Effects of List-Mode Based Intra-Frame Motion Correction in Dynamic Brain PET Imaging

• Published in: IEEE transactions on radiation and plasma medical sciences p. 1
• Main Authors: Tiss, Amal, Chemli, Yanis, Guehl, Nicolas, Marin, Thibault, Johnson, Keith, Fakhri, Georges El, Ouyang, Jinsong
• Format: Journal Article
• Language: English
• Published: IEEE 21.07.2024
• Subjects: 18F-MK6240; Alzheimer’s Disease; Biomedical imaging; Dynamics; Hospitals; Image reconstruction; Imaging; List-mode-based Reconstruction; Motion Correction; Positron emission tomography; Radiology
• ISSN: 2469-7311; 2469-7303
• DOI: 10.1109/TRPMS.2024.3432322

Motion is unavoidable in dynamic 18F-MK6240 Positron Emission Tomography (PET) imaging, especially in Alzheimer's disease (AD) research requiring long scan duration. To understand how motion correction affects quantitative analysis, we investigated two approaches: II-MC, which corrects for both inter-frame and intra-frame motion, and IO-MC, which only corrects for inter-frame motion. These methods were applied to 83 scans from 34 subjects, and we calculated distribution volume ratios (DVR) using the multilinear reference tissue model with two parameters (MRTM2) in tau-rich brain regions. Most of the studies yielded similar DVR results for both II-MC and IO-MC. However, in one scan of an AD subject, the inferior temporal region showed 14% higher DVR with II-MC compared to IO-MC. This difference was reasonable given the AD diagnosis, although similar results were not observed in other regions. Although discrepancies between IO-MC and II-MC results were rare, they underscore the importance of incorporating intra-frame motion correction for more accurate and dependable PET quantitation, particularly in the context of dynamic imaging. These findings suggest that while the overall impact of intra-frame motion correction may be subtle, it can improve the reliability of longitudinal PET data, ultimately enhancing our understanding of tau protein distribution in AD pathology.