Monte-Carlo Simulation of Light Tissue Interaction in Medical Hyperspectral Imaging Applications
In Hyperspectral imaging (HSI) applications in medicine a uniform illumination is used and the illuminated surface is recorded with a camera with spectral resolution. Unlike in tissue reflectance spectroscopy with fixed light source - detector distances, in HSI the contribution of the influence of d...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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De Gruyter
2018-09-01
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| Series: | Current Directions in Biomedical Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/cdbme-2018-0067 |
| _version_ | 1828304338431246336 |
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| author | Herrmann Bert. H. Hornberger Christoph |
| author_facet | Herrmann Bert. H. Hornberger Christoph |
| author_sort | Herrmann Bert. H. |
| collection | DOAJ |
| description | In Hyperspectral imaging (HSI) applications in medicine a uniform illumination is used and the illuminated surface is recorded with a camera with spectral resolution. Unlike in tissue reflectance spectroscopy with fixed light source - detector distances, in HSI the contribution of the influence of different tissue layers to the absorption signal is poorly understood. In this work a Monte-Carlo simulation is implemented which simulates the specific HSI illumination and detector geometry. A four-layer tissue model with variable blood volume fraction and oxygen saturation is used. With 5 % blood volume fraction and 75 % oxygen saturation, SaO2, of surrounding tissue, saturation changes in 1 mm and 2 mm deep layers lead to a change in remission of up to 3 % and up to 1 % respectively. Changes in deeper layers are hardly detectable. Further simulations will be focused on different tissue models as the depth resolution is expected to vary with tissue parameters like blood volume fraction. |
| first_indexed | 2024-04-13T14:08:52Z |
| format | Article |
| id | doaj.art-5326103bcc9a4db288da55f4ef70beff |
| institution | Directory Open Access Journal |
| issn | 2364-5504 |
| language | English |
| last_indexed | 2024-04-13T14:08:52Z |
| publishDate | 2018-09-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Current Directions in Biomedical Engineering |
| spelling | doaj.art-5326103bcc9a4db288da55f4ef70beff2022-12-22T02:43:50ZengDe GruyterCurrent Directions in Biomedical Engineering2364-55042018-09-014127527810.1515/cdbme-2018-0067cdbme-2018-0067Monte-Carlo Simulation of Light Tissue Interaction in Medical Hyperspectral Imaging ApplicationsHerrmann Bert. H.0Hornberger Christoph1Hochschule Wismar University of Applied Science Technology, Business and Design Fakultät für Ingenieurwissenschaften Bereich Maschinenbau / Verfahrens und Umwelttechnik, Philipp-Müller- Str. 14, 23966Wismar, GermanyHochschule Wismar University of Applied Science Technology, Business and Design Fakultät für Ingenieurwissenschaften Bereich Maschinenbau / Verfahrens und Umwelttechnik, Philipp-Müller-Str. 14, 23966Wismar, GermanyIn Hyperspectral imaging (HSI) applications in medicine a uniform illumination is used and the illuminated surface is recorded with a camera with spectral resolution. Unlike in tissue reflectance spectroscopy with fixed light source - detector distances, in HSI the contribution of the influence of different tissue layers to the absorption signal is poorly understood. In this work a Monte-Carlo simulation is implemented which simulates the specific HSI illumination and detector geometry. A four-layer tissue model with variable blood volume fraction and oxygen saturation is used. With 5 % blood volume fraction and 75 % oxygen saturation, SaO2, of surrounding tissue, saturation changes in 1 mm and 2 mm deep layers lead to a change in remission of up to 3 % and up to 1 % respectively. Changes in deeper layers are hardly detectable. Further simulations will be focused on different tissue models as the depth resolution is expected to vary with tissue parameters like blood volume fraction.https://doi.org/10.1515/cdbme-2018-0067hyper spectral imagingmonte-carlo simulationoxygenationphantomremission |
| spellingShingle | Herrmann Bert. H. Hornberger Christoph Monte-Carlo Simulation of Light Tissue Interaction in Medical Hyperspectral Imaging Applications Current Directions in Biomedical Engineering hyper spectral imaging monte-carlo simulation oxygenation phantom remission |
| title | Monte-Carlo Simulation of Light Tissue Interaction in Medical Hyperspectral Imaging Applications |
| title_full | Monte-Carlo Simulation of Light Tissue Interaction in Medical Hyperspectral Imaging Applications |
| title_fullStr | Monte-Carlo Simulation of Light Tissue Interaction in Medical Hyperspectral Imaging Applications |
| title_full_unstemmed | Monte-Carlo Simulation of Light Tissue Interaction in Medical Hyperspectral Imaging Applications |
| title_short | Monte-Carlo Simulation of Light Tissue Interaction in Medical Hyperspectral Imaging Applications |
| title_sort | monte carlo simulation of light tissue interaction in medical hyperspectral imaging applications |
| topic | hyper spectral imaging monte-carlo simulation oxygenation phantom remission |
| url | https://doi.org/10.1515/cdbme-2018-0067 |
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