Please use this identifier to cite or link to this item: https://doi.org/10.1371/journal.pone.0088200
Title: Myocardial defect detection using PET-CT: Phantom studies
Authors: Mananga E.S.
El Fakhri G.
Schaefferkoetter J. 
Bonab A.A.
Ouyang J.
Keywords: article
cardiac imaging
computer assisted emission tomography
contrast
filtered back projection
image processing
image quality
image reconstruction
imaging phantom
intermethod comparison
myocardial defect
myocardial disease
noise
ordinary poisson ordered subset expectation maximization
point spread function corrected OSEM
radiological procedures
signal noise ratio
Algorithms
Equipment Design
Female
Humans
Male
Myocardium
Phantoms, Imaging
Positron-Emission Tomography
Issue Date: 2014
Citation: Mananga E.S., El Fakhri G., Schaefferkoetter J., Bonab A.A., Ouyang J. (2014). Myocardial defect detection using PET-CT: Phantom studies. PLoS ONE 9 (2) : e88200. ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pone.0088200
Rights: Attribution 4.0 International
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. © 2014 Mananga et al.
Source Title: PLoS ONE
URI: https://scholarbank.nus.edu.sg/handle/10635/161430
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0088200
Rights: Attribution 4.0 International
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