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Abstract #0695

Accelerated Romer-EPTI using physics-driven, joint x-q attention-network regularized reconstruction for fast mesoscale diffusion MRI

Kaibo Tang1,2, Zijing Dong1,3, Lawrence L. Wald1,3,4, and Fuyixue Wang1,3
1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 2Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, 3Department of Radiology, Harvard Medical School, Charlestown, MA, United States, 4Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States

Synopsis

Keywords: Diffusion Reconstruction, Diffusion Reconstruction

Motivation: Mesoscale dMRI will enable investigation of brain’s fine-scale structures.

Goal(s): We aim to achieve fast mesoscale distortion-free in-vivo dMRI (<= 500-µm-iso) within clinically acceptable time.

Approach: To accelerate mesoscale dMRI acquisition based on Romer-EPTI, we develop a novel physics-driven, spatial and q-space (x-q) attention-network regularized reconstruction combined with a x-q undersampling strategy to leverage the data redundancy in the joint x-q domain. Two x-q attention denoiser networks, one in image domain and the other in feature domain, are developed as plug-and-play priors.

Results: We demonstrate four-fold accelerated Romer-EPTI capable of acquiring 500-µm isotropic dMRI under 20 minutes on clinical 3T scanners.

Impact: The proposed physics-driven, joint spatial and q-space attention-network regularized reconstruction enables accelerated Romer-EPTI, achieving mesoscale dMRI at 500-µm isotropic resolution within 20 minutes.

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Keywords