Effect of data-driven motion correction for respiratory movement on lesion detectability in PET-CT: a phantom study

Effect of data-driven motion correction for respiratory movement on lesion detectability in PET-CT: a phantom study

Abstract Purpose While data-driven motion correction (DDMC) techniques have proven to enhance the visibility of lesions affected by motion, their impact on overall detectability remains unclear. This study investigates whether DDMC improves lesion detectability in PET-CT using FDG-18F. Method A movi...

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Bibliographic Details
Main Authors: Marloes A. de Winter, Robin Gevers, Jules Lavalaye, Jan B. A. Habraken, Matteo Maspero
Format: Article
Language:English
Published: SpringerOpen 2025-07-01
Series:EJNMMI Physics
Subjects:
Positron emission tomography
Computed tomography
Motion correction
Artificial intelligence
Respiratory motion correction
Online Access:https://doi.org/10.1186/s40658-025-00784-x
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