Abstract #2538
Image Reconstruction for Accelerated Diffusion Tensor Imaging Using Joint Low-Rank and Sparsity Constraints
Sen Ma 1 , Xiaodong Ma 2 , and Hua Guo 2
1
Department of Electronic Engineering,
Tsinghua University, Beijing, China,
2
Center
for Biomedical Imaging Research, Department of
Biomedical Engineering, School of Medicine, Tsinghua
University, Beijing, China
This paper proposes an effective joint reconstruction
method to accelerate diffusion tensor imaging
acquisition, combining the low-rank structure and
sparsity constraints of the correlated
diffusion-weighted images. We show that by jointly
enforcing low-rank and sparsity constraints, we can
achieve high reduction factor of diffusion tensor
imaging acquisition while maintaining rather accurate
reconstruction result.
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