Motion-compensated cardiac MRI using low-rank diffeomorphic flow (DMoCo)

• URL: http://arxiv.org/abs/2505.03149v3
• Date: Mon, 02 Jun 2025 16:13:13 GMT
• Title: Motion-compensated cardiac MRI using low-rank diffeomorphic flow (DMoCo)
• Authors: Joseph Kettelkamp, Ludovica Romanin, Sarv Priya, Mathews Jacob,
• Abstract summary: unsupervised motion-compensated image reconstruction algorithm for free-breathing and ungated 3D cardiac magnetic resonance imaging (MRI)<n>We express the image volume corresponding to each specific motion phase as the deformation of a single static image template.<n>The more constrained motion model is observed to offer improved recovery compared to current motion-compensated algorithms for free-breathing 3D cine MRI.
• Score: 11.684567299252741
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: We introduce an unsupervised motion-compensated image reconstruction algorithm for free-breathing and ungated 3D cardiac magnetic resonance imaging (MRI). We express the image volume corresponding to each specific motion phase as the deformation of a single static image template. The main contribution of the work is the low-rank model for the compact joint representation of the family of diffeomorphisms, parameterized by the motion phases. The diffeomorphism at a specific motion phase is obtained by integrating a parametric velocity field along a path connecting the reference template phase to the motion phase. The velocity field at different phases is represented using a low-rank model. The static template and the low-rank motion model parameters are learned directly from the k-space data in an unsupervised fashion. The more constrained motion model is observed to offer improved recovery compared to current motion-resolved and motion-compensated algorithms for free-breathing 3D cine MRI.

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