Signal and image processing techniques for functional near-infrared imaging of the human brain

Vladislav Yu. Toronov; Xiaofeng Zhang; Monica Fabiani; Gabriele Gratton; Andrew G. Webb

doi:10.1117/12.593345

29 March 2005 Signal and image processing techniques for functional near-infrared imaging of the human brain

Vladislav Yu. Toronov, Xiaofeng Zhang, Monica Fabiani, Gabriele Gratton, Andrew G. Webb

Proceedings Volume 5696, Complex Dynamics and Fluctuations in Biomedical Photonics II; (2005) https://doi.org/10.1117/12.593345
Event: SPIE BiOS, 2005, San Jose, CA, United States

Abstract

Near-infrared spectro-imaging (NIRSI) is a quickly developing method for the in-vivo imaging of biological tissues. In particular, it is now extensively employed for imaging the human brain. In this non-invasive technique, the information about the brain is obtained from the analysis of spatial light bundles formed by the photons traveling from light sources to detectors placed on the surface of the head. Most significant problems in the functional brain NIRSI are the separation of the brain information from the physiological noise in non-cerebral tissues, and the localization of functional signals. In this paper we describe signal and image processing techniques we developed in order to measure two types of functional cerebral signals: the hemodynamic responses, and neuronal responses.

Citation Download Citation

Vladislav Yu. Toronov, Xiaofeng Zhang, Monica Fabiani, Gabriele Gratton, and Andrew G. Webb "Signal and image processing techniques for functional near-infrared imaging of the human brain", Proc. SPIE 5696, Complex Dynamics and Fluctuations in Biomedical Photonics II, (29 March 2005); https://doi.org/10.1117/12.593345

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