2021 ISMRM and ISMRT Annual Meeting and Exhibition
15 May 2021 – 20 May 2021 · Online, Virtual
1982 ISMRM Abstract

Wave-Encoded Model-Based Deep Learning with Joint Reconstruction and Segmentation

1982 · Machine Learning to Reconstruct Accelerated Scans · Tuesday, 18 May, 3:00 PM–4:00 PM · Concurrent 1
Accepted
Jaejin Cho 1,2, Qiyuan Tian1,2, Robert Frost1,2, Itthi Chatnuntawech3, Berkin Bilgic1,2,4
1Athinoula A. Martinos Center for Biomedical Imaging, Cambridge, United States of America
2Havard Medical School, Boston, United States of America
3National Nanotechnology Center, Pathum Thani, Thailand
4Harvard-MIT Division of Health Sciences and Technology, Cambridge, United States of America
Presenting Author: Jaejin Cho
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References

1. Aggarwal HK, Mani MP, Jacob M. MoDL: Model-based deep learning architecture for inverse problems. IEEE transactions on medical imaging 2018;38:394–405.
2. Bilgic B, Gagoski BA, Cauley SF, et al. Wave-CAIPI for highly accelerated 3D imaging. Magnetic Resonance in Medicine 2015;73:2152–2162 doi: 10.1002/mrm.25347 . [doi]
3. Gagoski BA, Bilgic B, Eichner C, et al. RARE/turbo spin echo imaging with simultaneous multislice Wave-CAIPI: RARE/TSE with SMS Wave-CAIPI. Magnetic Resonance in Medicine 2015;73:929–938 doi: 10.1002/mrm.25615 . [doi]
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5. Polak D, Cauley S, Bilgic B, et al. Joint multi-contrast variational network reconstruction (jVN) with application to rapid 2D and 3D imaging. Magnetic Resonance in Medicine 2020;84:1456–1469 doi: https://doi.org/ 10.1002/mrm.28219 .
6. Aggarwal HK, Mani MP, Jacob M. MoDL-MUSSELS: Model-Based Deep Learning for Multi-Shot Sensitivity Encoded Diffusion MRI. IEEE Trans. Med. Imaging 2020;39:1268–1277 doi: 10.1109/TMI.2019.2946501 . [doi]
7. Sun L, Fan Z, Ding X, Huang Y, Paisley J. Joint CS-MRI Reconstruction and Segmentation with a Unified Deep Network. In: Chung ACS, Gee JC, Yushkevich PA, Bao S, editors. Information Processing in Medical Imaging. Cham: Springer International Publishing; 2019. pp. 492–504.
8. Weiss T, Senouf O, Vedula S, Michailovich O, Zibulevsky M, Bronstein A. PILOT: Physics-Informed Learned Optimized Trajectories for Accelerated MRI. arXiv:1909.05773 [physics] 2020.
9. An open, multi-vendor, multi-field-strength brain MR dataset and analysis of publicly available skull stripping methods agreement. NeuroImage 2018;170:482–494 doi: 10.1016/j.neuroimage.2017.08.021 . 1 0. Uecker M, Tamir JI, Ong F, Lustig M. The BART Toolbox for Computational Magnetic Resonance Imaging. :1. [doi]
10. Dale AM, Fischl B, Sereno MI. Cortical Surface-Based Analysis: I. Segmentation and Surface Reconstruction. NeuroImage 1999;9:179–194 doi: 10.1006/nimg.1998.0395 . [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2021/1982