Estimation of Melanin and Hemoglobin Using Spectral Reflectance Images Reconstructed from a Digital RGB Image by the Wiener Estimation Method
A multi-spectral diffuse reflectance imaging method based on a single snap shot of Red-Green-Blue images acquired with the exposure time of 65 ms (15 fps) was investigated for estimating melanin concentration, blood concentration, and oxygen saturation in human skin tissue. The technique utilizes th...
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| Format: | Article |
| Language: | English |
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MDPI AG
2013-06-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/13/6/7902 |
| _version_ | 1798039452791078912 |
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| author | Yoshihisa Aizu Kyuichi Niizeki Izumi Nishidate Takaaki Maeda |
| author_facet | Yoshihisa Aizu Kyuichi Niizeki Izumi Nishidate Takaaki Maeda |
| author_sort | Yoshihisa Aizu |
| collection | DOAJ |
| description | A multi-spectral diffuse reflectance imaging method based on a single snap shot of Red-Green-Blue images acquired with the exposure time of 65 ms (15 fps) was investigated for estimating melanin concentration, blood concentration, and oxygen saturation in human skin tissue. The technique utilizes the Wiener estimation method to deduce spectral reflectance images instantaneously from an RGB image. Using the resultant absorbance spectrum as a response variable and the extinction coefficients of melanin, oxygenated hemoglobin and deoxygenated hemoglobin as predictor variables, multiple regression analysis provides regression coefficients. Concentrations of melanin and total blood are then determined from the regression coefficients using conversion vectors that are numerically deduced in advance by the Monte Carlo simulations for light transport in skin. Oxygen saturation is obtained directly from the regression coefficients. Experiments with a tissue-like agar gel phantom validated the method. In vivo experiments on fingers during upper limb occlusion demonstrated the ability of the method to evaluate physiological reactions of human skin. |
| first_indexed | 2024-04-11T21:54:05Z |
| format | Article |
| id | doaj.art-6f22a10f1e74489c907d28967cd91435 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T21:54:05Z |
| publishDate | 2013-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-6f22a10f1e74489c907d28967cd914352022-12-22T04:01:10ZengMDPI AGSensors1424-82202013-06-011367902791510.3390/s130607902Estimation of Melanin and Hemoglobin Using Spectral Reflectance Images Reconstructed from a Digital RGB Image by the Wiener Estimation MethodYoshihisa AizuKyuichi NiizekiIzumi NishidateTakaaki MaedaA multi-spectral diffuse reflectance imaging method based on a single snap shot of Red-Green-Blue images acquired with the exposure time of 65 ms (15 fps) was investigated for estimating melanin concentration, blood concentration, and oxygen saturation in human skin tissue. The technique utilizes the Wiener estimation method to deduce spectral reflectance images instantaneously from an RGB image. Using the resultant absorbance spectrum as a response variable and the extinction coefficients of melanin, oxygenated hemoglobin and deoxygenated hemoglobin as predictor variables, multiple regression analysis provides regression coefficients. Concentrations of melanin and total blood are then determined from the regression coefficients using conversion vectors that are numerically deduced in advance by the Monte Carlo simulations for light transport in skin. Oxygen saturation is obtained directly from the regression coefficients. Experiments with a tissue-like agar gel phantom validated the method. In vivo experiments on fingers during upper limb occlusion demonstrated the ability of the method to evaluate physiological reactions of human skin.http://www.mdpi.com/1424-8220/13/6/7902multi-spectral imagingdiffuse reflectanceskinmelaninoxygenated hemoglobindeoxygenated hemoglobinbloodtissue oxygen saturationmultiple regression analysisMonte Carlo simulation |
| spellingShingle | Yoshihisa Aizu Kyuichi Niizeki Izumi Nishidate Takaaki Maeda Estimation of Melanin and Hemoglobin Using Spectral Reflectance Images Reconstructed from a Digital RGB Image by the Wiener Estimation Method Sensors multi-spectral imaging diffuse reflectance skin melanin oxygenated hemoglobin deoxygenated hemoglobin blood tissue oxygen saturation multiple regression analysis Monte Carlo simulation |
| title | Estimation of Melanin and Hemoglobin Using Spectral Reflectance Images Reconstructed from a Digital RGB Image by the Wiener Estimation Method |
| title_full | Estimation of Melanin and Hemoglobin Using Spectral Reflectance Images Reconstructed from a Digital RGB Image by the Wiener Estimation Method |
| title_fullStr | Estimation of Melanin and Hemoglobin Using Spectral Reflectance Images Reconstructed from a Digital RGB Image by the Wiener Estimation Method |
| title_full_unstemmed | Estimation of Melanin and Hemoglobin Using Spectral Reflectance Images Reconstructed from a Digital RGB Image by the Wiener Estimation Method |
| title_short | Estimation of Melanin and Hemoglobin Using Spectral Reflectance Images Reconstructed from a Digital RGB Image by the Wiener Estimation Method |
| title_sort | estimation of melanin and hemoglobin using spectral reflectance images reconstructed from a digital rgb image by the wiener estimation method |
| topic | multi-spectral imaging diffuse reflectance skin melanin oxygenated hemoglobin deoxygenated hemoglobin blood tissue oxygen saturation multiple regression analysis Monte Carlo simulation |
| url | http://www.mdpi.com/1424-8220/13/6/7902 |
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