Effect of optode geometry and regularization methods on low-cost diffuse optical tomography systems
Abstract The forward and inverse problem are the important parts of the Diffuse Optical Tomography system. As well as the correct determination of the optode number and good placement of the source-detector matches, the regularization method to be used relative to the selected geometry is also impor...
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| Autor*in: |
Uysal, Hüsamettin [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| Übergeordnetes Werk: |
Enthalten in: Optical and quantum electronics - Springer US, 1975, 55(2022), 1 vom: 11. Dez. |
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| Übergeordnetes Werk: |
volume:55 ; year:2022 ; number:1 ; day:11 ; month:12 |
| Links: |
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| DOI / URN: |
10.1007/s11082-022-04366-4 |
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OLC2080144839 |
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| 520 | |a Abstract The forward and inverse problem are the important parts of the Diffuse Optical Tomography system. As well as the correct determination of the optode number and good placement of the source-detector matches, the regularization method to be used relative to the selected geometry is also important. The higher the number of source-detector, the higher cost and computation time. These parameters can be reduced with a correct placement. The aim of this study is to show that the success to be obtained from a vast amount of source detector matches can also be obtained from few number of source detector matches with the correct regularization method and optode geometry. In this paper, a low cost and effective optode geometry was studied. Firstly a custom optode geometry was designed. In addition to this geometry, four different source-detector placements that are frequently used in other studies were selected to test the performance of proposed optode geometry. Then forward model weight matrix was generated for all geometries. Ordinary Least Squares, Least Absolute Shrinkage and Selection Operator Regression, Ridge Regression and Elastic-Net regularization methods were used to solve inverse problem. The quality of the reconstructed images of optode geometries were examined by comparing synthetic data with and without noise. The results show that the proposed geometry and the correct regularization method has better estimation accuracy and lower computation time more robust to noise than the other cost-effective geometries. | ||
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10.1007/s11082-022-04366-4 doi (DE-627)OLC2080144839 (DE-He213)s11082-022-04366-4-p DE-627 ger DE-627 rakwb eng 500 620 VZ Uysal, Hüsamettin verfasserin (orcid)0000-0002-2702-6417 aut Effect of optode geometry and regularization methods on low-cost diffuse optical tomography systems 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract The forward and inverse problem are the important parts of the Diffuse Optical Tomography system. As well as the correct determination of the optode number and good placement of the source-detector matches, the regularization method to be used relative to the selected geometry is also important. The higher the number of source-detector, the higher cost and computation time. These parameters can be reduced with a correct placement. The aim of this study is to show that the success to be obtained from a vast amount of source detector matches can also be obtained from few number of source detector matches with the correct regularization method and optode geometry. In this paper, a low cost and effective optode geometry was studied. Firstly a custom optode geometry was designed. In addition to this geometry, four different source-detector placements that are frequently used in other studies were selected to test the performance of proposed optode geometry. Then forward model weight matrix was generated for all geometries. Ordinary Least Squares, Least Absolute Shrinkage and Selection Operator Regression, Ridge Regression and Elastic-Net regularization methods were used to solve inverse problem. The quality of the reconstructed images of optode geometries were examined by comparing synthetic data with and without noise. The results show that the proposed geometry and the correct regularization method has better estimation accuracy and lower computation time more robust to noise than the other cost-effective geometries. Forward problem Diffuse optical tomography Inverse problem Uysal, Sinem aut Kazancı, Hüseyin Özgür aut Sedef, Herman aut Enthalten in Optical and quantum electronics Springer US, 1975 55(2022), 1 vom: 11. Dez. (DE-627)129419540 (DE-600)189950-8 (DE-576)014796139 0306-8919 nnns volume:55 year:2022 number:1 day:11 month:12 https://doi.org/10.1007/s11082-022-04366-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY AR 55 2022 1 11 12 |
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10.1007/s11082-022-04366-4 doi (DE-627)OLC2080144839 (DE-He213)s11082-022-04366-4-p DE-627 ger DE-627 rakwb eng 500 620 VZ Uysal, Hüsamettin verfasserin (orcid)0000-0002-2702-6417 aut Effect of optode geometry and regularization methods on low-cost diffuse optical tomography systems 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract The forward and inverse problem are the important parts of the Diffuse Optical Tomography system. As well as the correct determination of the optode number and good placement of the source-detector matches, the regularization method to be used relative to the selected geometry is also important. The higher the number of source-detector, the higher cost and computation time. These parameters can be reduced with a correct placement. The aim of this study is to show that the success to be obtained from a vast amount of source detector matches can also be obtained from few number of source detector matches with the correct regularization method and optode geometry. In this paper, a low cost and effective optode geometry was studied. Firstly a custom optode geometry was designed. In addition to this geometry, four different source-detector placements that are frequently used in other studies were selected to test the performance of proposed optode geometry. Then forward model weight matrix was generated for all geometries. Ordinary Least Squares, Least Absolute Shrinkage and Selection Operator Regression, Ridge Regression and Elastic-Net regularization methods were used to solve inverse problem. The quality of the reconstructed images of optode geometries were examined by comparing synthetic data with and without noise. The results show that the proposed geometry and the correct regularization method has better estimation accuracy and lower computation time more robust to noise than the other cost-effective geometries. Forward problem Diffuse optical tomography Inverse problem Uysal, Sinem aut Kazancı, Hüseyin Özgür aut Sedef, Herman aut Enthalten in Optical and quantum electronics Springer US, 1975 55(2022), 1 vom: 11. Dez. (DE-627)129419540 (DE-600)189950-8 (DE-576)014796139 0306-8919 nnns volume:55 year:2022 number:1 day:11 month:12 https://doi.org/10.1007/s11082-022-04366-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY AR 55 2022 1 11 12 |
