Accelerating MR Parameter Mapping Using Nonlinear Compressive Manifold Learning and Regularized Pre-Imaging-Reference-Cited by-同舟云学术

Accelerating MR Parameter Mapping Using Nonlinear Compressive Manifold Learning and Regularized Pre-Imaging

Author:

Zhou Yihang¹^ORCID,Wang Haifeng²^ORCID,Liu Yuanyuan³^ORCID,Liang Dong⁴^ORCID,Ying Leslie⁵^ORCID

Affiliation:

1. Research Department, Hong Kong Sanatorium & Hospital, Hong Kong

2. Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Science, China

3. Paul C. Lauterbur Research Centre for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Science, China

4. Paul C. Lauterbur Research Centre for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Science, Shenzhen, China

5. Department of Electrical Engineering and Department of Biomedical Engineering, The State University of New York at Buffalo, USA

Funder

National Natural Science Foundation of China

Strategic Priority Research Program of Chinese Academy of Sciences

High-level Talent Program

Pearl River Talent Plan of Guangdong Province

Key Laboratory for Magnetic Resonance and Multimodality Imaging of Guangdong Province

Science and Technology Plan Program of Guangzhou

Key Field R&D Program of Guangdong Province

Basic and Applied Basic Research Foundation of Guangdong Province

Shenzhen Science and Technology Program

Shenzhen Peacock Plan Team Program

Innovation and Technology Commission of the Government of Hong Kong SAR

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

Reference81 articles.

3. Dynamic imaging by temporal modeling with principle component analysis;gupta;Proc Int Symp Magn Reson Med,2001

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