Lixia Yuan

Associate researcher

Tel:18868818303

E-mail: yuanlixia@sina.cn

Research direction: Data analysis of resting-state functional MRI and the physics of MRI

Education Background:

2006.09---2011.06: China Medical University, Biomedical Engineering (Bachelor)

2011.09---2018.06: Zhejiang University, Biomedical Engineering (Ph.D.)

Scientific research

Research projects:

1.Fast scan and data processing for quantitative myelin imaging of the whole brain (81371518)，the national natural science foundation of China，2014/01-2017/12, finished, participated.

2. Magnetic resonance imaging of brain anatomical and functional recovery in patients with diabetes and cerebral infarction (81271530)，the national natural science foundation of China，2013/01-2016/12，finished, participated.

Achievements:

A. Journal papers

(1) Yuan L X, Wang J B, Zhao N, Li Y Y., Ma Y, Liu D Q, et al. Intra-and inter-scanner reliability of scaled subprofile model of principal component analysis on ALFF in resting-state fMRI under eyes open and closed conditions. Frontiers in neuroscience. 2018;12:311.

(2) Zhao N, Yuan L X, Jia X Z, Deng X P, He H J, Zhong J H et al. Intra-and inter-scanner reliability of voxel-wise whole-brain analytic metrics for resting state fMRI. Frontiers in Neuroinformatics. 2018;12:54.

(3) Yuan L X, Yu X, Zhang M, Jiang Q, Du YP. Correction of T1 Effects in Calculation of Relative Recirculation in Ischemic Stroke Patients. J Med Biol Eng. 2016;36(5):740–50.

(4) Yu X, Yuan L X, Jackson A, Sun J, Huang P, Xu X, et al. Prominence of medullary veins on susceptibility-weighted images provides prognostic information in patients with subacute stroke. Am J Neuroradiol. 2016;37(3):423–9.

(5) Yu X, Song R, Jiaerken Y, Yuan L X, Huang P, Lou M, et al. White matter injury induced by diabetes in acute stroke is clinically relevant: A preliminary study. Diabetes Vasc Dis Res. 2017 Jan;14(1):40–6.

(6) Sun J, Yu X, Jiaerken Y, Song R, Huang P, Wang C, Yuan L X, et al. The relationship between microvasculature in white matter hyperintensities and cognitive function. Brain Imaging Behav. 2017 Apr;11(2):503–11.

(7) Wang Y, Chen Z, Wang J, Yuan L X, Xia L, Liu F. Improved k-t PCA Algorithm Using Artificial Sparsity in Dynamic MRI. Comput Math Methods Med. 2017; 2017:4816024.

(8) Wang J, Chen Z, Wang Y, Yuan L X, Xia L. A Feasibility Study of Geometric-Decomposition Coil Compression in MRI Radial Acquisitions. Comput Math Methods Med. 2017; 2017:7685208.

B. Conference paper

(1) Yuan L X, Yuan L, He H, Zhong J, Zang Y F. A comparison between amplitude of low frequency fluctuation calculation methods based on R2* signal and traditional T2*-weighted signal, ISMRM-ESMRMB2018. Paris, France, 2018.06.16-06.21.

(2) Yuan L X, Wang J, Zhao N, Li Y, Ma Y, Liu D, He H, Zhong J, Zang Y. Intra- and inter-scanner reliability of scaled subprofile model of principal component analysis in resting-state fMRI. ISMRM-ESMRMB2018, Paris, France, 2018.06.16-06.21.

(3) Yuan L X, Zhao N, Zang Y F. Segmental degree centrality in resting-state functional MRI. Rome, Italy, 219.06.09-06.13.