Background Light Suppression for Multispectral Imaging in Surgical Settings
Multispectral imaging (MSI) enables non-invasive tissue differentiation based on spectral characteristics and has shown great potential as a tool for surgical guidance. However, adapting MSI to open surgeries is challenging. Systems that rely on light sources present in the operating room experience...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/25/1/141 |
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| author | Moritz Gerlich Andreas Schmid Thomas Greiner Stefan Kray |
| author_facet | Moritz Gerlich Andreas Schmid Thomas Greiner Stefan Kray |
| author_sort | Moritz Gerlich |
| collection | DOAJ |
| description | Multispectral imaging (MSI) enables non-invasive tissue differentiation based on spectral characteristics and has shown great potential as a tool for surgical guidance. However, adapting MSI to open surgeries is challenging. Systems that rely on light sources present in the operating room experience limitations due to frequent lighting changes, which distort the spectral data and require countermeasures such as disruptive recalibrations. On the other hand, MSI systems that rely on dedicated lighting require external light sources, such as surgical lights, to be turned off during open surgery settings. This disrupts the surgical workflow and extends operation times. To this end, we present an approach that addresses these issues by combining active illumination with smart background suppression. By alternately capturing images with and without a modulated light source at a desired wavelength, we isolate the target signal, enabling artifact-free spectral scanning. We demonstrate the performance of our approach using a smart pixel camera, emphasizing its signal-to-noise ratio (SNR) advantage over a conventional high-speed camera. Our results show that accurate reflectance measurements can be achieved in clinical settings with high background illumination. Medical application is demonstrated through the estimation of blood oxygenation, and its suitability for open surgeries is discussed. |
| format | Article |
| id | doaj-art-875bb9fd8e3645c380e98223aa9bb280 |
| institution | Kabale University |
| issn | 1424-8220 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-875bb9fd8e3645c380e98223aa9bb2802025-01-10T13:21:00ZengMDPI AGSensors1424-82202024-12-0125114110.3390/s25010141Background Light Suppression for Multispectral Imaging in Surgical SettingsMoritz Gerlich0Andreas Schmid1Thomas Greiner2Stefan Kray3Institute of Smart Systems and Services, Pforzheim University, 75175 Pforzheim, GermanyInstitute of Smart Systems and Services, Pforzheim University, 75175 Pforzheim, GermanyInstitute of Smart Systems and Services, Pforzheim University, 75175 Pforzheim, GermanyInstitute of Smart Systems and Services, Pforzheim University, 75175 Pforzheim, GermanyMultispectral imaging (MSI) enables non-invasive tissue differentiation based on spectral characteristics and has shown great potential as a tool for surgical guidance. However, adapting MSI to open surgeries is challenging. Systems that rely on light sources present in the operating room experience limitations due to frequent lighting changes, which distort the spectral data and require countermeasures such as disruptive recalibrations. On the other hand, MSI systems that rely on dedicated lighting require external light sources, such as surgical lights, to be turned off during open surgery settings. This disrupts the surgical workflow and extends operation times. To this end, we present an approach that addresses these issues by combining active illumination with smart background suppression. By alternately capturing images with and without a modulated light source at a desired wavelength, we isolate the target signal, enabling artifact-free spectral scanning. We demonstrate the performance of our approach using a smart pixel camera, emphasizing its signal-to-noise ratio (SNR) advantage over a conventional high-speed camera. Our results show that accurate reflectance measurements can be achieved in clinical settings with high background illumination. Medical application is demonstrated through the estimation of blood oxygenation, and its suitability for open surgeries is discussed.https://www.mdpi.com/1424-8220/25/1/141multispectral imagingopen surgeriesspectral scanningbackground suppression |
| spellingShingle | Moritz Gerlich Andreas Schmid Thomas Greiner Stefan Kray Background Light Suppression for Multispectral Imaging in Surgical Settings Sensors multispectral imaging open surgeries spectral scanning background suppression |
| title | Background Light Suppression for Multispectral Imaging in Surgical Settings |
| title_full | Background Light Suppression for Multispectral Imaging in Surgical Settings |
| title_fullStr | Background Light Suppression for Multispectral Imaging in Surgical Settings |
| title_full_unstemmed | Background Light Suppression for Multispectral Imaging in Surgical Settings |
| title_short | Background Light Suppression for Multispectral Imaging in Surgical Settings |
| title_sort | background light suppression for multispectral imaging in surgical settings |
| topic | multispectral imaging open surgeries spectral scanning background suppression |
| url | https://www.mdpi.com/1424-8220/25/1/141 |
| work_keys_str_mv | AT moritzgerlich backgroundlightsuppressionformultispectralimaginginsurgicalsettings AT andreasschmid backgroundlightsuppressionformultispectralimaginginsurgicalsettings AT thomasgreiner backgroundlightsuppressionformultispectralimaginginsurgicalsettings AT stefankray backgroundlightsuppressionformultispectralimaginginsurgicalsettings |