Single X-ray Projection Material Decomposition using a Mesh Projector
This study presents a method for estimating the mass fractions of chemical elements in an object, which is modeled as a homogeneous mixture, using a single X-ray radiograph and its surface mesh. The method assumes that the chemical elements in the mixture and their mass attenuation coefficients are...
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| Format: | Article |
| Language: | deu |
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NDT.net
2025-02-01
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| Series: | e-Journal of Nondestructive Testing |
| Online Access: | https://www.ndt.net/search/docs.php3?id=30756 |
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| author | Fleur Linsen Domenico Iuso Jan Sijbers |
| author_facet | Fleur Linsen Domenico Iuso Jan Sijbers |
| author_sort | Fleur Linsen |
| collection | DOAJ |
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This study presents a method for estimating the mass fractions of chemical elements in an object, which is modeled as a homogeneous mixture, using a single X-ray radiograph and its surface mesh. The method assumes that the chemical elements in the mixture and their mass attenuation coefficients are known. A stochastic gradient descent algorithm is used to iteratively minimize the error between a scanned radiograph and a simulated polychromatic radiograph, enabling the estimation of mass fractions. The CAD-ASTRA toolbox is employed to compute the path-lengths and simulate polychromatic X-ray radiographs for test objects under varying noise conditions [1].
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| format | Article |
| id | doaj-art-23285c58cf8e451496ee837974e6d0d5 |
| institution | Kabale University |
| issn | 1435-4934 |
| language | deu |
| publishDate | 2025-02-01 |
| publisher | NDT.net |
| record_format | Article |
| series | e-Journal of Nondestructive Testing |
| spelling | doaj-art-23285c58cf8e451496ee837974e6d0d52025-02-06T10:48:19ZdeuNDT.nete-Journal of Nondestructive Testing1435-49342025-02-0130210.58286/30756Single X-ray Projection Material Decomposition using a Mesh ProjectorFleur LinsenDomenico Iusohttps://orcid.org/0000-0001-7919-7878Jan Sijbershttps://orcid.org/0000-0003-4225-2487 This study presents a method for estimating the mass fractions of chemical elements in an object, which is modeled as a homogeneous mixture, using a single X-ray radiograph and its surface mesh. The method assumes that the chemical elements in the mixture and their mass attenuation coefficients are known. A stochastic gradient descent algorithm is used to iteratively minimize the error between a scanned radiograph and a simulated polychromatic radiograph, enabling the estimation of mass fractions. The CAD-ASTRA toolbox is employed to compute the path-lengths and simulate polychromatic X-ray radiographs for test objects under varying noise conditions [1]. https://www.ndt.net/search/docs.php3?id=30756 |
| spellingShingle | Fleur Linsen Domenico Iuso Jan Sijbers Single X-ray Projection Material Decomposition using a Mesh Projector e-Journal of Nondestructive Testing |
| title | Single X-ray Projection Material Decomposition using a Mesh Projector |
| title_full | Single X-ray Projection Material Decomposition using a Mesh Projector |
| title_fullStr | Single X-ray Projection Material Decomposition using a Mesh Projector |
| title_full_unstemmed | Single X-ray Projection Material Decomposition using a Mesh Projector |
| title_short | Single X-ray Projection Material Decomposition using a Mesh Projector |
| title_sort | single x ray projection material decomposition using a mesh projector |
| url | https://www.ndt.net/search/docs.php3?id=30756 |
| work_keys_str_mv | AT fleurlinsen singlexrayprojectionmaterialdecompositionusingameshprojector AT domenicoiuso singlexrayprojectionmaterialdecompositionusingameshprojector AT jansijbers singlexrayprojectionmaterialdecompositionusingameshprojector |