Optimal Spectral Combination of a Hyperspectral Camera for Intraoperative Hemodynamic and Metabolic Brain Mapping
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<inline-formula><math display="inline"><semantics><msub><mrow&...
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MDPI AG
2020-07-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/10/15/5158 |
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| author | Charly Caredda Laurent Mahieu-Williame Raphaël Sablong Michaël Sdika Jacques Guyotat Bruno Montcel |
| author_facet | Charly Caredda Laurent Mahieu-Williame Raphaël Sablong Michaël Sdika Jacques Guyotat Bruno Montcel |
| author_sort | Charly Caredda |
| collection | DOAJ |
| description | 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<inline-formula><math display="inline"><semantics><msub><mrow></mrow><mn>2</mn></msub></semantics></math></inline-formula>) 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<inline-formula><math display="inline"><semantics><msub><mrow></mrow><mn>2</mn></msub></semantics></math></inline-formula> (<inline-formula><math display="inline"><semantics><mrow><mn>0.5</mn><mo>%</mo></mrow></semantics></math></inline-formula> error), Hb (<inline-formula><math display="inline"><semantics><mrow><mn>4.4</mn><mo>%</mo></mrow></semantics></math></inline-formula> error), and oxCCO (<inline-formula><math display="inline"><semantics><mrow><mn>15</mn><mo>%</mo></mrow></semantics></math></inline-formula> 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 (<inline-formula><math display="inline"><semantics><mrow><mn>4</mn><mo>%</mo></mrow></semantics></math></inline-formula> error), but not accurate to compute HbO<inline-formula><math display="inline"><semantics><msub><mrow></mrow><mn>2</mn></msub></semantics></math></inline-formula> (<inline-formula><math display="inline"><semantics><mrow><mn>48</mn><mo>%</mo></mrow></semantics></math></inline-formula> error) or oxCCO (<inline-formula><math display="inline"><semantics><mrow><mn>1036</mn><mo>%</mo></mrow></semantics></math></inline-formula> error) maps. |
| first_indexed | 2024-03-10T18:10:52Z |
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| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T18:10:52Z |
| publishDate | 2020-07-01 |
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| series | Applied Sciences |
| spelling | doaj.art-2f7db7c03bea4b5bbfa1aed4b32986c72023-11-20T08:04:54ZengMDPI AGApplied Sciences2076-34172020-07-011015515810.3390/app10155158Optimal Spectral Combination of a Hyperspectral Camera for Intraoperative Hemodynamic and Metabolic Brain MappingCharly Caredda0Laurent Mahieu-Williame1Raphaël Sablong2Michaël Sdika3Jacques Guyotat4Bruno Montcel5Université de Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, F69100 Lyon, FranceUniversité de Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, F69100 Lyon, FranceUniversité de Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, F69100 Lyon, FranceUniversité de Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, F69100 Lyon, FranceService de Neurochirurgie D, Hospices Civils de Lyon, F69500 Bron, FranceUniversité de Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, F69100 Lyon, FranceIntraoperative 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<inline-formula><math display="inline"><semantics><msub><mrow></mrow><mn>2</mn></msub></semantics></math></inline-formula>) 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<inline-formula><math display="inline"><semantics><msub><mrow></mrow><mn>2</mn></msub></semantics></math></inline-formula> (<inline-formula><math display="inline"><semantics><mrow><mn>0.5</mn><mo>%</mo></mrow></semantics></math></inline-formula> error), Hb (<inline-formula><math display="inline"><semantics><mrow><mn>4.4</mn><mo>%</mo></mrow></semantics></math></inline-formula> error), and oxCCO (<inline-formula><math display="inline"><semantics><mrow><mn>15</mn><mo>%</mo></mrow></semantics></math></inline-formula> 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 (<inline-formula><math display="inline"><semantics><mrow><mn>4</mn><mo>%</mo></mrow></semantics></math></inline-formula> error), but not accurate to compute HbO<inline-formula><math display="inline"><semantics><msub><mrow></mrow><mn>2</mn></msub></semantics></math></inline-formula> (<inline-formula><math display="inline"><semantics><mrow><mn>48</mn><mo>%</mo></mrow></semantics></math></inline-formula> error) or oxCCO (<inline-formula><math display="inline"><semantics><mrow><mn>1036</mn><mo>%</mo></mrow></semantics></math></inline-formula> error) maps.https://www.mdpi.com/2076-3417/10/15/5158hemodynamic brain mappingmetabolic brain mappingMonte Carlo simulationsintraoperative imagingoptical imaginghyperspectral imaging |
| spellingShingle | Charly Caredda Laurent Mahieu-Williame Raphaël Sablong Michaël Sdika Jacques Guyotat Bruno Montcel Optimal Spectral Combination of a Hyperspectral Camera for Intraoperative Hemodynamic and Metabolic Brain Mapping Applied Sciences hemodynamic brain mapping metabolic brain mapping Monte Carlo simulations intraoperative imaging optical imaging hyperspectral imaging |
| title | Optimal Spectral Combination of a Hyperspectral Camera for Intraoperative Hemodynamic and Metabolic Brain Mapping |
| title_full | Optimal Spectral Combination of a Hyperspectral Camera for Intraoperative Hemodynamic and Metabolic Brain Mapping |
| title_fullStr | Optimal Spectral Combination of a Hyperspectral Camera for Intraoperative Hemodynamic and Metabolic Brain Mapping |
| title_full_unstemmed | Optimal Spectral Combination of a Hyperspectral Camera for Intraoperative Hemodynamic and Metabolic Brain Mapping |
| title_short | Optimal Spectral Combination of a Hyperspectral Camera for Intraoperative Hemodynamic and Metabolic Brain Mapping |
| title_sort | optimal spectral combination of a hyperspectral camera for intraoperative hemodynamic and metabolic brain mapping |
| topic | hemodynamic brain mapping metabolic brain mapping Monte Carlo simulations intraoperative imaging optical imaging hyperspectral imaging |
| url | https://www.mdpi.com/2076-3417/10/15/5158 |
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