0327 ISMRM Abstract

BUDA-STEAM: A rapid parameter estimation method for T1, T2, M0, B0and B1using three-90° pulse sequence

0327 · Machine Learning for Quantitative Imaging · Tuesday, 18 May, 4:00 PM–6:00 PM · Concurrent 1

Accepted

Seohee So ¹, Byungjai Kim¹, HyunWook Park¹, Berkin Bilgic²

¹Korea Advanced Institute of Science and Technology, Daejeon, Korea, Republic of

²Athinoula A. Martinos Center for Biomedical Imaging, Cambridge, United States of America

Presenting Author: Seohee So

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References

1. International Society for Optics and Photonics, 2019. [8] Andersson, Jesper LR, Stefan Skare, and John Ashburner. "How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging." Neuroimage 20.2 (2003): 870-888. [9] Haldar, Justin P. "Low-rank modeling of local k-space neighborhoods (LORAKS) for constrained MRI." IEEE transactions on medical imaging 33.3 (2013): 668-681. [10] Lee, Dongwook, et al. "Acceleration of MR parameter mapping using annihilating filter‐based low rank hankel matrix (ALOHA)." Magnetic resonance in medicine 76.6 (2016): 1848-1864. [11] Mani, Merry, et al. "Multi‐shot sensitivity‐encoded diffusion data recovery using structured low‐rank matrix completion (MUSSELS)." Magnetic resonance in medicine 78.2 (2017): 494-507. [12] Uecker, Martin, et al. "ESPIRiT—an eigenvalue approach to autocalibrating parallel MRI: where SENSE meets GRAPPA." Magnetic resonance in medicine 71.3 (2014): 990-1001.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2021/0327