2017
DOI: 10.1088/1361-6560/aa97c8
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Impact of motion compensation and partial volume correction for18F-NaF PET/CT imaging of coronary plaque

Abstract: Recent studies have suggested that <sup>18</sup>F-NaF-PET enables visualization and quantification of plaque micro-calcification in the coronary tree. However, PET imaging of plaque calcification in the coronary arteries is challenging because of the respiratory and cardiac motion as well as partial volume effects. The objective of this work is to implement an image reconstruction framework, which incorporates compensation for respiratory as well as cardiac motion (MoCo) and partial volume correcti… Show more

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Cited by 16 publications
(14 citation statements)
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“…More advanced methods, that use the synergistic information derived from the simultaneous PET and MR data acquisition, have been proposed to estimate [198] and to correct for motion in both PET and MR images [189]. Other attempts focused on the implementation of joint MoCo and PVC approaches to further improve the PET quantification of small lesions in regions that are susceptible to motion [199,200].…”
Section: Motion Compensationmentioning
confidence: 99%
“…More advanced methods, that use the synergistic information derived from the simultaneous PET and MR data acquisition, have been proposed to estimate [198] and to correct for motion in both PET and MR images [189]. Other attempts focused on the implementation of joint MoCo and PVC approaches to further improve the PET quantification of small lesions in regions that are susceptible to motion [199,200].…”
Section: Motion Compensationmentioning
confidence: 99%
“…A more in-depth discussion of quantification methods is beyond the scope of this article. Instead, readers are referred to articles dealing with such topic [16,[26][27][28][29][52][53][54][55][56][57].…”
Section: Methodsmentioning
confidence: 99%
“…which uses expectation‐maximization during reconstruction; or Wang et al . and Cal‐Gonzalez et al . that utilize motion fields to generate a single motion corrected image preserving the count statistics, would possibly be the most efficient way to account for cardiac and respiratory motion.…”
Section: Discussionmentioning
confidence: 99%
“…Advanced reconstruction methods, such as the work by Karakatsanis et al 24 which uses expectation-maximization during reconstruction; or Wang et al 6 and Cal-Gonzalez et al 25 that utilize motion fields to generate a single motion corrected image preserving the count statistics, would possibly be the most efficient way to account for cardiac and respiratory motion. However, these methods would involve the development of a dedicated reconstruction algorithm as no such reconstruction method is readily available for commercial scanners.…”
Section: Discussionmentioning
confidence: 99%