mlsanityData to 14 Oct 2026

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

arXiv 2505.03149 ↗First posted 6 May 2025cs.CV cs.AIcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 13 of its 41 references that are in the map. First posted on arXiv 6 May 2025.

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References · 13

  1. 2018VoxelMorph: A Learning Framework for Deformable Medical Image Registrationcited by 662
  2. 2019Time-Dependent Deep Image Prior for Dynamic MRIcited by 70
  3. 2022Neural Implicit k-Space for Binning-free Non-Cartesian Cardiac MR Imagingcited by 35
  4. 2019Learning Energy-Based Models in High-Dimensional Spaces with Multi-scale Denoising Score Matchingcited by 26
  5. 2021Dynamic imaging using a deep generative SToRM (Gen-SToRM) modelcited by 17
  6. 2023ICoNIK: Generating Respiratory-Resolved Abdominal MR Reconstructions Using Neural Implicit Representations in k-Spacecited by 10
  7. 2023Multi-Scale Energy (MuSE) plug and play framework for inverse problemscited by 8
  8. 2020Iterative Motion Compensation reconstruction ultra-short TE(iMoCo UTE) for high resolution free breathing pulmonary MRIcited by 7
  9. 2021Dynamic imaging using Motion-Compensated SmooThness Regularization on Manifolds (MoCo-SToRM)cited by 7
  10. 2021Variational manifold learning from incomplete data: application to multislice dynamic MRIcited by 6
  11. 2023Motion-robust free-running volumetric cardiovascular MRIcited by 3
  12. 2024Multi-dynamic deep image prior for cardiac MRIcited by 3
1 more
  1. 2024Accelerated Real-time Cine and Flow under In-magnet Staged Exercisecited by 1

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