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
(This article belongs to the Special Issue Advances in Hyperspectral and Multispectral Optical Spectroscopy and Imaging of Tissue)
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 (HbO ) 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 HbO ( error), Hb ( error), and oxCCO ( 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 ( error), but not accurate to compute HbO ( error) or oxCCO ( error) maps.
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Keywords:
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 StyleCaredda, 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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