Journal
MAGNETIC RESONANCE IN MEDICINE
Volume 71, Issue 2, Pages 763-772Publisher
WILEY
DOI: 10.1002/mrm.24721
Keywords
diffusion tensor imaging; distributed compressed sensing; joint sparsity constraint; fast imaging
Funding
- National Natural Science Foundation of China [30900387, 61102043, 81120108012]
- Introduction of Innovative R&D Team Program of Guangdong Province [201001S0104811217]
- LCHT
- Basic Research Program of Shenzhen City [JC201005270311A, JC201104220219A]
- Hong Kong Research Grant Council [GRF HKU7826/10M]
- National Science Foundation [CBET-0846514]
- Div Of Chem, Bioeng, Env, & Transp Sys
- Directorate For Engineering [1265612] Funding Source: National Science Foundation
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PurposeDiffusion tensor imaging (DTI) is known to suffer from long acquisition time in the orders of several minutes or even hours. Therefore, a feasible way to accelerate DTI data acquisition is highly desirable. In this article, the feasibility and efficacy of distributed compressed sensing to fast DTI is investigated by exploiting the joint sparsity prior in diffusion-weighted images. MethodsFully sampled DTI datasets were obtained from both simulated phantom and experimental heart sample, with diffusion gradient applied in six directions. The k-space data were undersampled retrospectively with acceleration factors from 2 to 6. Diffusion-weighted images were reconstructed by solving an l(2)-l(1) norm minimization problem. Reconstruction performance with varied signal-to-noise ratio and acceleration factors were evaluated by root-mean-square error and maps of reconstructed DTI indices. ResultsSuperiority of distributed compressed sensing over basic compressed sensing was confirmed with simulation, and the reconstruction accuracy was influenced by signal-to-noise ratio and acceleration factors. Experimental results demonstrate that DTI indices including fractional anisotropy, mean diffusivities, and orientation of primary eigenvector can be obtained with high accuracy at acceleration factors up to 4. ConclusionDistributed compressed sensing is shown to be able to accelerate DTI and may be used to reduce DTI acquisition time practically. Magn Reson Med 71:763-772, 2014. (c) 2013 Wiley Periodicals, Inc.
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