NIRS-SPM: statistical parametric mapping for near infrared spectroscopy

Sungho Tak; Kwang Eun Jang; Jinwook Jung; Jaeduck Jang; Yong Jeong; Jong Chul Ye

doi:10.1117/12.762291

14 February 2008 NIRS-SPM: statistical parametric mapping for near infrared spectroscopy

Sungho Tak, Kwang Eun Jang, Jinwook Jung, Jaeduck Jang, Yong Jeong, Jong Chul Ye

Proceedings Volume 6850, Multimodal Biomedical Imaging III; 68500T (2008) https://doi.org/10.1117/12.762291
Event: SPIE BiOS, 2008, San Jose, California, United States

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.

Citation Download Citation

Sungho Tak, Kwang Eun Jang, Jinwook Jung, Jaeduck Jang, Yong Jeong, and Jong Chul Ye "NIRS-SPM: statistical parametric mapping for near infrared spectroscopy", Proc. SPIE 6850, Multimodal Biomedical Imaging III, 68500T (14 February 2008); https://doi.org/10.1117/12.762291

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