MLP) and Position Vector (PV) methods in TOFPET},
author = {Nagendra Nath Mondal},
journal= {arXiv preprint arXiv:1006.5498},
year = {2010}
}
Comments
PDF single file, 5 pages, 3 figures, presented in ICPA-15 2009 conference