Paper
15 October 2003 Estimation of optical path length factor for functional imaging of an exposed cortex by principal component analysis
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Abstract
Activation of the cerebral cortex induces a localized change in the volume and oxygenation of the blood. Because the change in spectral reflectance of the cortex depends upon the concentration changes in oxy- and deoxy haemoglobin, multi-spectral imaging has been applied to investigate the functional activity of the exposed cortex related to oxy- and deoxy haemoglobin. However, brain tissue is a highly scattering medium, and the reflectance of cortical tissue depends on the mean optical path length of the detected light. The linear spectrographic analysis method without wavelength-dependent path length scaling may produce unreliable results in multi-spectral image analysis. In this study, we propose a method of estimating the wavelength-dependent path length factor from the principal component analysis of the multi-spectral images of the exposed cortex. The optical path-length factor estimated from the first principal component of the multi-spectral image of the cortical model and the absorption spectrum of haemoglobin agrees with that predicted by Monte Carlo simulation. The tendency of the optical path-length factor of the pig brain estimated from the first principal component of the multi-spectral images is almost the same as that of the cortical model.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kentaro Yokoyama, Motoshi Watanabe, and Eiji Okada "Estimation of optical path length factor for functional imaging of an exposed cortex by principal component analysis", Proc. SPIE 5138, Photon Migration and Diffuse-Light Imaging, (15 October 2003); https://doi.org/10.1117/12.500400
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Cited by 2 scholarly publications.
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KEYWORDS
Tissue optics

Reflectivity

Absorption

Brain

Principal component analysis

Neuroimaging

Monte Carlo methods

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