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Compressed Sensing for fMRI: Feasibility Study on the Acceleration of Non-EPI fMRI at 9.4T
Joint Authors
Han, Paul Kyu
Park, Sung-Hong
Kim, Seong-Gi
Ye, Jong Chul
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-24, 24 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-08-27
Country of Publication
Egypt
No. of Pages
24
Main Subjects
Abstract EN
Conventional functional magnetic resonance imaging (fMRI) technique known as gradient-recalled echo (GRE) echo-planar imaging (EPI) is sensitive to image distortion and degradation caused by local magnetic field inhomogeneity at high magnetic fields.
Non-EPI sequences such as spoiled gradient echo and balanced steady-state free precession (bSSFP) have been proposed as an alternative high-resolution fMRI technique; however, the temporal resolution of these sequences is lower than the typically used GRE-EPI fMRI.
One potential approach to improve the temporal resolution is to use compressed sensing (CS).
In this study, we tested the feasibility of k-t FOCUSS—one of the high performance CS algorithms for dynamic MRI—for non-EPI fMRI at 9.4T using the model of rat somatosensory stimulation.
To optimize the performance of CS reconstruction, different sampling patterns and k-t FOCUSS variations were investigated.
Experimental results show that an optimized k-t FOCUSS algorithm with acceleration by a factor of 4 works well for non-EPI fMRI at high field under various statistical criteria, which confirms that a combination of CS and a non-EPI sequence may be a good solution for high-resolution fMRI at high fields.
American Psychological Association (APA)
Han, Paul Kyu& Park, Sung-Hong& Kim, Seong-Gi& Ye, Jong Chul. 2015. Compressed Sensing for fMRI: Feasibility Study on the Acceleration of Non-EPI fMRI at 9.4T. BioMed Research International،Vol. 2015, no. 2015, pp.1-24.
https://search.emarefa.net/detail/BIM-1054300
Modern Language Association (MLA)
Han, Paul Kyu…[et al.]. Compressed Sensing for fMRI: Feasibility Study on the Acceleration of Non-EPI fMRI at 9.4T. BioMed Research International No. 2015 (2015), pp.1-24.
https://search.emarefa.net/detail/BIM-1054300
American Medical Association (AMA)
Han, Paul Kyu& Park, Sung-Hong& Kim, Seong-Gi& Ye, Jong Chul. Compressed Sensing for fMRI: Feasibility Study on the Acceleration of Non-EPI fMRI at 9.4T. BioMed Research International. 2015. Vol. 2015, no. 2015, pp.1-24.
https://search.emarefa.net/detail/BIM-1054300
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1054300