Compressed sensing for fMRI at high field = 고자장 뇌기능 자기공명영상 압축 센싱

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Conventional functional magnetic resonance imaging (fMRI) technique known as gradient recalled echo (GRE) echo-planar imaging (EPI) is too sensitive to image distortion and degradation caused by local magnetic field inhomogeneity at high magnetic fields. Pass-band balanced steady state free precession (bSSFP) has been proposed as an alternative high-resolution fMRI technique, however, the temporal resolution of bSSFP fMRI is lower than the typically used GRE-EPI fMRI. One potential approach to improve the temporal resolution of bSFFP fMRI is to use compressed sensing (CS). Recently, several fMRI studies have applied CS to GRE-EPI and spiral scan, although it is known that GRE-EPI generally suffers from the contribution of magnetic field inhomogeneity which can degrade the performance of CS algorithms. Although suffering from banding artifacts, bSSFP utilizes different radio frequency (RF) excitations for each K-space lines, thus may work better with CS algorithms than GRE-EPI. In this study, we tested the feasibility of a CS algorithm, called k-t FOCUSS, for both GRE and bSSFP fMRI at 9.4T using the model of rat somatosensory stimulation. Experimental results show k-t FOCUSS algorithm with sampling reduction by a factor of 4 works well for both GRE and bSSFP fMRI at high field. The combination of CS algorithm with bSSFP may be a good solution for improving the temporal resolution of fMRI at high field.
Advisors
Ye, Jong-Chulresearcher예종철Park, Sung-Hong박성홍
Description
한국과학기술원 : 바이오및뇌공학과,
Publisher
한국과학기술원
Issue Date
2013
Identifier
514950/325007  / 020104496
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 바이오및뇌공학과, 2013.2, [ x, 77 p. ]

Keywords

High Magnetic Field; Pass-Band bSSFP; Compressed Sensing; 고자장; Pass-Band bSSFP; 뇌기능 자기공명영상; 압축 센싱; fMRI

URI
http://hdl.handle.net/10203/179735
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=514950&flag=dissertation
Appears in Collection
BiS-Theses_Master(석사논문)
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