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Abstract #2406

Refined-subspaces for two iteration single shot T2-Shuffling using dictionary matching

Yamin Arefeen1, Nick Arango1, Siddharth Iyer1,2, Borjan Gagoski3,4, Kawin Setsompop2,4,5, Jacob White1, and Elfar Adalsteinsson1,5,6

1Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States, 2Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States, 3Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA, United States, 4Department of Radiology, Harvard Medical School, Boston, MA, United States, 5Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States, 6Institute for Medical Engineering and Science, Cambridge, MA, United States

Half-Fourier-acquisition-single-shot-turbo-spin-echo (HASTE) serves as a valuable tool for fetal MRI as it is robust to fetal motion and produces images with T2-weighted contrast. However, due to T2-decay and T1-recovery during the acquisition, clinically applied HASTE with sub-180° refocusing pulses and partial-fourier readouts, often yield images with compromised diagnostic quality compared to multi-shot T2-weighted imaging. T2-shuffling exploits a forward model of signal evolution to mitigate blurring and improve contrast in image reconstruction. We propose single-shot imaging with a refined-subspace, iterative application of T2-shuffling, with demonstration in numerical models, that reduces blurring artifacts and improves image contrast in comparison to conventional HASTE.

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