Intraoperative functional and metabolic brain mapping using hyperspectral imaging
Résumé
The acquisition of narrow wavelength bands in the Near-Infrared (NIR) range using hyperspectral imaging have
the potential to yield functional and metabolic information during a neurosurgical operation. The analysis of the
reflectance spectra through the modifed Beer-Lambert law and Monte Carlo simulations enable us to measure the
concentration changes of oxy, deoxygenated hemoglobin and cytochrome-c-oxidase during the video acquisition.
A functional model has been implemented to evaluate the functional brain areas following neuronal activation
by physiological stimuli. The results show a good correlation between the computed quantitative functional
maps and the brain areas identifed by electrical brain stimulation. This work demonstrates that a quantitative
modeling of the brain hemodynamic and metabolic biomarkers could evaluate in a robust way the functional
areas and the cellular energy metabolism during neurosurgery.