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Abstract #4194

Aliasing Reduction and Resolution Recovery in Accelerated 3D Multi-Slab DWI with Improved Sliding-Slab Profile Encoding (iSLIPEN)

Xiaorui Xu1, Shihui Chen2,3, Yi Li2, Chenglang Yuan2, Hailin Xiong2, Liyuan Liang2,3, Tianbaige Liu2, Nan-kuei Chen4, and Hing-Chiu Chang2,3
1Diagnostic Radiology, The University of Hong Kong, Hong Kong, Hong Kong, 2Department of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong, Hong Kong, 3Multi-Scale Medical Robotics Center, Hong Kong, Hong Kong, 4Department of Biomedical Engineering, The University of Arizona, Tucson, AZ, United States

Synopsis

Keywords: Diffusion Reconstruction, Diffusion Reconstruction, 3D Multi-Slab DWI, Sliding-Slab Profile Encoding, Structured Low-Rank, 2D CAIPIRINHA

Motivation: Previously proposed iSLIPEN is a promising technique to avoid slab-boundary-artifacts in 3D multi-slab DWI. However, it suffers from manifest resolution loss and residual aliasing because of using 2D partial-Fourier and regular under-sampling pattern along ky direction.

Goal(s): To propose a modified sampling-pattern and refine the reconstruction-model for iSLIPEN to recover the resolution and reduce the residual aliasing.

Approach: Structured-low-rank and 2D-CAIPIRINHA were incorporated into iSLIPEN framework to reconstruct the data acquired with only one third of gold standard.

Results: The modified iSLIPEN can not only avoid slab-boundary-artifacts, but can also recover the resolution and reduce residual aliasing, with comparable quality to gold standard.

Impact: 3D isotropic high-resolution DWI without suffering from slab boundary artifacts, loss of resolution and residual aliasing can be robustly achieved by our method, therefore benefiting the neuroscience study in evaluating crossing and kissing fibers.

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