Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
560-04-007 Registered Abstract

Diffusion-based k-space inpainting for improved 5D free-running CMR reconstruction

Primary: Acquisition & Reconstruction - Image Reconstruction: AI
Secondary: Cardiovascular - Myocardium
560-04-007 · Automated Cardiovascular MRI · Wednesday, 13 May, 2:35 PM–3:30 PM · Digital Posters Row A
Keywords: K-Space Deep Learning Free-running MRI Ferumoxytol-enhanced imaging Diffusion model Inpainting
Accepted
Thomas Coudert 1,2,3, Amit Rand1,2,3,4, Xinran Gao Xinran Gao1,2,3, Zhengyang Ming1,2,3, J. Paul Finn2, Dan Ruan3,5, Kim-Lien Nguyen1,2,3
1Division of Cardiology, David Geffen School of Medicine at UCLA and VA Greater Los Angeles Healthcare System, Los Angeles, United States of America
2Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, California, United States of America
3UCLA, Los Angeles, California, United States of America
4Department of Mathematics, UCLA, Los Angeles, California, United States of America
5David Geffen School of Medicine at UCLA, Los Angeles, United States of America
Presenting Author: Thomas Coudert

Synopsis

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References

1. Fan Y, Liao H, Huang S, Luo Y, Fu H, Qi H. A survey of emerging applications of diffusion probabilistic models in MRI. Meta-Radiology. 2024;2(2):100082. doi:10.1016/j.metrad.2024.100082 [doi]
2. Han, Fei et al. “Self-gated 4D multiphase, steady-state imaging with contrast enhancement (MUSIC) using rotating cartesian K-space (ROCK): Validation in children with congenital heart disease.” Magnetic resonance in medicine vol. 78,2 (2017): 472-483. doi:10.1002/mrm.26376 [doi]
3. Zhao Zixuan, et al. Ferumoxytol-Enhanced 5D Multiphase Steady-State Imaging Using Rotating Cartesian K-Space With Low-Rank Reconstruction for Pediatric Congenital Heart Disease. Journal of Magnetic Resonance Imaging. 2025;61(3):1311-1322. doi:10.1002/jmri.29565 [doi]
4. Ghodrati Vahid, et al. Temporally Aware Volumetric Generative Adversarial Network-Based MR Image Reconstruction with Simultaneous Respiratory Motion Compensation: Initial Feasibility in 3D Dynamic Cine Cardiac MRI. Magn Reson Med. 2021;86(5):2666-2683. doi:10.1002/mrm.28912 [doi]
5. Zhang L, Zhou IY, Montesi SB, Feng L, Liu F. Domain-conditioned and Temporal-guided Diffusion Modeling for Accelerated Dynamic MRI Reconstruction. arXiv. Preprint posted online January 16, 2025. doi:10.48550/arXiv.2501.09305 [doi]
6. Xie Y, Li Q. Measurement-Conditioned Denoising Diffusion Probabilistic Model for Under-Sampled Medical Image Reconstruction. In: Wang L, Dou Q, Fletcher PT, Speidel S, Li S, eds. Medical Image Computing and Computer Assisted Intervention – MICCAI 2022. Springer Nature Switzerland; 2022:655-664. doi:10.1007/978-3-031-16446-0_62 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/560-04-007