2021 ISMRM and ISMRT Annual Meeting and Exhibition
15 May 2021 – 20 May 2021 · Online, Virtual
1346 ISMRM Abstract

Improved multi-shot EPI ghost correction for high gradient strength diffusion MRI using Structured Low-Rank Modeling k-space reconstruction

1346 · Diffusion Acquisition & Post-Processing · Monday, 17 May, 3:00 PM–4:00 PM · Concurrent 6
Accepted
Gabriel Ramos-Llordén 1, Rodrigo A Lobos2, Tae Hyung Kim1, Qiyuan Tian1, Slimane Tounetki1, Thomas Witzel3, Boris Keil4, Anatasia Yendiki1, Berkin Bilgic1,5, Justin P Haldar2, Susie Huang1,5
1Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Masachusetts General Hospital, Harvard Medical School, Boston, United States of America
2Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, United States of America
3Q Bio Inc, San Carlos, United States of America
4Institute of Medical Physics and Radiation Protection, Mittelhessen University of Applied Sciences, Gießen, Germany
5Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, United States of America
Presenting Author: Gabriel Ramos-Llordén
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References

1. Holdsworth, S. J. et al. The quest for high spatial resolution diffusion‐weighted imaging of the human brain in vivo. NMR in Biomedicine, 2019, 32(4), e40562.
2. Schmitt, F. et al. Echo-planar imaging: theory, technique, and application. Springer Science & Business Media.
3. Setsompop, K et al. Pushing the limits of in vivo diffusion MRI for the Human Connectome Project. Neuroimage, 80, 220-233.
4. Haldar, J. P. Low-rank modeling of local k-space neighborhoods (LORAKS) for constrained MRI. IEEE Transactions on Medical Imaging, 33(3), 668-681.
5. Lobos, R. A. et al. Navigator-free EPI ghost correction with structured low-rank matrix models: New theory and methods. IEEE Transactions on Medical Imaging, 37(11), 2390-2402.
6. Mani, Merry, et al. "Multi‐shot sensitivity‐encoded diffusion data recovery using structured low‐rank matrix completion (MUSSELS)." Magnetic resonance in medicine 78(2): 494-507.
7. Lee, Juyoun et al. "Reference‐free single‐pass EPI Nyquist ghost correction using annihilating filter‐based low rank Hankel matrix (ALOHA)." Magnetic resonance in medicine 76(6): 1775-1789.
8. Buonocore, M. H., & Gao, L.. Ghost artifact reduction for echo-planar imaging using image phase correction. Magnetic resonance in medicine, 38(1), 89-100.
9. Haldar, J. P., & Setsompop, K. Linear predictability in MRI reconstruction: Leveraging shift-invariant Fourier structure for faster and better imaging. IEEE Signal Process. Mag., 37(1) 69-82 10. Bilgic, Berkin, et al. "Highly accelerated multishot echo-planar imaging through synergistic machine learning and joint reconstruction." Magnetic resonance in medicine 82(4): 1343-1358.
10. Uecker, Martin, et al. "ESPIRiT—an eigenvalue approach to autocalibrating parallel MRI: where SENSE meets GRAPPA." Magnetic resonance in medicine 71(3): 990-1001.
11. Scholz, A, et al., “A 48-channel ex vivo Brain Array Coil for Diffusion-Weighted MRI at 3T”, Proc. Intl. Soc. Mag. Reson. Med. 27, 1494 13. Lobos, R. A. et al., "Robust Autocalibrated Structured Low-Rank EPI Ghost Correction", Magnetic resonance in Medicine, 2020;00:1-17 14. Hu, Y. et al.. Multi‐shot diffusion‐weighted MRI reconstruction with magnitude‐based spatial‐angular locally low‐rank regularization (SPA‐LLR). Magnetic Resonance in Medicine, 83(5), 1596-1607.
12. Ramos‐Llordén, G. et al. High‐fidelity, accelerated whole‐brain submillimeter in vivo diffusion MRI using gSlider‐spherical ridgelets (gSlider‐SR). Magnetic Resonance in Medicine., 84(4) 1781-1795 16. Wu, W. et al. Diffusion acceleration with Gaussian process estimated reconstruction (DAGER). Magnetic resonance in medicine, 82(1), 107-125.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2021/1346