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

Autor: Michaël Sdika, Charly Caredda, Jacques Guyotat, Raphaël Sablong, Bruno Montcel, Laurent Mahieu-Williame
Přispěvatelé: RMN et optique : De la mesure au biomarqueur, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Plateforme d'Imagerie Multimodale LyonTech (PILoT), Modeling & analysis for medical imaging and Diagnosis (MYRIAD), Hospices Civils de Lyon (HCL), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Hospices Civils de Lyon, Departement de Neurologie (HCL), Caredda, Charly, Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)
Jazyk: angličtina
Rok vydání: 2020
Předmět:
intraoperative imaging
[SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging
Computer science
hyperspectral imaging
[SDV]Life Sciences [q-bio]
Monte Carlo method
hemodynamic brain mapping
lcsh:Technology
01 natural sciences
Signal
Brain mapping
lcsh:Chemistry
0302 clinical medicine
General Materials Science
lcsh:QH301-705.5
Instrumentation
ComputingMilieux_MISCELLANEOUS
Fluid Flow and Transfer Processes
General Engineering
Hyperspectral imaging
Human brain
lcsh:QC1-999
Computer Science Applications
[SDV] Life Sciences [q-bio]
medicine.anatomical_structure
metabolic brain mapping
[SDV.IB]Life Sciences [q-bio]/Bioengineering
Functional status
Monte Carlo simulations
010309 optics
03 medical and health sciences
optical imaging
Optical imaging
0103 physical sciences
medicine
lcsh:T
business.industry
Process Chemistry and Technology
Pattern recognition
RGB imaging
TheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGES
lcsh:Biology (General)
lcsh:QD1-999
lcsh:TA1-2040
RGB color model
Artificial intelligence
lcsh:Engineering (General). Civil engineering (General)
business
lcsh:Physics
030217 neurology & neurosurgery
Zdroj: Applied Sciences
Volume 10
Issue 15
Applied Sciences, MDPI, 2020, 10 (15), pp.5158. ⟨10.3390/app10155158⟩
European Conferences on Biomedical Optics
European Conferences on Biomedical Optics, Jun 2021, Munchen (virtual), Germany
Applied Sciences, Vol 10, Iss 5158, p 5158 (2020)
ISSN: 2076-3417
DOI: 10.3390/app10155158
Popis: 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.
Databáze: OpenAIRE
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