Differentiated Backprojection Reconstruction Method for Square Cross-section Fielid-of-view Rotational Computed Laminography
With advancements in modern industry, computed tomography (CT) has played a significant role in nondestructive testing. However, owing to the limitations in the imaging field of view and X-ray penetration capability, CT faces challenges in the scanning and imaging of plate-like objects. To address t...
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| Format: | Article |
| Language: | English |
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Editorial Office of Computerized Tomography Theory and Application
2025-07-01
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| Series: | CT Lilun yu yingyong yanjiu |
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| Online Access: | https://www.cttacn.org.cn/cn/article/doi/10.15953/j.ctta.2024.113 |
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| author | Wuliang SHI Xiang ZOU Changyu CHEN Yuxiang XING |
| author_facet | Wuliang SHI Xiang ZOU Changyu CHEN Yuxiang XING |
| author_sort | Wuliang SHI |
| collection | DOAJ |
| description | With advancements in modern industry, computed tomography (CT) has played a significant role in nondestructive testing. However, owing to the limitations in the imaging field of view and X-ray penetration capability, CT faces challenges in the scanning and imaging of plate-like objects. To address the inspection plate-like objects, computed laminography (CL) has been developed by modifying the scanning geometry and reconstruction algorithms. CL reconstruction methods are inspired by CT reconstruction techniques and include analytical and iterative reconstruction methods. Filtered backprojection algorithms are fast, but often result in significant discrepancies from the true values; iterative methods, although more accurate than analytical reconstruction, are usually time-consuming. This study draws on the differentiated backprojection (DBP) reconstruction method of circular trajectory fan-beam CT to derive a DBP reconstruction method for a square cross-section field of view (FOV) rotational CL. Using both simulated data and actual printed circuit board scanning data for reconstruction, the image quality of the DBP method was found to be similar to that of the filtered backprojection algorithm, with certain advantages in addressing projection truncation issues. |
| format | Article |
| id | doaj-art-94904580cbc54f59b605d19d3808f6ed |
| institution | DOAJ |
| issn | 1004-4140 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Editorial Office of Computerized Tomography Theory and Application |
| record_format | Article |
| series | CT Lilun yu yingyong yanjiu |
| spelling | doaj-art-94904580cbc54f59b605d19d3808f6ed2025-08-20T03:16:39ZengEditorial Office of Computerized Tomography Theory and ApplicationCT Lilun yu yingyong yanjiu1004-41402025-07-0134462163110.15953/j.ctta.2024.1132024.113Differentiated Backprojection Reconstruction Method for Square Cross-section Fielid-of-view Rotational Computed LaminographyWuliang SHI0Xiang ZOU1Changyu CHEN2Yuxiang XING3Department of Engineering Physics, Tsinghua University, Beijing 100084, ChinaDepartment of Engineering Physics, Tsinghua University, Beijing 100084, ChinaDepartment of Engineering Physics, Tsinghua University, Beijing 100084, ChinaDepartment of Engineering Physics, Tsinghua University, Beijing 100084, ChinaWith advancements in modern industry, computed tomography (CT) has played a significant role in nondestructive testing. However, owing to the limitations in the imaging field of view and X-ray penetration capability, CT faces challenges in the scanning and imaging of plate-like objects. To address the inspection plate-like objects, computed laminography (CL) has been developed by modifying the scanning geometry and reconstruction algorithms. CL reconstruction methods are inspired by CT reconstruction techniques and include analytical and iterative reconstruction methods. Filtered backprojection algorithms are fast, but often result in significant discrepancies from the true values; iterative methods, although more accurate than analytical reconstruction, are usually time-consuming. This study draws on the differentiated backprojection (DBP) reconstruction method of circular trajectory fan-beam CT to derive a DBP reconstruction method for a square cross-section field of view (FOV) rotational CL. Using both simulated data and actual printed circuit board scanning data for reconstruction, the image quality of the DBP method was found to be similar to that of the filtered backprojection algorithm, with certain advantages in addressing projection truncation issues.https://www.cttacn.org.cn/cn/article/doi/10.15953/j.ctta.2024.113computer laminographydifferentiated backprojection reconstructionplate-like objectsnon-destructive testing |
| spellingShingle | Wuliang SHI Xiang ZOU Changyu CHEN Yuxiang XING Differentiated Backprojection Reconstruction Method for Square Cross-section Fielid-of-view Rotational Computed Laminography CT Lilun yu yingyong yanjiu computer laminography differentiated backprojection reconstruction plate-like objects non-destructive testing |
| title | Differentiated Backprojection Reconstruction Method for Square Cross-section Fielid-of-view Rotational Computed Laminography |
| title_full | Differentiated Backprojection Reconstruction Method for Square Cross-section Fielid-of-view Rotational Computed Laminography |
| title_fullStr | Differentiated Backprojection Reconstruction Method for Square Cross-section Fielid-of-view Rotational Computed Laminography |
| title_full_unstemmed | Differentiated Backprojection Reconstruction Method for Square Cross-section Fielid-of-view Rotational Computed Laminography |
| title_short | Differentiated Backprojection Reconstruction Method for Square Cross-section Fielid-of-view Rotational Computed Laminography |
| title_sort | differentiated backprojection reconstruction method for square cross section fielid of view rotational computed laminography |
| topic | computer laminography differentiated backprojection reconstruction plate-like objects non-destructive testing |
| url | https://www.cttacn.org.cn/cn/article/doi/10.15953/j.ctta.2024.113 |
| work_keys_str_mv | AT wuliangshi differentiatedbackprojectionreconstructionmethodforsquarecrosssectionfielidofviewrotationalcomputedlaminography AT xiangzou differentiatedbackprojectionreconstructionmethodforsquarecrosssectionfielidofviewrotationalcomputedlaminography AT changyuchen differentiatedbackprojectionreconstructionmethodforsquarecrosssectionfielidofviewrotationalcomputedlaminography AT yuxiangxing differentiatedbackprojectionreconstructionmethodforsquarecrosssectionfielidofviewrotationalcomputedlaminography |