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Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity StudiesMRI in cancer diagnosis

Motion Artifact Correction in MRI with a Gibbs Sampling Residual Diffusion Model

Jingwen Yue, Rui Chen, Zijian Jia, Le Liu

2026.2.1APPLIED MAGNETIC RESONANCE

DOI: 10.1007/s00723-026-01831-1

tlooto Summary

GRDMoCo offers an effective deep learning-based solution for MRI motion artifact correction with strong clinical potential, especially for motion-prone populations such as infants and patients with Alzheimer’s disease, and also holds promise for extension to other motion-sensitive imaging modalities.

Abstract

Abstract is not available.

Citation format

YUE, Jingwen, et al. Motion artifact correction in MRI with a gibbs sampling residual diffusion model. APPLIED MAGNETIC RESONANCE, 2026, 57(2).