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ABSTRACT: Background
Patient motion constitutes a limitation to 15O-water cardiac PET imaging. We examined the ability of image readers to detect and correct patient motion using simulated motion data and clinical patient scans.Methods
Simulated data consisting of 16 motions applied to 10 motion-free scans were motion corrected using two approaches, pre-analysis and post-analysis for motion identification. Both approaches employed a manual frame-by-frame correction method. In addition, a clinical cohort was analyzed for assessment of prevalence and effect of motion and motion correction.Results
Motion correction was performed on 94% (pre-analysis) and 64% (post-analysis) of the scans. Large motion artifacts were corrected in 91% (pre-analysis) and 74% (post-analysis) of scans. Artifacts in MBF were reduced in 56% (pre-analysis) and 58% (post-analysis) of the scans. The prevalence of motion in the clinical patient cohort (n = 762) was 10%. Motion correction altered exam interpretation in only 10 (1.3%) clinical patient exams.Conclusion
Frame-by-frame motion correction after visual inspection is useful in reducing motion artifacts in cardiac 15O-water PET. Reviewing the initial results (parametric images and polar maps) as part of the motion correction process, reduced erroneous corrections in motion-free scans. In a large clinical cohort, the impact of motion correction was limited to few patients.
SUBMITTER: Christensen NL
PROVIDER: S-EPMC10682105 | biostudies-literature | 2023 Dec
REPOSITORIES: biostudies-literature
Christensen Nana L NL Nordström Jonny J Madsen Simon S Madsen Michael A MA Gormsen Lars C LC Kero Tanja T Lubberink Mark M Tolbod Lars P LP
Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology 20230828 6
<h4>Background</h4>Patient motion constitutes a limitation to <sup>15</sup>O-water cardiac PET imaging. We examined the ability of image readers to detect and correct patient motion using simulated motion data and clinical patient scans.<h4>Methods</h4>Simulated data consisting of 16 motions applied to 10 motion-free scans were motion corrected using two approaches, pre-analysis and post-analysis for motion identification. Both approaches employed a manual frame-by-frame correction method. In ad ...[more]