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Highly and Adaptively Undersampling Pattern for Pulmonary Hyperpolarized Xe-129 Dynamic MRI

文献类型：期刊论文

作者Zhou, Xin1,2; Ye, Chaohui1,2; Sun, Xianping1,2; Li, Haidong1,2; Xie, Junshuai1,2; Duan, Caohui1,2; Deng, He1,2; Xiao, Sa1,2
刊名IEEE TRANSACTIONS ON MEDICAL IMAGING
出版日期2019-05-01
卷号38期号:5页码:1240-1250
ISSN号0278-0062
关键词Highly and adaptively undersampling pattern (HUP) dynamic MRI hyperpolarized Xe-129 lung compressed sensing (CS)
DOI10.1109/TMI.2018.2882209
英文摘要Hyperpolarized (HP) gas (e.g., He-3 or Xe-129) dynamic MRI could visualize the lung ventilation process, which provides characteristics regarding lung physiology and pathophysiology. Compressed sensing (CS) is generally used to increase the temporal resolution of such dynamic MRI. Nevertheless, the acceleration factor of CS is constant, which results in difficulties in precisely observing and/or measuring dynamic ventilation process due to bifurcating network structure of the lung. Here, an adaptive strategy is proposed to highly undersample pulmonary HP dynamic k-space data, according to the characteristics of both lung structure and gasmotion. After that, a valid reconstruction algorithm is developed to reconstruct dynamic MR images, considering the low-rank, global sparsity, gasinflow effects, and joint sparsity. Both the simulation and the in vivo results verify that the proposed approach outperforms the state-of-the-art methods both in qualitative and quantitative comparisons. In particular, the proposed method acquires 33 frames within 6.67 s (more than double the temporal resolution of the recently proposed strategy), and achieves high-image quality [the improvements are 29.63%, 3.19%, 2.08%, and 13.03% regarding the mean absolute error (MAE), structural similarity index (SSIM), quality index based on local variance (QILV), and contrast-to-noise ratio (CNR) comparisons]. This provides accurate structural and functional information for early detection of obstructive lung diseases.
WOS关键词LOW-RANK ; PRIOR KNOWLEDGE ; GAS-FLOW ; HE-3 ; VENTILATION ; SPARSE ; RECONSTRUCTION ; ACQUISITION ; RECOVERY ; AIRWAYS
资助项目National Natural Science Foundation of China[81771917] ; National Natural Science Foundation of China[81625011] ; National Natural Science Foundation of China[81227902] ; National Natural Science Foundation of China[61471355] ; National Key R&D Program of China[2016YFC1304700] ; Key Research Program of Frontier Sciences, CAS[QYZDY-SSW-SLH018] ; National Program for Support of Eminent Professionals (National Program for Support of Top-notch Young Professionals)
WOS研究方向Computer Science ; Engineering ; Imaging Science & Photographic Technology ; Radiology, Nuclear Medicine & Medical Imaging
语种英语
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号WOS:000466914700014
资助机构National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Key R&D Program of China ; National Key R&D Program of China ; Key Research Program of Frontier Sciences, CAS ; Key Research Program of Frontier Sciences, CAS ; National Program for Support of Eminent Professionals (National Program for Support of Top-notch Young Professionals) ; National Program for Support of Eminent Professionals (National Program for Support of Top-notch Young Professionals) ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Key R&D Program of China ; National Key R&D Program of China ; Key Research Program of Frontier Sciences, CAS ; Key Research Program of Frontier Sciences, CAS ; National Program for Support of Eminent Professionals (National Program for Support of Top-notch Young Professionals) ; National Program for Support of Eminent Professionals (National Program for Support of Top-notch Young Professionals) ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Key R&D Program of China ; National Key R&D Program of China ; Key Research Program of Frontier Sciences, CAS ; Key Research Program of Frontier Sciences, CAS ; National Program for Support of Eminent Professionals (National Program for Support of Top-notch Young Professionals) ; National Program for Support of Eminent Professionals (National Program for Support of Top-notch Young Professionals) ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Key R&D Program of China ; National Key R&D Program of China ; Key Research Program of Frontier Sciences, CAS ; Key Research Program of Frontier Sciences, CAS ; National Program for Support of Eminent Professionals (National Program for Support of Top-notch Young Professionals) ; National Program for Support of Eminent Professionals (National Program for Support of Top-notch Young Professionals)
源URL[http://ir.wipm.ac.cn/handle/112942/13606]  
专题中国科学院武汉物理与数学研究所
通讯作者Zhou, Xin
作者单位1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
2.Chinese Acad Sci, State Key Lab Magnet Resonance & Atom & Mol Phys, Natl Ctr Magnet Resonance Wuhan, Wuhan Inst Phys & Math,Wuhan Natl Lab Optoelect, Wuhan 430071, Hubei, Peoples R China
推荐引用方式
GB/T 7714		 Zhou, Xin,Ye, Chaohui,Sun, Xianping,et al. Highly and Adaptively Undersampling Pattern for Pulmonary Hyperpolarized Xe-129 Dynamic MRI[J]. IEEE TRANSACTIONS ON MEDICAL IMAGING,2019,38(5):1240-1250.
APA Zhou, Xin.,Ye, Chaohui.,Sun, Xianping.,Li, Haidong.,Xie, Junshuai.,...&Xiao, Sa.(2019).Highly and Adaptively Undersampling Pattern for Pulmonary Hyperpolarized Xe-129 Dynamic MRI.IEEE TRANSACTIONS ON MEDICAL IMAGING,38(5),1240-1250.
MLA Zhou, Xin,et al."Highly and Adaptively Undersampling Pattern for Pulmonary Hyperpolarized Xe-129 Dynamic MRI".IEEE TRANSACTIONS ON MEDICAL IMAGING 38.5(2019):1240-1250.

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来源：武汉物理与数学研究所

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