Automatic voxel positioning for single voxel spectroscopy = 자기공명 분광법을 위한 자동 위치선정 기법

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During the typical acquisition of single-voxel Magnetic Resonance Spectroscopy (MRS), MR technologists select the corresponding voxel-of-interest (VOI) manually, which induces some degree of variability. Several automatic VOI positioning methods using rigid registration have been proposed to address the issue for longitudinal scans of the same subject. This approach can be generalized to multi-subject scans, by utilizing non-rigid registrations such as affine and non-linear to accommodate anatomical variability. In this paper, we present the implementation and outcome of a scheme for automatic voxel placement in single-voxel spectroscopy using non-linear registration. The scheme is based on transfer of voxels prescribed on an atlas to the subject images during the scanning session and allows fast and reliable inter-subject placement of voxels for spectroscopy measurements. We have performed validations of our proposed method using the datasets from several previously published studies. In addition, 1H spectra of various volumes of interest (VOIs) from multiple subjects were measured with the Siemens 3T scanner at KAIST as well as multiple Siemens and Philips scanners in the United States using the proposed automated VOI placements to validate the performance across different environments. MRS data acquired using automatic placement produced spectral quality comparable to manual placement, while yielding equivalent or superior intra- and inter-subject spatial consistency over manual placement.
Advisors
Park, Hyun Wookresearcher박현욱researcher
Description
한국과학기술원 :전기및전자공학부,
Publisher
한국과학기술원
Issue Date
2018
Identifier
325007
Language
eng
Description

학위논문(박사) - 한국과학기술원 : 전기및전자공학부, 2018.8,[viii, 110 p. :]

Keywords

MRS▼aautomation▼aregistration▼aprescription▼ageneralized dice coefficient; 자기공명분광법▼a자동화▼a위치설정▼a의료▼ageneralized dice coefficient

URI
http://hdl.handle.net/10203/265203
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=828196&flag=dissertation
Appears in Collection
EE-Theses_Ph.D.(박사논문)
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