Development of statistical parametric mapping toolbox for near infrared spectroscopy = 근적외선 분광신호와 기능자기공명영상의 동시측정 및 통계처리를 위한 statistical parametric mapping toolbox 개발

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Even though there exists a powerful statistical parametric mapping (SPM) tool for functional magnetic resonance imaging (fMRI), similar public domain tools are not available for near infrared spectroscopy (NIRS). In this paper, we describe a new public domain statistical toolbox called NIRS-SPM for quantitative analysis of NIRS signals. Mainly, NIRS-SPM statistically analyzes the NIRS data using general linear model (GLM) and makes inferences as the excursion probability which comes from inhomogeneous Gaussian random field that are interpolated from the spare measurement. In order to obtain the correct inference, NIRS-SPM offers the pre-coloring and pre-whitening method for temporal correlation estimation. For simultaneous recording NIRS with fMRI, the spatial mapping between fMRI images and real coordinates in 3-D digitizer is estimated using Horn`s algorithm. These powerful tools allow us the super-resolution localization of the brain activation which is not possible using the conventional NIRS analysis tools.
Advisors
Ye, Jong-Chulresearcher예종철researcher
Description
한국과학기술원 : 바이오및뇌공학과,
Publisher
한국과학기술원
Issue Date
2008
Identifier
296169/325007  / 020063600
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 바이오및뇌공학과, 2008.2, [ vii, 41 p. ]

Keywords

near infrared spectroscopy; general linear model; statistical parametric mapping; excursion probability; tube formula; 근적외선 분광신호; 일반선형모형; 통계처리; near infrared spectroscopy; general linear model; statistical parametric mapping; excursion probability; tube formula; 근적외선 분광신호; 일반선형모형; 통계처리

URI
http://hdl.handle.net/10203/27156
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=296169&flag=dissertation
Appears in Collection
BiS-Theses_Master(석사논문)
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