Abstract #2406

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

Yamin Arefeen¹, Nick Arango¹, Siddharth Iyer^1,2, Borjan Gagoski^3,4, Kawin Setsompop^2,4,5, Jacob White¹, and Elfar Adalsteinsson^1,5,6

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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