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Abstract #2447

Low-rank Constrained Reacquired-navigator reconstruction of multi-shot diffusion weighted image

Jiantai Zhou1, Huabin Zhang1, Penghui Luo1, Changliang Wang1, Fulang Qi1, Kecheng Yuan1, Jiaojiao Hu 1, and Bensheng Qiu1
1Medical Imaging Center, Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China

Synopsis

Keywords: Diffusion Reconstruction, Diffusion/other diffusion imaging techniques, Low-rank, Phase correction,Reacquired-navigator

Motivation: Multi-Shot Diffusion-Weighted Imaging (MS-DWI) requires additional phase correction data and parallel imaging prescans to respectively suppress artifacts caused by positive-negative readout gradient and motion-induced phase variation.

Goal(s): Our objective is to mitigate two common artifacts without the need for additional linear-phase corrections and parallel imaging prescans.

Approach: We propose subtle modifications to the dual spin-echo DW sequence 1, where positive and negative gradients are employed to separately acquire complete navigator-echo data for low-rank constrained reconstruction.

Results: Simulation studies and in vivo brain imaging experiments demonstrate that the proposed method effectively mitigates image artifacts caused by phase variations, resulting in better image quality.

Impact: This paper presents a novel artifact correction method applied to spin-echo DW sequence, offering an effective prescan-free acquisition and reconstruction strategy that mitigates the impact of prescan data mismatch and additional prescan time consumption.

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