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Myocardial Defect Detection Using PET-CT: Phantom Studies

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  • Eugene S Mananga
  • Georges El Fakhri
  • Joshua Schaefferkoetter
  • Ali A Bonab
  • Jinsong Ouyang

Abstract

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.

Suggested Citation

  • Eugene S Mananga & Georges El Fakhri & Joshua Schaefferkoetter & Ali A Bonab & Jinsong Ouyang, 2014. "Myocardial Defect Detection Using PET-CT: Phantom Studies," PLOS ONE, Public Library of Science, vol. 9(2), pages 1-6, February.
    • Handle: RePEc:plo:pone00:0088200
    DOI: 10.1371/journal.pone.0088200
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