Improved Multi-Shot Diffusion-Weighted MRI with Zero-Shot Self-Supervised Learning Reconstruction. (arXiv:2308.05103v1 [eess.IV])

Diffusion MRI is commonly performed using echo-planar imaging (EPI) due to
its rapid acquisition time. However, the resolution of diffusion-weighted
images is often limited by magnetic field inhomogeneity-related artifacts and
blurring induced by T2- and T2*-relaxation effects. To address these
limitations, multi-shot EPI (msEPI) combined with parallel imaging techniques
is frequently employed. Nevertheless, reconstructing msEPI can be challenging
due to phase variation between multiple shots. In this study, we introduce a
novel msEPI reconstruction approach called zero-MIRID (zero-shot
self-supervised learning …

acquisition arxiv diffusion echo effects images imaging limitations mri self-supervised learning supervised learning