Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
303-01-007 ISMRM Abstract

Magnetic resonance fingerprinting reconstruction using spatiotemporal maps and implicit neural representation

Primary: Acquisition & Reconstruction - Quantitative Imaging: relaxometry, multi-parametric, MR Fingerprinting, and synthetic MRI
Secondary: Acquisition & Reconstruction - Image Reconstruction: AI
303-01-007 · AI Methods Beyond Reconstruction · Monday, 11 May, 8:20 AM–10:10 AM · Auditorium 1
Keywords: MR Fingerprinting Signal Representations AI/ML Image Reconstruction Dynamic MRI Reconstruction Low rank
Accepted
Rodrigo A Lobos 1, Christopher Keen2, Sydney Kaplan1,2,3, Hongze Yu4, Yun Jiang1,2,3, Nicole Seiberlich1,2,3, Jon-Fredrik Nielsen1,2,3,4,5, Jeffrey A Fessler2,3,6, Douglas C Noll1
1University of Michigan, Ann Arbor, United States of America
2Department of Biomedical Engineering, University of Michigan, Ann Arbor, United States of America
3Department of Radiology, University of Michigan, Ann Arbor, United States of America
4Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, United States of America
5Functional MRI Laboratory, Department of Radiology, University of Michigan, Ann Arbor, United States of America
6Department of Electrical and Computer Engineering, University of Michigan, Ann Arbor, United States of America
Presenting Author: Rodrigo A Lobos

Synopsis

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References

1. [1] McGivney, D.F., Pierre, E., Ma, D., Jiang, Y., Saybasili, H., Gulani, V. and Griswold, M.A., 2014. SVD compression for magnetic resonance fingerprinting in the time domain. IEEE transactions on medical imaging, 33(12), pp.2311-2322. https://doi.org/10.1109/TMI.2014.2337321 [doi]
2. [2] Zhao, B., Setsompop, K., Adalsteinsson, E., Gagoski, B., Ye, H., Ma, D., Jiang, Y., Ellen Grant, P., Griswold, M.A. and Wald, L.L., 2018. Improved magnetic resonance fingerprinting reconstruction with low‐rank and subspace modeling. Magnetic resonance in medicine, 79(2), pp.933-942. https://doi.org/10.1002/mrm.26701 [doi]
3. [3] Assländer, J., Cloos, M.A., Knoll, F., Sodickson, D.K., Hennig, J. and Lattanzi, R., 2018. Low rank alternating direction method of multipliers reconstruction for MR fingerprinting. Magnetic resonance in medicine, 79(1), pp.83-96. https://doi.org/10.1002/mrm.26639 [doi]
4. [4] Doneva, M., Amthor, T., Koken, P., Sommer, K. and Börnert, P., 2017. Matrix completion-based reconstruction for undersampled magnetic resonance fingerprinting data. Magnetic resonance imaging, 41, pp.41-52. https://doi.org/10.1016/j.mri.2017.02.007 [doi]
5. [5] Hamilton, J.I., Truesdell, W., Galizia, M., Burris, N., Agarwal, P. and Seiberlich, N., 2023. A low-rank deep image prior reconstruction for free-breathing ungated spiral functional CMR at 0.55 T and 1.5 T. Magnetic Resonance Materials in Physics, Biology and Medicine, 36(3), pp.451-464. https://doi.org/10.1007/s10334-023-01088-w [doi]
6. [6] Cruz, G., Qi, H., Jaubert, O., Kuestner, T., Schneider, T., Botnar, R.M. and Prieto, C., 2022. Generalized low‐rank nonrigid motion‐corrected reconstruction for MR fingerprinting. Magnetic Resonance in Medicine, 87(2), pp.746-763. https://doi.org/10.1002/mrm.29027 [doi]
7. [7] Liang, Z.P., 2007, April. Spatiotemporal imaging with partially separable functions. In 2007 4th IEEE international symposium on biomedical imaging: from nano to macro (pp. 988-991). IEEE. https://doi.org/10.1109/NFSI-ICFBI.2007.4387720 [doi]
8. [8] Lobos, R.A., Wang, X., Fung, R.T., He, Y., Frey, D., Gupta, D., Liu, Z., Fessler, J.A. and Noll, D.C., 2025. Spatiotemporal Maps for Dynamic MRI Reconstruction. arXiv preprint arXiv:2507.14429. https://doi.org/10.48550/arXiv.2507.14429 [doi]
9. [9] Yu, H., Fessler, J.A. and Jiang, Y., 2025. Bilevel optimized implicit neural representation for scan-specific accelerated mri reconstruction. arXiv preprint arXiv:2502.21292. https://doi.org/10.48550/arXiv.2502.21292 [doi]
10. [10] Hamilton, J.I., Jiang, Y., Chen, Y., Ma, D., Lo, W.C., Griswold, M. and Seiberlich, N., 2017. MR fingerprinting for rapid quantification of myocardial T1, T2, and proton spin density. Magnetic resonance in medicine, 77(4), pp.1446-1458. https://doi.org/10.1002/mrm.26216 [doi]
11. [11] Jiang, Y., Ma, D., Seiberlich, N., Gulani, V. and Griswold, M.A., 2015. MR fingerprinting using fast imaging with steady state precession (FISP) with spiral readout. Magnetic resonance in medicine, 74(6), pp.1621-1631. https://doi.org/10.1002/mrm.25559 [doi]
12. [12] Lobos, R.A., Chan, C.C. and Haldar, J.P., 2023. New theory and faster computations for subspace-based sensitivity map estimation in multichannel MRI. IEEE transactions on medical imaging, 43(1), pp.286-296. https://doi.org/10.1109/TMI.2023.3297851 [doi]

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http://echo.ismrm.org/p/ISMRM2026/303-01-007