Myocardial defect detection using PET-CT: phantom studies.

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...

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Main Authors: Eugene S Mananga, Georges El Fakhri, Joshua Schaefferkoetter, Ali A Bonab, Jinsong Ouyang
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3914931?pdf=render
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author Eugene S Mananga
Georges El Fakhri
Joshua Schaefferkoetter
Ali A Bonab
Jinsong Ouyang
author_facet Eugene S Mananga
Georges El Fakhri
Joshua Schaefferkoetter
Ali A Bonab
Jinsong Ouyang
author_sort Eugene S Mananga
collection DOAJ
description 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.
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spelling doaj.art-36f85f223b3842379a4dbb5302da50312022-12-22T00:29:22ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0192e8820010.1371/journal.pone.0088200Myocardial defect detection using PET-CT: phantom studies.Eugene S ManangaGeorges El FakhriJoshua SchaefferkoetterAli A BonabJinsong OuyangIt 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.http://europepmc.org/articles/PMC3914931?pdf=render
spellingShingle Eugene S Mananga
Georges El Fakhri
Joshua Schaefferkoetter
Ali A Bonab
Jinsong Ouyang
Myocardial defect detection using PET-CT: phantom studies.
PLoS ONE
title Myocardial defect detection using PET-CT: phantom studies.
title_full Myocardial defect detection using PET-CT: phantom studies.
title_fullStr Myocardial defect detection using PET-CT: phantom studies.
title_full_unstemmed Myocardial defect detection using PET-CT: phantom studies.
title_short Myocardial defect detection using PET-CT: phantom studies.
title_sort myocardial defect detection using pet ct phantom studies
url http://europepmc.org/articles/PMC3914931?pdf=render
work_keys_str_mv AT eugenesmananga myocardialdefectdetectionusingpetctphantomstudies
AT georgeselfakhri myocardialdefectdetectionusingpetctphantomstudies
AT joshuaschaefferkoetter myocardialdefectdetectionusingpetctphantomstudies
AT aliabonab myocardialdefectdetectionusingpetctphantomstudies
AT jinsongouyang myocardialdefectdetectionusingpetctphantomstudies