Parallel imaging reconstruction of spiral MRI using coil-specific gridding algorithm = 코일에 특화된 그리딩 알고리즘을 이용한 나선형 MRI에서의 병렬 영상 복원법

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Gridding algorithm from non-uniform to cartesian sampling pattern has been extensively investigated for many years within MR imaging community. Recently, using regularization and sparsity constraint, a generalized version of gridding algorithm called NIRVANA(Non-iterative Regularized reconstruction Algorithm for Non-CartesiAn MRI) has been proposed. However, the NIRVANA has been optimized as a gridding method for single coil, and its performance is not optimal for parallel imaging applications. The main contribution of this paper is to extend the NIRVANA such that it is optimally tuned for coil-diveristy information, which results in coil specific gridding scheme. Extended experiments confirmed that our method outperforms the conventional ones due to coil specific density compensation matrices.
Advisors
Ye, Jong-Chulresearcher예종철researcher
Description
한국과학기술원 : 바이오및뇌공학과,
Publisher
한국과학기술원
Issue Date
2011
Identifier
467645/325007  / 020083299
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 바이오및뇌공학과, 2011.2, [ iv, 33 p. ]

Keywords

MRI; prallel imaging; gridding; spiral; 나선형 MRI; 자기 공명 영상; 병렬 영상 복원; 그리딩

URI
http://hdl.handle.net/10203/27210
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=467645&flag=dissertation
Appears in Collection
BiS-Theses_Master(석사논문)
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