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10.1007/s11082-022-04366-4 doi (DE-627)OLC2080144839 (DE-He213)s11082-022-04366-4-p DE-627 ger DE-627 rakwb eng 500 620 VZ Uysal, Hüsamettin verfasserin (orcid)0000-0002-2702-6417 aut Effect of optode geometry and regularization methods on low-cost diffuse optical tomography systems 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract The forward and inverse problem are the important parts of the Diffuse Optical Tomography system. As well as the correct determination of the optode number and good placement of the source-detector matches, the regularization method to be used relative to the selected geometry is also important. The higher the number of source-detector, the higher cost and computation time. These parameters can be reduced with a correct placement. The aim of this study is to show that the success to be obtained from a vast amount of source detector matches can also be obtained from few number of source detector matches with the correct regularization method and optode geometry. In this paper, a low cost and effective optode geometry was studied. Firstly a custom optode geometry was designed. In addition to this geometry, four different source-detector placements that are frequently used in other studies were selected to test the performance of proposed optode geometry. Then forward model weight matrix was generated for all geometries. Ordinary Least Squares, Least Absolute Shrinkage and Selection Operator Regression, Ridge Regression and Elastic-Net regularization methods were used to solve inverse problem. The quality of the reconstructed images of optode geometries were examined by comparing synthetic data with and without noise. The results show that the proposed geometry and the correct regularization method has better estimation accuracy and lower computation time more robust to noise than the other cost-effective geometries. Forward problem Diffuse optical tomography Inverse problem Uysal, Sinem aut Kazancı, Hüseyin Özgür aut Sedef, Herman aut Enthalten in Optical and quantum electronics Springer US, 1975 55(2022), 1 vom: 11. Dez. (DE-627)129419540 (DE-600)189950-8 (DE-576)014796139 0306-8919 nnns volume:55 year:2022 number:1 day:11 month:12 https://doi.org/10.1007/s11082-022-04366-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY AR 55 2022 1 11 12 |
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10.1007/s11082-022-04366-4 doi (DE-627)OLC2080144839 (DE-He213)s11082-022-04366-4-p DE-627 ger DE-627 rakwb eng 500 620 VZ Uysal, Hüsamettin verfasserin (orcid)0000-0002-2702-6417 aut Effect of optode geometry and regularization methods on low-cost diffuse optical tomography systems 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract The forward and inverse problem are the important parts of the Diffuse Optical Tomography system. As well as the correct determination of the optode number and good placement of the source-detector matches, the regularization method to be used relative to the selected geometry is also important. The higher the number of source-detector, the higher cost and computation time. These parameters can be reduced with a correct placement. The aim of this study is to show that the success to be obtained from a vast amount of source detector matches can also be obtained from few number of source detector matches with the correct regularization method and optode geometry. In this paper, a low cost and effective optode geometry was studied. Firstly a custom optode geometry was designed. In addition to this geometry, four different source-detector placements that are frequently used in other studies were selected to test the performance of proposed optode geometry. Then forward model weight matrix was generated for all geometries. Ordinary Least Squares, Least Absolute Shrinkage and Selection Operator Regression, Ridge Regression and Elastic-Net regularization methods were used to solve inverse problem. The quality of the reconstructed images of optode geometries were examined by comparing synthetic data with and without noise. The results show that the proposed geometry and the correct regularization method has better estimation accuracy and lower computation time more robust to noise than the other cost-effective geometries. Forward problem Diffuse optical tomography Inverse problem Uysal, Sinem aut Kazancı, Hüseyin Özgür aut Sedef, Herman aut Enthalten in Optical and quantum electronics Springer US, 1975 55(2022), 1 vom: 11. Dez. (DE-627)129419540 (DE-600)189950-8 (DE-576)014796139 0306-8919 nnns volume:55 year:2022 number:1 day:11 month:12 https://doi.org/10.1007/s11082-022-04366-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY AR 55 2022 1 11 12 |
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10.1007/s11082-022-04366-4 doi (DE-627)OLC2080144839 (DE-He213)s11082-022-04366-4-p DE-627 ger DE-627 rakwb eng 500 620 VZ Uysal, Hüsamettin verfasserin (orcid)0000-0002-2702-6417 aut Effect of optode geometry and regularization methods on low-cost diffuse optical tomography systems 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract The forward and inverse problem are the important parts of the Diffuse Optical Tomography system. As well as the correct determination of the optode number and good placement of the source-detector matches, the regularization method to be used relative to the selected geometry is also important. The higher the number of source-detector, the higher cost and computation time. These parameters can be reduced with a correct placement. The aim of this study is to show that the success to be obtained from a vast amount of source detector matches can also be obtained from few number of source detector matches with the correct regularization method and optode geometry. In this paper, a low cost and effective optode geometry was studied. Firstly a custom optode geometry was designed. In addition to this geometry, four different source-detector placements that are frequently used in other studies were selected to test the performance of proposed optode geometry. Then forward model weight matrix was generated for all geometries. Ordinary Least Squares, Least Absolute Shrinkage and Selection Operator Regression, Ridge Regression and Elastic-Net regularization methods were used to solve inverse problem. The quality of the reconstructed images of optode geometries were examined by comparing synthetic data with and without noise. The results show that the proposed geometry and the correct regularization method has better estimation accuracy and lower computation time more robust to noise than the other cost-effective geometries. Forward problem Diffuse optical tomography Inverse problem Uysal, Sinem aut Kazancı, Hüseyin Özgür aut Sedef, Herman aut Enthalten in Optical and quantum electronics Springer US, 1975 55(2022), 1 vom: 11. Dez. (DE-627)129419540 (DE-600)189950-8 (DE-576)014796139 0306-8919 nnns volume:55 year:2022 number:1 day:11 month:12 https://doi.org/10.1007/s11082-022-04366-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY AR 55 2022 1 11 12 |
