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Undersampling trajectory design for compressed sensing based dynamic contrast-enhanced magnetic resonance imaging

[+] Author Affiliations
Duan-Duan Liu

Chinese University of Hong Kong, Joint Research Centre for Biomedical Engineering, Tai Po Road, Shatin, New Territories, Hong Kong

Dong Liang

Chinese Academy of Science, Paul C. Lauterbur Research Centre for Biomedical Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen 518055, China

Chinese Academy of Science, Key Laboratory for Biomedical Informatics and Health Engineering, 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen 518055, China

Chinese Academy of Science, Shenzhen Key Laboratory for MRI, 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen 518055, China

Na Zhang

Chinese Academy of Science, Paul C. Lauterbur Research Centre for Biomedical Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen 518055, China

Chinese Academy of Science, Key Laboratory for Biomedical Informatics and Health Engineering, 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen 518055, China

Chinese Academy of Science, Shenzhen Key Laboratory for MRI, 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen 518055, China

Xin Liu

Chinese Academy of Science, Paul C. Lauterbur Research Centre for Biomedical Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen 518055, China

Chinese Academy of Science, Key Laboratory for Biomedical Informatics and Health Engineering, 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen 518055, China

Chinese Academy of Science, Shenzhen Key Laboratory for MRI, 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen 518055, China

Yuan-Ting Zhang

Chinese University of Hong Kong, Joint Research Centre for Biomedical Engineering, Tai Po Road, Shatin, New Territories, Hong Kong

Chinese Academy of Science, Key Laboratory for Biomedical Informatics and Health Engineering, 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen 518055, China

Chinese Academy of Science, SIAT-Institute of Biomedical and Health Engineering, 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen 518055, China

J. Electron. Imaging. 24(1), 013017 (Jan 20, 2015). doi:10.1117/1.JEI.24.1.013017
History: Received September 24, 2013; Accepted December 17, 2014
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Abstract.  Compressed sensing has the potential to address the challenge of simultaneously requiring high temporal and spatial resolution in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI), by randomly undersampling the k-space with a predesigned trajectory. However, the traditional variable density (VD) design scheme includes inherent randomness since many probability density functions (PDFs) correspond to a given acceleration factor and one fixed PDF can generate different trajectories. This randomness may translate to an uncertainty in kinetic parameter estimation. We first evaluate how the one-to-many mapping in trajectory design influences DCE parameter estimation when high reduction factors are used. Then we propose a robust design scheme by adaptively segmenting k-space into low- and high-frequency domains considering the specific characteristics for different subjects and only applying the VD scheme in the high-frequency domain. Simulation results demonstrate high accuracy and robustness compared to the VD design.

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Citation

Duan-Duan Liu ; Dong Liang ; Na Zhang ; Xin Liu and Yuan-Ting Zhang
"Undersampling trajectory design for compressed sensing based dynamic contrast-enhanced magnetic resonance imaging", J. Electron. Imaging. 24(1), 013017 (Jan 20, 2015). ; http://dx.doi.org/10.1117/1.JEI.24.1.013017


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