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Open AccessArticle

Optimal Spectral Combination of a Hyperspectral Camera for Intraoperative Hemodynamic and Metabolic Brain Mapping

1
Université de Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, F69100 Lyon, France
2
Service de Neurochirurgie D, Hospices Civils de Lyon, F69500 Bron, France
*
Authors to whom correspondence should be addressed.
Appl. Sci. 2020, 10(15), 5158; https://doi.org/10.3390/app10155158
Received: 24 June 2020 / Revised: 17 July 2020 / Accepted: 21 July 2020 / Published: 27 July 2020
Intraoperative optical imaging is a localization technique for the functional areas of the human brain cortex during neurosurgical procedures. These areas are assessed by monitoring the oxygenated (HbO2) and deoxygenated hemoglobin (Hb) concentration changes occurring in the brain. Sometimes, the functional status of the brain is assessed using metabolic biomarkers: the oxidative state of cytochrome-c-oxidase (oxCCO). A setup composed of a white light source and a hyperspectral or a standard RGB camera could be used to identify the functional areas. The choice of the best spectral configuration is still based on an empirical approach. We propose in this study a method to define the optimal spectral combinations of a commercial hyperspectral camera for the computation of hemodynamic and metabolic brain maps. The method is based on a Monte Carlo framework that simulates the acquisition of the intrinsic optical signal following a neuronal activation. The results indicate that the optimal spectral combination of a hyperspectral camera aims to accurately quantify the HbO2 (0.5% error), Hb (4.4% error), and oxCCO (15% error) responses in the brain following neuronal activation. We also show that RGB imaging is a low cost and accurate solution to compute Hb maps (4% error), but not accurate to compute HbO2 (48% error) or oxCCO (1036% error) maps. View Full-Text
Keywords: hemodynamic brain mapping; metabolic brain mapping; Monte Carlo simulations; intraoperative imaging; optical imaging; hyperspectral imaging; RGB imaging hemodynamic brain mapping; metabolic brain mapping; Monte Carlo simulations; intraoperative imaging; optical imaging; hyperspectral imaging; RGB imaging
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MDPI and ACS Style

Caredda, C.; Mahieu-Williame, L.; Sablong, R.; Sdika, M.; Guyotat, J.; Montcel, B. Optimal Spectral Combination of a Hyperspectral Camera for Intraoperative Hemodynamic and Metabolic Brain Mapping. Appl. Sci. 2020, 10, 5158.

AMA Style

Caredda C, Mahieu-Williame L, Sablong R, Sdika M, Guyotat J, Montcel B. Optimal Spectral Combination of a Hyperspectral Camera for Intraoperative Hemodynamic and Metabolic Brain Mapping. Applied Sciences. 2020; 10(15):5158.

Chicago/Turabian Style

Caredda, Charly; Mahieu-Williame, Laurent; Sablong, Raphaël; Sdika, Michaël; Guyotat, Jacques; Montcel, Bruno. 2020. "Optimal Spectral Combination of a Hyperspectral Camera for Intraoperative Hemodynamic and Metabolic Brain Mapping" Appl. Sci. 10, no. 15: 5158.

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