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Proceedings Paper

NIRS-SPM: statistical parametric mapping for near infrared spectroscopy
Author(s): Sungho Tak; Kwang Eun Jang; Jinwook Jung; Jaeduck Jang; Yong Jeong; Jong Chul Ye
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Paper Abstract

Even though there exists a powerful statistical parametric mapping (SPM) tool for 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. Specifically, NIRS-SPM statistically analyzes the NIRS data using GLM and makes inference as the excursion probability which comes from the random field that are interpolated from the sparse measurement. In order to obtain correct inference, NIRS-SPM offers the pre-coloring and pre-whitening method for temporal correlation estimation. For simultaneous recording NIRS signal with fMRI, the spatial mapping between fMRI image and real coordinate in 3-D digitizer is estimated using Horn's algorithm. These powerful tools allows us the super-resolution localization of the brain activation which is not possible using the conventional NIRS analysis tools.

Paper Details

Date Published: 14 February 2008
PDF: 8 pages
Proc. SPIE 6850, Multimodal Biomedical Imaging III, 68500T (14 February 2008); doi: 10.1117/12.762291
Show Author Affiliations
Sungho Tak, Korea Advanced Institute of Science and Technology (South Korea)
Kwang Eun Jang, Korea Advanced Institute of Science and Technology (South Korea)
Jinwook Jung, Korea Advanced Institute of Science and Technology (South Korea)
Jaeduck Jang, Korea Advanced Institute of Science and Technology (South Korea)
Yong Jeong, Korea Advanced Institute of Science and Technology (South Korea)
Jong Chul Ye, Korea Advanced Institute of Science and Technology (South Korea)


Published in SPIE Proceedings Vol. 6850:
Multimodal Biomedical Imaging III
Fred S. Azar; Xavier Intes, Editor(s)

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