EPI susceptibility correction introduces significant differences far from local areas of high distortion.

ABSTRACT:

Purpose

In echo-planar diffusion-weighted imaging, correcting for susceptibility-induced artifacts typically requires acquiring pairs of images, known as blip-up blip-down acquisitions, to create an undistorted volume as a target to correct distortions that are often focal where regions with differences in magnetic susceptibility interface, such as the frontal and temporal areas. However, blip-up blip-down acquisitions are not always available, and distortion effects may not be specifically localized to such areas, with subtle effects potentially extending throughout the brain. Here, we apply a deep learning technique to generate an undistorted volume to correct susceptibility-induced artifacts and demonstrate implications for image fidelity and diffusion-based inference outside of

SUBMITTER: Begnoche JP 

PROVIDER: S-EPMC10265545 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature