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YNIMG 2022

Adaptive data-driven motion detection and optimized correction for brain PET

Journal Article journal-article Artificial Intelligence · Medical Imaging

Abstract

C-RAC) as compared to Vicra while NMC, FIR1, FIR2 and 1DCOD yielded -14.9 ± 9.0% (-24.5 ± 14.6%), -3.6 ± 4.9% (-13.4 ± 14.3%), -0.6 ± 3.4% (-6.7 ± 5.3%) and -1.5 ± 4.2% (-2.2 ± 4.1%), respectively. In summary, the proposed motion correction method yielded comparable performance to the hardware-based motion tracking method for multiple tracers, including very challenging cases with large frequent head motion, in studies performed on a non-TOF scanner.

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Context

Venue
NeuroImage
Archive span
1992-2026
Indexed papers
27551
Paper id
298557986896770103
v2026.09.13