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Abstract #3337

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

Sophie Schauman1, Adam van Niekerk1, Henric Rydén1,2, Ola Norbeck1,2, Enrico Avventi1,2, Tim Sprenger3, and Stefan Skare1,2
1Karolinska Institutet, Stockholm, Sweden, 2Karolinska University Hospital, Stockholm, Sweden, 3MR Applied Science Laboratory Europe, GE Healthcare, Munich, Germany

Synopsis

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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Keywords