Source-detector trajectory optimization for FOV extension in dental CBCT imaging
In dental imaging, Cone Beam Computed Tomography (CBCT) is a widely used imaging modality for diagnosis and treatment planning. Small dental scanning units are the most popular due to their cost-effectiveness. However, these small systems have the limitation of a small field of view (FOV) as the sou...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-12-01
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| Series: | Computational and Structural Biotechnology Journal |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2001037024003805 |
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| author | S M Ragib Shahriar Islam Ander Biguri Claudio Landi Giovanni Di Domenico Benedikt Schneider Pascal Grün Cristina Sarti Ramona Woitek Andrea Delmiglio Carola-Bibiane Schönlieb Dritan Turhani Gernot Kronreif Wolfgang Birkfellner Sepideh Hatamikia |
| author_facet | S M Ragib Shahriar Islam Ander Biguri Claudio Landi Giovanni Di Domenico Benedikt Schneider Pascal Grün Cristina Sarti Ramona Woitek Andrea Delmiglio Carola-Bibiane Schönlieb Dritan Turhani Gernot Kronreif Wolfgang Birkfellner Sepideh Hatamikia |
| author_sort | S M Ragib Shahriar Islam |
| collection | DOAJ |
| description | In dental imaging, Cone Beam Computed Tomography (CBCT) is a widely used imaging modality for diagnosis and treatment planning. Small dental scanning units are the most popular due to their cost-effectiveness. However, these small systems have the limitation of a small field of view (FOV) as the source and detector move at a limited angle in a circular path. This often limits the FOV size. In this study, we addressed this issue by modifying the source-detector trajectory of the small dental device. The main goal of this study was to extend the FOV algorithmically by acquiring projection data with optimal projection angulation and isocenter location rather than upgrading any physical parts of the device. A novel algorithm to implement a Volume of Interest (VOI) guided trajectory is developed in this study based on the small dental imaging device's geometry. In addition, this algorithm is fused with a previously developed off-axis scanning method which uses an elliptical trajectory, to compensate for the existing constraints and to further extend the FOV. A comparison with standard circular trajectory is performed. The FOV of such a standard trajectory is a circle of 11 cm diameter in the axial plane. The proposed novel trajectory extends the FOV significantly and a maximum FOV of 19.5 cm is achieved with the Structural Similarity Index Measure (SSIM) score ranging between (≈98-99%) in different VOIs. The study results indicate that the proposed source-detector trajectory can extend dental imaging FOV and increase imaging performance, which ultimately results in more precise diagnosis and enhanced patient outcomes. |
| format | Article |
| id | doaj-art-47ae43f7b42e45d8b8e425ce600392a6 |
| institution | Kabale University |
| issn | 2001-0370 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Computational and Structural Biotechnology Journal |
| spelling | doaj-art-47ae43f7b42e45d8b8e425ce600392a62024-12-19T10:53:30ZengElsevierComputational and Structural Biotechnology Journal2001-03702024-12-0124679689Source-detector trajectory optimization for FOV extension in dental CBCT imagingS M Ragib Shahriar Islam0Ander Biguri1Claudio Landi2Giovanni Di Domenico3Benedikt Schneider4Pascal Grün5Cristina Sarti6Ramona Woitek7Andrea Delmiglio8Carola-Bibiane Schönlieb9Dritan Turhani10Gernot Kronreif11Wolfgang Birkfellner12Sepideh Hatamikia13Austrian Center for Medical Innovation and Technology, Wiener Neustadt, Austria; Research Center for Clinical AI-Research in Omics and Medical Data Science (CAROM), Department of Medicine, Danube Private University (DPU), Krems, Austria; Center for Medical Physics and Biomedical Engineering, Medical University Vienna, Vienna, Austria; Corresponding author.Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, United KingdomSeeThrough SrL, Via Bolgara 2, Brusaporto (BG), ItalyDepartment of Physics and Earth Science, University of Ferrara, Ferrara, ItalyCenter for Oral and Maxillofacial Surgery, Department of Dentistry, Faculty of Medicine and Dentistry, Danube Private University (DPU), Krems, AustriaCenter for Oral and Maxillofacial Surgery, Department of Dentistry, Faculty of Medicine and Dentistry, Danube Private University (DPU), Krems, AustriaSeeThrough SrL, Via Bolgara 2, Brusaporto (BG), ItalyResearch Center for Medical Image Analysis and Artificial Intelligence (MIAAI), Department of Medicine, Danube Private University (DPU), Krems, AustriaSeeThrough SrL, Via Bolgara 2, Brusaporto (BG), ItalyDepartment of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, United KingdomCenter for Oral and Maxillofacial Surgery, Department of Dentistry, Faculty of Medicine and Dentistry, Danube Private University (DPU), Krems, AustriaAustrian Center for Medical Innovation and Technology, Wiener Neustadt, AustriaCenter for Medical Physics and Biomedical Engineering, Medical University Vienna, Vienna, AustriaResearch Center for Clinical AI-Research in Omics and Medical Data Science (CAROM), Department of Medicine, Danube Private University (DPU), Krems, Austria; Austrian Center for Medical Innovation and Technology, Wiener Neustadt, AustriaIn dental imaging, Cone Beam Computed Tomography (CBCT) is a widely used imaging modality for diagnosis and treatment planning. Small dental scanning units are the most popular due to their cost-effectiveness. However, these small systems have the limitation of a small field of view (FOV) as the source and detector move at a limited angle in a circular path. This often limits the FOV size. In this study, we addressed this issue by modifying the source-detector trajectory of the small dental device. The main goal of this study was to extend the FOV algorithmically by acquiring projection data with optimal projection angulation and isocenter location rather than upgrading any physical parts of the device. A novel algorithm to implement a Volume of Interest (VOI) guided trajectory is developed in this study based on the small dental imaging device's geometry. In addition, this algorithm is fused with a previously developed off-axis scanning method which uses an elliptical trajectory, to compensate for the existing constraints and to further extend the FOV. A comparison with standard circular trajectory is performed. The FOV of such a standard trajectory is a circle of 11 cm diameter in the axial plane. The proposed novel trajectory extends the FOV significantly and a maximum FOV of 19.5 cm is achieved with the Structural Similarity Index Measure (SSIM) score ranging between (≈98-99%) in different VOIs. The study results indicate that the proposed source-detector trajectory can extend dental imaging FOV and increase imaging performance, which ultimately results in more precise diagnosis and enhanced patient outcomes.http://www.sciencedirect.com/science/article/pii/S2001037024003805Dental CBCTImage reconstructionField of viewTrajectory optimizationInterventional radiology |
| spellingShingle | S M Ragib Shahriar Islam Ander Biguri Claudio Landi Giovanni Di Domenico Benedikt Schneider Pascal Grün Cristina Sarti Ramona Woitek Andrea Delmiglio Carola-Bibiane Schönlieb Dritan Turhani Gernot Kronreif Wolfgang Birkfellner Sepideh Hatamikia Source-detector trajectory optimization for FOV extension in dental CBCT imaging Computational and Structural Biotechnology Journal Dental CBCT Image reconstruction Field of view Trajectory optimization Interventional radiology |
| title | Source-detector trajectory optimization for FOV extension in dental CBCT imaging |
| title_full | Source-detector trajectory optimization for FOV extension in dental CBCT imaging |
| title_fullStr | Source-detector trajectory optimization for FOV extension in dental CBCT imaging |
| title_full_unstemmed | Source-detector trajectory optimization for FOV extension in dental CBCT imaging |
| title_short | Source-detector trajectory optimization for FOV extension in dental CBCT imaging |
| title_sort | source detector trajectory optimization for fov extension in dental cbct imaging |
| topic | Dental CBCT Image reconstruction Field of view Trajectory optimization Interventional radiology |
| url | http://www.sciencedirect.com/science/article/pii/S2001037024003805 |
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