Adaptive image segmentation reveals substantial cortical bone remodelling during early fracture repair
The goal of this study was to develop an image analysis algorithm for quantifying the effects of remodelling on cortical bone during early fracture healing. An adaptive thresholding technique with boundary curvature and tortuosity control was developed to automatically identify the endocortical and...
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Taylor & Francis Group
2024-12-01
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| Series: | Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/21681163.2024.2345165 |
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| author | Alireza Ariyanfar Karina Klein Brigitte von Rechenberg Salim Darwiche Hannah L. Dailey |
| author_facet | Alireza Ariyanfar Karina Klein Brigitte von Rechenberg Salim Darwiche Hannah L. Dailey |
| author_sort | Alireza Ariyanfar |
| collection | DOAJ |
| description | The goal of this study was to develop an image analysis algorithm for quantifying the effects of remodelling on cortical bone during early fracture healing. An adaptive thresholding technique with boundary curvature and tortuosity control was developed to automatically identify the endocortical and pericortical boundaries in the presence of high-gradient bone mineral density (BMD) near the healing zone. The algorithm successfully detected boundaries in more than 47,000 microCT images from 12 pairs of healing ovine osteotomies and intact contralateral tibiae. Resampling techniques were used to achieve data dimensionality reduction on the segmented images, allowing characterisation of radial, circumferential, and axial distributions of cortical BMD. Local (transverse slice) and total (whole bone) remodelling scores were produced. These surrogate measures of cortical remodelling derived from BMD revealed that cortical changes were detectable throughout the region covered by callus and that the localised loss of cortical BMD was highest near the osteotomy. Total remodelling score was moderately and significantly correlated with callus volume and mineral composition (r > 0.64, p < 0.05), suggesting that the cortex may be a source of mineral needed to build callus. |
| format | Article |
| id | doaj-art-6b619e3dbaa046fe80a1b47b1ef8813d |
| institution | Matheson Library |
| issn | 2168-1163 2168-1171 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization |
| spelling | doaj-art-6b619e3dbaa046fe80a1b47b1ef8813d2025-07-08T10:28:29ZengTaylor & Francis GroupComputer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization2168-11632168-11712024-12-0112110.1080/21681163.2024.2345165Adaptive image segmentation reveals substantial cortical bone remodelling during early fracture repairAlireza Ariyanfar0Karina Klein1Brigitte von Rechenberg2Salim Darwiche3Hannah L. Dailey4Mechanical Engineering & Mechanics, Lehigh University, Bethlehem, PA, USAMusculoskeletal Research Unit (MSRU), Vetsuisse Faculty, University of Zurich, Zurich, SwitzerlandMusculoskeletal Research Unit (MSRU), Vetsuisse Faculty, University of Zurich, Zurich, SwitzerlandMusculoskeletal Research Unit (MSRU), Vetsuisse Faculty, University of Zurich, Zurich, SwitzerlandMechanical Engineering & Mechanics, Lehigh University, Bethlehem, PA, USAThe goal of this study was to develop an image analysis algorithm for quantifying the effects of remodelling on cortical bone during early fracture healing. An adaptive thresholding technique with boundary curvature and tortuosity control was developed to automatically identify the endocortical and pericortical boundaries in the presence of high-gradient bone mineral density (BMD) near the healing zone. The algorithm successfully detected boundaries in more than 47,000 microCT images from 12 pairs of healing ovine osteotomies and intact contralateral tibiae. Resampling techniques were used to achieve data dimensionality reduction on the segmented images, allowing characterisation of radial, circumferential, and axial distributions of cortical BMD. Local (transverse slice) and total (whole bone) remodelling scores were produced. These surrogate measures of cortical remodelling derived from BMD revealed that cortical changes were detectable throughout the region covered by callus and that the localised loss of cortical BMD was highest near the osteotomy. Total remodelling score was moderately and significantly correlated with callus volume and mineral composition (r > 0.64, p < 0.05), suggesting that the cortex may be a source of mineral needed to build callus.https://www.tandfonline.com/doi/10.1080/21681163.2024.2345165Bone fracture healingcortical remodellingadaptive thresholdingmicro-computed tomographyovine osteotomy |
| spellingShingle | Alireza Ariyanfar Karina Klein Brigitte von Rechenberg Salim Darwiche Hannah L. Dailey Adaptive image segmentation reveals substantial cortical bone remodelling during early fracture repair Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization Bone fracture healing cortical remodelling adaptive thresholding micro-computed tomography ovine osteotomy |
| title | Adaptive image segmentation reveals substantial cortical bone remodelling during early fracture repair |
| title_full | Adaptive image segmentation reveals substantial cortical bone remodelling during early fracture repair |
| title_fullStr | Adaptive image segmentation reveals substantial cortical bone remodelling during early fracture repair |
| title_full_unstemmed | Adaptive image segmentation reveals substantial cortical bone remodelling during early fracture repair |
| title_short | Adaptive image segmentation reveals substantial cortical bone remodelling during early fracture repair |
| title_sort | adaptive image segmentation reveals substantial cortical bone remodelling during early fracture repair |
| topic | Bone fracture healing cortical remodelling adaptive thresholding micro-computed tomography ovine osteotomy |
| url | https://www.tandfonline.com/doi/10.1080/21681163.2024.2345165 |
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