Improved Susceptibility Weighted Imaging methodusing multi-echo acquisition다중 에코 획득 방법을 활용한 향상된 Susceptibility Weighted Imaging 기법

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Susceptibility weighted imaging (SWI) emphasizes the magnetic susceptibility differences between brain tissues. However, the method is also sensitive to non-local susceptibility effects from background field inhomogeneity, particularly in areas near air-tissue interfaces. These large-scale effects often manifest as signal artifacts in areas such as the frontal and temporal lobes. In this article, new acquisition and post-processing approaches are proposed to remove background field inhomogeneity artifacts in both magnitude and phase data for improved SWI coverage. The proposed method acquires three echoes in a 3D gradient echo (GRE) sequence, with a field compensation gradient (z-shim gradient) applied to the third echo. The artifacts in the magnitude data are compensated by signal estimation from all three echoes. The artifacts in phase signals are removed by modeling the background phase distortions using Gaussians. The method was applied in vivo and compared with conventional SWI. The results demonstrate that this method successfully compensates for background field inhomogeneity artifacts in magnitude and phase images, and improves the quality of SWI images. In particular, vessels in frontal lobe, which were not observed in conventional SWI, were identified in the proposed method.
Advisors
Park, Hyun-Wookresearcher박현욱
Description
한국과학기술원 : 전기및전자공학과,
Publisher
한국과학기술원
Issue Date
2014
Identifier
568559/325007  / 020065098
Language
eng
Description

학위논문(박사) - 한국과학기술원 : 전기및전자공학과, 2014.2, [ vi, 90 p. ]

Keywords

compensation gradient; z-shim; magnetic susceptibility; 가우시안 모델링 제거; field inhomogeneity에 의해 발생한 artifact; 보상 gradient; field inhomogeneity induced artifact; Gaussian modeling removal; magnetic susceptibility; z-shim

URI
http://hdl.handle.net/10203/196523
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=568559&flag=dissertation
Appears in Collection
EE-Theses_Ph.D.(박사논문)
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