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BioMed Research International
Volume 2015, Article ID 131926, 24 pages
http://dx.doi.org/10.1155/2015/131926
Research Article

Compressed Sensing for fMRI: Feasibility Study on the Acceleration of Non-EPI fMRI at 9.4T

1Bio Imaging and Signal Processing Lab, Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), 373-1 Guseong-dong, Yuseong-gu, Daejeon 305-701, Republic of Korea
2Magnetic Resonance Imaging Lab, Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), 373-1 Guseong-dong, Yuseong-gu, Daejeon 305-701, Republic of Korea
3Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon 440-746, Republic of Korea
4Department of Biomedical Engineering, Sungkyunkwan University (SKKU), Suwon 440-746, Republic of Korea

Received 22 August 2014; Accepted 5 November 2014

Academic Editor: Zhengchao Dong

Copyright © 2015 Paul Kyu Han et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Paul Kyu Han, Sung-Hong Park, Seong-Gi Kim, and Jong Chul Ye, “Compressed Sensing for fMRI: Feasibility Study on the Acceleration of Non-EPI fMRI at 9.4T,” BioMed Research International, vol. 2015, Article ID 131926, 24 pages, 2015. https://doi.org/10.1155/2015/131926.