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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–OSEM, and Point Spread Function corrected OSEM PSF–OSEM. 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.



Author: Eugene S. Mananga, Georges El Fakhri, Joshua Schaefferkoetter, Ali A. Bonab, Jinsong Ouyang

Source: http://plos.srce.hr/



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