Keywords: Motion Correction, Validation
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.
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