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Abstract #4587

Towards real-time bulk-motion detection in cardiac MRI

Marco Mueller1,2, Ludovica Romanin1,2, Christopher Roy2, Robin Ferincz2, and Matthias Stuber2,3
1Advanced Clinical Imaging Technology, Siemens Healthineers, Lausanne, Switzerland, 2Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 3Center for Biomedical Imaging (CIBM), Lausanne, Switzerland

Synopsis

Keywords: Motion Correction, Motion Correction, Cardiovascular; free-running; CMR

Motivation: If undetected, bulk-motion during free-running cardiac MR image acquisition decreases image quality.

Goal(s): The goal of this work is to test the feasibility of a real-time bulk-motion detection framework.

Approach: The framework uses a PCA-based model and data consistency measures. It was evaluated in a retrospective volunteer study of free-running cardiac MR data and instructed bulk-motion events.

Results: The results show that bulk-motion was detected correctly within a processing-time of 6ms per shot, thus advancing the hypothesis that prospective bulk-motion detection can be accomplished for cardiac free-running MRI when the framework is implemented inline.

Impact: When implemented inline on the MRI scanner, the proposed bulk-motion detection framework can prevent inefficient workflows and compromised diagnostic image quality. Real-time bulk-motion detection paves the way for an automated prospective adaptation of MRI sequence parameters on the fly.

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Keywords