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2D CAIPI accelerated 3D multi-slab diffusion weighted EPI combined with qModeL reconstruction for fast high resolution microstructure imaging.

Authors :
Lee, Chu-Yu
Mani, Merry
Source :
Magnetic Resonance Imaging (0730725X). Sep2024, Vol. 111, p57-66. 10p.
Publication Year :
2024

Abstract

To develop acceleration strategies for 3D multi-slab diffusion weighted imaging (3D ms-DWI) for enabling applications that require simultaneously high spatial (1 mm isotropic) and angular (> 30 directions) resolutions. 3D ms-DWI offers high SNR-efficiency, with the ability to achieve high isotropic spatial resolution, yet suffers from long scan-times for studies requiring high angular resolutions. We develop 6D k-q space acceleration strategies to reduce the scan-time. Specifically, we develop non-uniform 3D k y - k z under-sampling employing a shot-selective 2D CAIPI sampling approach. To achieve inter-shot phase-compensation, 2D navigators were employed that utilize the same CAIPI trajectory. An iterative model-based 3D multi-shot reconstruction was designed by incorporating phase into the forward encoding process. Additionally, the shot-selective non-uniform k y - k z CAIPI acceleration was randomized along the q-dimension. The 3D model-based multi-shot reconstruction is then extended to a joint reconstruction that simultaneously reconstructs all the q-space points, with the help of a spatial total variation and deep-learned q-space regularization. The proposed reconstruction is shown to achieve adequate phase-compensation in both 2D CAIPI accelerated and additional k y - k z under-sampled cases. Using retrospective under-sampling experiments, we show that k-q accelerations close a factor of 12 can be achieved with a reconstruction error < 3% for both single and multi-shell data. This translates to a scan-time reduction by 3-fold for experiments with simultaneously high spatial and angular resolutions. The proposed method facilitates the utilization of 3D ms-DWI for simultaneously high k-q resolution applications with close to 3× reduced scan-time. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0730725X
Volume :
111
Database :
Academic Search Index
Journal :
Magnetic Resonance Imaging (0730725X)
Publication Type :
Academic Journal
Accession number :
177877765
Full Text :
https://doi.org/10.1016/j.mri.2024.04.003