Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
660-04-008 ISMRM Abstract

3D SNC-PDNet: Adaptive Density Compensation for Robust Non-Cartesian ASL MRI Reconstruction

Primary: Acquisition & Reconstruction - Image Reconstruction: AI
Secondary: Acquisition & Reconstruction - AI methods
660-04-008 · AI: Anything Synthetic or Correcting Artifacts · Thursday, 14 May, 2:35 PM–3:30 PM · Digital Posters Row A
Keywords: Machine Learning/Artificial Intelligence Non cartesian MRI Deep unrolling network Accelerated MRI reconstruction 3D Reconstruction
Accepted
Yanchen Guo1, Li Zhao2, David C Alsop3, Weiying Dai 1
1School of Computing, The State University of New York at Binghamton, Binghamton, United States of America
2College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China
3Department of Radiology, Beth Israel Deaconess Medical Center, Boston, United States of America
Presenting Author: Weiying Dai

Synopsis

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References

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2. B. P. Sutton, D. C. Noll, and J. A. Fessler, “Fast, iterative image reconstruction for MRI in the presence of field inhomogeneities,” IEEE Trans. Med. Imaging, vol. 22, no. 2, pp. 178–188, Feb. 2003, doi: 10.1109/TMI.2002.808360. [doi]
3. Z. Ramzi, C. G R, J.-L. Starck, and P. Ciuciu, “NC-PDNet: A Density-Compensated Unrolled Network for 2D and 3D Non-Cartesian MRI Reconstruction,” IEEE Trans. Med. Imaging, vol. 41, no. 7, pp. 1625–1638, July 2022, doi: 10.1109/TMI.2022.3144619. [doi]
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6. F. Munsch et al., “Rotated spiral RARE for high spatial and temporal resolution volumetric arterial spin labeling acquisition,” NeuroImage, vol. 223, p. 117371, Dec. 2020, doi: 10.1016/j.neuroimage.2020.117371. [doi]
7. J. Adler and O. Öktem, “Learned Primal-Dual Reconstruction,” IEEE Trans. Med. Imaging, vol. 37, no. 6, pp. 1322–1332, June 2018, doi: 10.1109/TMI.2018.2799231. [doi]
8. A. Tanabene, C. G. Radhakrishna, A. Massire, M. S. Nadar, and P. Ciuciu, “Benchmarking 3D multi-coil NC-PDNet MRI reconstruction,” Nov. 08, 2024, arXiv: arXiv:2411.05883. doi: 10.48550/arXiv.2411.05883. [doi]

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http://echo.ismrm.org/p/ISMRM2026/660-04-008