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To assess how data-driven respiratory motion correction affects image quality and quantitative stability in myocardial PET imaging with F-18 AraG.

Evaluation of motion correction on myocardial [ ¹ ⁸ F]F‐AraG PET uptake using data‐driven respiratory gating

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To assess how data-driven respiratory motion correction affects image quality and quantitative stability in myocardial PET imaging with F-18 AraG.
Used a data-driven gating approach from Siemens Healthineers for respiratory motion correction.
Analyzed 15 healthy subjects' F-18 AraG PET scans with threshold-based and fixed-size VOI segmentation.
Evaluated quantitative metrics (SUVmean, SUVmax) and spatial resolution via full width at half maximum (FWHM).
Motion correction reduced myocardial FWHM by approximately 0.6 mm, enhancing spatial resolution.
Fixed VOI approach maintained stable SUVmean (< 1%) compared to variable estimates from threshold-based segmentation.
Overall effect showed reduced motion blur but increased statistical noise, with improved boundary definition.

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Randomized trial evaluates data-driven motion correction improving image quality in myocardial PET imaging, indicating practical applications.

Kim et al. (2026) studied this question.

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Randomized trial evaluates data-driven motion correction improving image quality in myocardial PET imaging, indicating practical applications.