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Rapid Diffusion Magnetic Resonance Imaging Using Slice-Interleaved Encoding

delete2022-10-01
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OA
AI
T
Tiantian Xu
Y
Ye Wu
Y
Yoonmi Hong
S
Sahar Ahmad
K
Khoi Minh Huynh
Z
Zhixing Wang
W
Weili Lin
W
Wei‐Tang Chang
P
Pew‐Thian Yap *
DOI:10.1016/j.media.2022.102548delete
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Abstract

Abstract

En 中文
In this paper, we present a robust reconstruction scheme for diffusion MRI (dMRI) data acquired using sliceinterleaved diffusion encoding (SIDE). When combined with SIDE undersampling and simultaneous multi-slice (SMS) imaging, our reconstruction strategy is capable of significantly reducing the amount of data that needs to be acquired, enabling high-speed diffusion imaging for pediatric, elderly, and claustrophobic individuals. In contrast to the conventional approach of acquiring a full diffusion-weighted (DW) volume per diffusion wavevector, SIDE acquires in each repetition time (TR) a volume that consists of interleaved slice groups, each group corresponding to a different diffusion wavevector. This strategy allows SIDE to rapidly acquire data covering a large number of wavevectors within a short period of time. The proposed reconstruction method uses a diffusion spectrum model and multi-dimensional total variation to recover full DW images from DW volumes that are sliceundersampled due to unacquired SIDE volumes. We formulate an inverse problem that can be solved efficiently using the alternating direction method of multipliers (ADMM). Experiment results demonstrate that DW images can be reconstructed with high fidelity even when the acquisition is accelerated by 25 folds.
Keywords:
Diffusion MRI
Slice-Interleaved Diffusion Encoding (SIDE)
Fast MRI

Journal

Medical Image Analysis cover
Medical Image Analysis
IF:
11.8
Papers:
3.9K
Citations:
2.4W

Organization

U
university of north carolina
Scholars:
7.4W
Papers: 6.5W
Citations: 93
U
University of North Carolina Chapel Hill
Scholars:
3.9W
Papers: 3.1W
Citations: 46
Cited Papers

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