High spatiotemporal resolution fMRI using partial separability model

Issue title: Frontiers in Biomedical Engineering and Biotechnology – Proceedings of the 4th International Conference on Biomedical Engineering and Biotechnology, 18–21 August 2015, Shanghai, China

Guest editors: Feng Liu, Dong-Hoon Lee, Ricardo Lagoa and Sandeep Kumar

Article type: Research Article

Authors: Shi, Caiyun^a | Xie, Guoxi^{a; b; *} | Zhang, Xiaoyong^{a; c} | Su, Shi^a | Zhang, Yongqin^d | Zhang, Lijuan^a | Qiu, Bensheng^c | Liu, Xin^{a; *}

Affiliations: [a] Shenzhen Key Laboratory for MRI, Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology of Chinese Academy of Sciences, Shenzhen, China | [b] Beijing Center for Mathematics and Information Interdisciplinary Sciences, Beijing, China | [c] Centers for Biomedical Engineering, College of Information Science and Technology, University of Science and Technology of China, Hefei, China | [d] School of Information Science and Technology, Northwest University, Xian, China

Correspondence: [*] Address for correspondence: Guoxi Xie, Shenzhen Key Laboratory for MRI, Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology of Chinese Academy of Sciences, Shenzhen, China. Tel.: +86-0755-86392287; Fax: +86-0755-86392245; E-mail: [email protected]. Xin Liu, Paul C. Lauterbur Research Center for Biomedical Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Tel.: +86-0755-86392287; Fax: +86-0755-86392299; E-mail: [email protected].

Keywords: fMRI (function magnetic resonance imaging), partial separability (PS) model, sparse sampling, BOLD

DOI: 10.3233/BME-151442

Journal: Bio-Medical Materials and Engineering, vol. 26, no. s1, pp. S1439-S1446, 2015