Multi‐shot diffusion‐weighted MRI reconstruction with magnitude‐based spatial‐angular locally low‐rank regularization (SPA‐LLR). Issue 5 (8th October 2019)

• Record Type: Journal Article
• Authors: Hu, Yuxin; Wang, Xiaole; Tian, Qiyuan; Yang, Grant; Daniel, Bruce; McNab, Jennifer; Hargreaves, Brian
• Is Part Of: Magnetic resonance in medicine. Volume 83:Issue 5(2020)
• Page Start: 1596
• Page End: 1607
• Publication Date: 2019-10-08
• Subjects: angular correlation -- diffusion‐weighted imaging -- locally low rank -- multi‐shot imaging -- phase variation; Nuclear magnetic resonance -- Periodicals; Electron paramagnetic resonance -- Periodicals; 616.07548
• DOI: 10.1002/mrm.28025
• Languages: English
• ISSNs: 0740-3194

Abstract

Abstract : Purpose: To resolve the motion‐induced phase variations in multi‐shot multi‐direction diffusion‐weighted imaging (DWI) by applying regularization to magnitude images. Theory and Methods: A nonlinear model was developed to estimate phase and magnitude images separately. A locally low‐rank regularization (LLR) term was applied to the magnitude images from all diffusion‐encoding directions to exploit the spatial and angular correlation. In vivo experiments with different resolutions and b‐values were performed to validate the proposed method. Results: The proposed method significantly reduces the noise level compared to the conventional reconstruction method and achieves submillimeter (0.8mm and 0.9mm isotropic resolutions) DWI with a b‐value of 1, 000 s / mm 2 and 1‐mm isotropic DWI with a b‐value of 2, 000 s / mm 2 without modification of the sequence. Conclusions: A joint reconstruction method with spatial‐angular LLR regularization on magnitude images substantially improves multi‐direction DWI reconstruction, simultaneously removes motion‐induced phase artifacts, and denoises images.