2024 ISMRM and ISMRT Annual Meeting and Exhibition
4 May 2024 – 9 May 2024 · Singapore, Singapore
0625 ISMRM Abstract

Rapid Pediatric Imaging with Zero-Shot Deep Subspace Reconstruction for Multiparametric Quantitative MRI

Accepted
Yohan Jun 1,2, Shohei Fujita1,2, Jaejin Cho1,2,3, Xingwang Yong1,2,4, Eugene Milshteyn5, Camilo Jaimes2,3,6, Suely Fazio Ferraciolli2,3,6, Borjan Gagoski2,7, Michael Gee2,3,6, Berkin Bilgic1,2,8
1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, United States of America
2Department of Radiology, Harvard Medical School, Boston, United States of America
3Pediatric Imaging Research Center, Massachusetts General Hospital, Boston, United States of America
4Zhejiang University, Hangzhou, China
5GE HealthCare (United States), United States of America
6Department of Radiology, Massachusetts General Hospital, Boston, United States of America
7Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children's Hospital, Boston, United States of America
8Harvard-MIT Division of Health Sciences and Technology, Cambridge, United States of America
Presenting Author: Yohan Jun
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References

1. Tamir JI, Uecker M, Chen W, et al. T2 shuffling: Sharp, multicontrast, volumetric fast spin-echo imaging. Magn. Reson. Med. 2017;77:180–195.
2. Zhao B, Setsompop K, Adalsteinsson E, et al. Improved magnetic resonance fingerprinting reconstruction with low-rank and subspace modeling. Magn. Reson. Med. 2018;79:933–942.
3. Wang F, Dong Z, Reese TG, et al. Echo planar time-resolved imaging (EPTI). Magn. Reson. Med. 2019;81:3599–3615.
4. Christodoulou AG, Shaw JL, Nguyen C, et al. Magnetic resonance multitasking for motion-resolved quantitative cardiovascular imaging. Nat Biomed Eng 2018;2:215–226.
5. Kvernby S, Warntjes MJB, Haraldsson H, Carlhäll C-J, Engvall J, Ebbers T. Simultaneous three-dimensional myocardial T1 and T2 mapping in one breath hold with 3D-QALAS. J. Cardiovasc. Magn. Reson. 2014;16:102.
6. Kvernby S, Warntjes M, Engvall J, Carlhäll C-J, Ebbers T. Clinical feasibility of 3D-QALAS - Single breath-hold 3D myocardial T1- and T2-mapping. Magn. Reson. Imaging 2017;38:13–20.
7. Fujita S, Hagiwara A, Takei N, et al. Accelerated Isotropic Multiparametric Imaging by High Spatial Resolution 3D-QALAS With Compressed Sensing: A Phantom, Volunteer, and Patient Study. Invest. Radiol. 2021;56:292–300.
8. Fujita S, Hagiwara A, Hori M, et al. Three-dimensional high-resolution simultaneous quantitative mapping of the whole brain with 3D-QALAS: An accuracy and repeatability study. Magn. Reson. Imaging 2019;63:235–243.
9. Zhu D, Qin Q. A revisit of the k-space filtering effects of magnetization-prepared 3D FLASH and balanced SSFP acquisitions: Analytical characterization of the point spread functions. Magn. Reson. Imaging 2022;88:76–88.
10. Yaman B, Hosseini SAH, Akcakaya M. Zero-Shot Self-Supervised Learning for MRI Reconstruction. In: International Conference on Learning Representations. ; 2021.
11. 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;84:3172–3191.
12. Aggarwal HK, Mani MP, Jacob M. MoDL: Model-Based Deep Learning Architecture for Inverse Problems. IEEE Trans. Med. Imaging 2019;38:394–405.

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