Verifying retrospective spoke rejection as a way to use prospective motion correction with 3D stack-of-stars GRE

Motivation: Patient motion often reduces image quality in particular in 3D acquisitions, rendering the images diagnostically unusable. Goal(s): Improved robustness to motion for 3D acquisitions in challenging patient populations, e.g. unsedated children. Approach: Our group recently proposed a combination of radial sampling, real-time prospective motion correction, and retrospective spoke rejection to improve robustness. This study focuses on validating and extending the proposed retrospective spoke rejection method. Impact: This validation study will show whether retrospective spoke rejection in combination with prospective motion correction and radial sampling can improve image quality consistently under realistic motion conditions.