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Accelerating Brain 3D T1-Weighted Turbo Field Echo MRI Using Compressed Sensing-Sensitivity Encoding (CS-SENSE)

文献类型：期刊论文

作者Duan, Yunyun3,4; Zhang, Jie3,4; Zhuo, Zhizheng3,4; Ding, Jinli3,4; Ju, Rongkai5; Wang, Jiazheng5; Ma, Tingting3,4; Haller, Sven6,7; Liu, Yong1,2,8,9; Liu, Yaou3,4
刊名EUROPEAN JOURNAL OF RADIOLOGY
出版日期2020-10-01
卷号131页码:8
ISSN号0720-048X
关键词Compressed sensing Three-dimensional T1-weighted turbo field echo Multiple sclerosis Alzheimer's disease
DOI10.1016/j.ejrad.2020.109255
通讯作者Liu, Yaou(liuyaou@bjith.org)
英文摘要Purpose: To evaluate the clinical application of the accelerated 3D T1-weighted turbo field echo (T1W-TFE) using the compressed sensing-sensitivity encoding (CS-SENSE) and identify the appropriate acceleration factor. Methods: 33 healthy controls (HC), 10 multiple sclerosis (MS) and 10 Alzheimer's disease (AD) patients were prospectively recruited. A conventional 3D T1W-TFE sequence and accelerated sequences with CS-SENSE factors of 3, 4.5, 6 and with SENSE factors of 3, 4.5 were acquired for all participants on a 3.0T MR system. The visual evaluation was independently assessed by two experienced radiologists. Quantitative image quality metrics and intraclass correlation coefficients (ICCs) between the conventional and the accelerated sequences were performed at the voxel level. Group comparisons were performed between HC and AD or MS patients. Results: There were no significant differences in the visual image quality metrics between conventional sequence and CS-SENSE factor of 3. The sequences with CS-SENSE factor of 6 and SENSE factors of 3, 4.5 showed significantly decreased overall image quality. The ICC values based on the voxel level of each accelerated scan and conventional scan were high (>0.9, 85.2%). For different accelerated sequences, AD and MS patients showed consistent results with the conventional sequence in gray matter atrophy when compared to HC. Conclusions: CS-SENSE factor of 3 is the appropriate parameter to accelerate the 3D T1W-TFE (65% time reduction) with preserved visual image quality. The voxel-based analysis demonstrated high ICCs for brain volume measurements in the majority of brain regions, implying the feasibility of the accelerated technique.
WOS关键词SIGNAL-TO-NOISE ; MULTIPLE-SCLEROSIS ; COMBINATION ; DIAGNOSIS ; ATROPHY
资助项目National Natural Science Foundation of China[81870958] ; National Natural Science Foundation of China[81571631] ; Special pediatric project of Beijing Hospitals Authority[XTYB201831]
WOS研究方向Radiology, Nuclear Medicine & Medical Imaging
语种英语
出版者ELSEVIER IRELAND LTD
WOS记录号WOS:000580629500043
资助机构National Natural Science Foundation of China ; Special pediatric project of Beijing Hospitals Authority
源URL[http://ir.ia.ac.cn/handle/173211/41754]  
专题自动化研究所_脑网络组研究中心
通讯作者Liu, Yaou
作者单位1.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Inst Automat, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Chinese Acad Sci, Beijing, Peoples R China
3.Capital Med Univ, Beijing Tiantan Hosp, Dept Radiol, Beijing 100070, Peoples R China
4.China Natl Clin Res Ctr Neurol Dis, Tiantan Image Res Ctr, Beijing, Peoples R China
5.Philips Healthcare, Clin Sci, Beijing, Peoples R China
6.Univ Hosp Geneva, Dept Imaging & Med Informat, Geneva, Switzerland
7.Univ Geneva, Fac Med, Geneva, Switzerland
8.Chinese Acad Sci, Inst Automat, Brainnetome Ctr, Beijing, Peoples R China
9.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Duan, Yunyun,Zhang, Jie,Zhuo, Zhizheng,et al. Accelerating Brain 3D T1-Weighted Turbo Field Echo MRI Using Compressed Sensing-Sensitivity Encoding (CS-SENSE)[J]. EUROPEAN JOURNAL OF RADIOLOGY,2020,131:8.
APA Duan, Yunyun.,Zhang, Jie.,Zhuo, Zhizheng.,Ding, Jinli.,Ju, Rongkai.,...&Liu, Yaou.(2020).Accelerating Brain 3D T1-Weighted Turbo Field Echo MRI Using Compressed Sensing-Sensitivity Encoding (CS-SENSE).EUROPEAN JOURNAL OF RADIOLOGY,131,8.
MLA Duan, Yunyun,et al."Accelerating Brain 3D T1-Weighted Turbo Field Echo MRI Using Compressed Sensing-Sensitivity Encoding (CS-SENSE)".EUROPEAN JOURNAL OF RADIOLOGY 131(2020):8.

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来源：自动化研究所

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