Iterative Learning for Joint Image Denoising and Motion Artifact Correction of 3D Brain MRI

arXiv:2403.08162v1 Announce Type: cross
Abstract: Image noise and motion artifacts greatly affect the quality of brain MRI and negatively influence downstream medical image analysis. Previous studies often focus on 2D methods that process each volumetric MR image slice-by-slice, thus losing important 3D anatomical information. Additionally, these studies generally treat image denoising and artifact correction as two standalone tasks, without considering their potential relationship, especially on low-quality images where severe noise and motion artifacts occur simultaneously. To address these issues, we …

abstract analysis artifact arxiv brain cs.cv cs.lg denoising eess.iv focus image influence information iterative medical mri noise process quality slice studies type