Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
467-04-003 ISMRM Abstract

ESPIRiT guided Implicit Neural Representations with Multi-Resolution Hash Encoding for Self-supervised Cardiac Cine MRI Recon

Primary: Cardiovascular - Heart Failure
Secondary: Acquisition & Reconstruction - Image Reconstruction: AI
467-04-003 · Cardiovascular Imaging and Motion Correction Strategies · Tuesday, 12 May, 2:35 PM–3:30 PM · Digital Posters Row H
Keywords: AI/ML Image Reconstruction CINE Implicit neural representation Self-supevised learning Cardiac
Accepted
Terrence R Jao1, Shreyas Vasanawala1,2, Ali B Syed3
1Department of Radiology, Stanford University, Stanford, United States of America
2Stanford University, Stanford, United States of America
3Department of Radiology, Stanford Medicine, Stanford, United States of America
Presenting Author: Chenwei Tang

Synopsis

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References

1. Müller T. tiny-cuda-nn. April 2021. https://github.com/NVlabs/tiny-cuda-nn.
2. Accelerating cardiac cine MRI using a deep learning-based ESPIRiT reconstruction - PubMed. https://pubmed.ncbi.nlm.nih.gov/32697891/. Accessed October 22, 2025. [pmid]
3. Yaman B, Hosseini SAH, Moeller S, Ellermann J, Uğurbil K, Akçakaya M. Self-Supervised Learning of Physics-Guided Reconstruction Neural Networks without Fully-Sampled Reference Data. Magn Reson Med. 2020;84(6):3172-3191. doi:10.1002/mrm.28378 [doi]
4. Müller T, Evans A, Schied C, Keller A. Instant Neural Graphics Primitives with a Multiresolution Hash Encoding. ACM Trans Graph. 2022;41(4):1-15. doi:10.1145/3528223.3530127 [doi]
5. Huang W, Li H, Pan J, Cruz G, Rueckert D, Hammernik K. Neural Implicit k-Space for Binning-free Non-Cartesian Cardiac MR Imaging. June 2023. doi:10.48550/arXiv.2212.08479 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/467-04-003