Validation of a data-driven motion-compensated PET brain image reconstruction algorithm in clinical patients using four radiotracers

Validation of a data-driven motion-compensated PET brain image reconstruction algorithm in clinical patients using four radiotracers

Abstract Purpose Patients with dementia symptoms often struggle to limit movements during PET examinations, necessitating motion compensation in brain PET imaging to ensure the high image quality needed for diagnostic accuracy. This study validates a data-driven motion-compensated (MoCo) PET brain i...

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Bibliographic Details
Main Authors: Ole L. Munk, Anders B. Rodell, Patricia B. Danielsen, Josefine R. Madsen, Mie T. Sørensen, Niels Okkels, Jacob Horsager, Katrine B. Andersen, Per Borghammer, Joel Aanerud, Judson Jones, Inki Hong, Sven Zuehlsdorff
Format: Article
Language:English
Published: SpringerOpen 2025-02-01
Series:EJNMMI Physics
Subjects:
PET
Brain
Dementia
Motion correction
Reconstruction
Data driven
Online Access:https://doi.org/10.1186/s40658-025-00723-w
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