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Uysal, Hüsamettin |
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Optical and quantum electronics |
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Uysal, Hüsamettin Uysal, Sinem Kazancı, Hüseyin Özgür Sedef, Herman |
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10.1007/s11082-022-04366-4 |
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effect of optode geometry and regularization methods on low-cost diffuse optical tomography systems |
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Effect of optode geometry and regularization methods on low-cost diffuse optical tomography systems |
| abstract |
Abstract The forward and inverse problem are the important parts of the Diffuse Optical Tomography system. As well as the correct determination of the optode number and good placement of the source-detector matches, the regularization method to be used relative to the selected geometry is also important. The higher the number of source-detector, the higher cost and computation time. These parameters can be reduced with a correct placement. The aim of this study is to show that the success to be obtained from a vast amount of source detector matches can also be obtained from few number of source detector matches with the correct regularization method and optode geometry. In this paper, a low cost and effective optode geometry was studied. Firstly a custom optode geometry was designed. In addition to this geometry, four different source-detector placements that are frequently used in other studies were selected to test the performance of proposed optode geometry. Then forward model weight matrix was generated for all geometries. Ordinary Least Squares, Least Absolute Shrinkage and Selection Operator Regression, Ridge Regression and Elastic-Net regularization methods were used to solve inverse problem. The quality of the reconstructed images of optode geometries were examined by comparing synthetic data with and without noise. The results show that the proposed geometry and the correct regularization method has better estimation accuracy and lower computation time more robust to noise than the other cost-effective geometries. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstractGer |
Abstract The forward and inverse problem are the important parts of the Diffuse Optical Tomography system. As well as the correct determination of the optode number and good placement of the source-detector matches, the regularization method to be used relative to the selected geometry is also important. The higher the number of source-detector, the higher cost and computation time. These parameters can be reduced with a correct placement. The aim of this study is to show that the success to be obtained from a vast amount of source detector matches can also be obtained from few number of source detector matches with the correct regularization method and optode geometry. In this paper, a low cost and effective optode geometry was studied. Firstly a custom optode geometry was designed. In addition to this geometry, four different source-detector placements that are frequently used in other studies were selected to test the performance of proposed optode geometry. Then forward model weight matrix was generated for all geometries. Ordinary Least Squares, Least Absolute Shrinkage and Selection Operator Regression, Ridge Regression and Elastic-Net regularization methods were used to solve inverse problem. The quality of the reconstructed images of optode geometries were examined by comparing synthetic data with and without noise. The results show that the proposed geometry and the correct regularization method has better estimation accuracy and lower computation time more robust to noise than the other cost-effective geometries. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstract_unstemmed |
Abstract The forward and inverse problem are the important parts of the Diffuse Optical Tomography system. As well as the correct determination of the optode number and good placement of the source-detector matches, the regularization method to be used relative to the selected geometry is also important. The higher the number of source-detector, the higher cost and computation time. These parameters can be reduced with a correct placement. The aim of this study is to show that the success to be obtained from a vast amount of source detector matches can also be obtained from few number of source detector matches with the correct regularization method and optode geometry. In this paper, a low cost and effective optode geometry was studied. Firstly a custom optode geometry was designed. In addition to this geometry, four different source-detector placements that are frequently used in other studies were selected to test the performance of proposed optode geometry. Then forward model weight matrix was generated for all geometries. Ordinary Least Squares, Least Absolute Shrinkage and Selection Operator Regression, Ridge Regression and Elastic-Net regularization methods were used to solve inverse problem. The quality of the reconstructed images of optode geometries were examined by comparing synthetic data with and without noise. The results show that the proposed geometry and the correct regularization method has better estimation accuracy and lower computation time more robust to noise than the other cost-effective geometries. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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Effect of optode geometry and regularization methods on low-cost diffuse optical tomography systems |
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