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Proceedings Paper

Hyperspectral functional imaging of the human brain
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Paper Abstract

We performed the independent component analysis of the hyperspectral functional near-infrared data acquired on humans during exercise and rest. We found that the hyperspectral functional data acquired on the human brain requires only two physiologically meaningful components to cover more than 50% o the temporal variance in hundreds of wavelengths. The analysis of the spectra of independent components showed that these components could be interpreted as results of changes in the cerebral blood volume and blood flow. Also, we found significant contributions of water and cytochrome c oxydase into changes associated with the independent components. Another remarkable effect of ICA was its good performance in terms of the filtering of the data noise.

Paper Details

Date Published: 8 March 2013
PDF: 6 pages
Proc. SPIE 8565, Photonic Therapeutics and Diagnostics IX, 85654K (8 March 2013); doi: 10.1117/12.2005894
Show Author Affiliations
Vladislav Toronov, Ryerson Univ. (Canada)
Irina Schelkanova, Ryerson Univ. (Canada)


Published in SPIE Proceedings Vol. 8565:
Photonic Therapeutics and Diagnostics IX
Andreas Mandelis; Brian Jet-Fei Wong; Anita Mahadevan-Jansen; Henry Hirschberg; Hyun Wook Kang; Nikiforos Kollias; Melissa J. Suter; Kenton W. Gregory; Guillermo J. Tearney; Stephen Lam; Bernard Choi; Steen J. Madsen; Bodo E. Knudsen; E. Duco Jansen; Justus F. Ilgner; Haishan Zeng; Matthew Brenner; Laura Marcu, Editor(s)

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