%0 Journal Article
%T Myocardial Defect Detection Using PET-CT: Phantom Studies
%A Eugene S. Mananga
%A Georges El Fakhri
%A Joshua Schaefferkoetter
%A Ali A. Bonab
%A Jinsong Ouyang
%J PLOS ONE
%D 2014
%I Public Library of Science (PLoS)
%R 10.1371/journal.pone.0088200
%X It is expected that both noise and activity distribution can have impact on the detectability of a myocardial defect in a cardiac PET study. In this work, we performed phantom studies to investigate the detectability of a defect in the myocardium for different noise levels and activity distributions. We evaluated the performance of three reconstruction schemes: Filtered Back-Projection (FBP), Ordinary Poisson Ordered Subset Expectation Maximization (OP¨COSEM), and Point Spread Function corrected OSEM (PSF¨COSEM). We used the Channelized Hotelling Observer (CHO) for the task of myocardial defect detection. We found that the detectability of a myocardial defect is almost entirely dependent on the noise level and the contrast between the defect and its surroundings.
%U http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0088200