Keywords: Image Reconstruction, AI/ML Image Reconstruction
Motivation: Mesoscale MRI can provide intricate details of the brain anatomy. However, increasing the spatial resolution can dramatically reduce SNR while increasing the scan time.
Goal(s): We propose to achieve 180µm isotropic resolution T2-weighted imaging on a 7T scanner with significantly reduced acquisition time while preserving high SNR and robustness to motion.
Approach: Our approach leverages multi-view thick-slice acquisitions and an enhanced ROVER-MRI algorithm with multi-resolution hash encoding to reconstruct whole-brain isotropic resolution T2w images.
Results: We demonstrate the feasibility of acquiring 180 µm in-vivo T2w in ~17 mins (28x smaller voxels than the next best whole brain T2w scan).
Impact: ROVER-MRI with multi-resolution hash encoding facilitates efficient and seamless MRI super-resolution reconstruction, achieving rapid 180µm isotropic resolution while reducing scan time. Our method offers a substantial leap in acquiring mesoscale whole-brain T2w imaging with minimal noise and motion artifacts.
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