Fully automated segmentation of callus by micro-CT compared to biomechanics
Abstract Background A high percentage of closed femur fractures have slight comminution. Using micro-CT (μCT), multiple fragment segmentation is much more difficult than segmentation of unfractured or osteotomied bone. Manual or semi-automated segmentation has been performed to date. However, such s...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2017-07-01
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| Series: | Journal of Orthopaedic Surgery and Research |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13018-017-0609-9 |
| _version_ | 1811184526762704896 |
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| author | Oliver Bissinger Carolin Götz Klaus-Dietrich Wolff Alexander Hapfelmeier Peter Michael Prodinger Thomas Tischer |
| author_facet | Oliver Bissinger Carolin Götz Klaus-Dietrich Wolff Alexander Hapfelmeier Peter Michael Prodinger Thomas Tischer |
| author_sort | Oliver Bissinger |
| collection | DOAJ |
| description | Abstract Background A high percentage of closed femur fractures have slight comminution. Using micro-CT (μCT), multiple fragment segmentation is much more difficult than segmentation of unfractured or osteotomied bone. Manual or semi-automated segmentation has been performed to date. However, such segmentation is extremely laborious, time-consuming and error-prone. Our aim was to therefore apply a fully automated segmentation algorithm to determine μCT parameters and examine their association with biomechanics. Methods The femura of 64 rats taken after randomised inhibitory or neutral medication, in terms of the effect on fracture healing, and controls were closed fractured after a Kirschner wire was inserted. After 21 days, μCT and biomechanical parameters were determined by a fully automated method and correlated (Pearson’s correlation). Results The fully automated segmentation algorithm automatically detected bone and simultaneously separated cortical bone from callus without requiring ROI selection for each single bony structure. We found an association of structural callus parameters obtained by μCT to the biomechanical properties. However, results were only explicable by additionally considering the callus location. Conclusions A large number of slightly comminuted fractures in combination with therapies that influence the callus qualitatively and/or quantitatively considerably affects the association between μCT and biomechanics. In the future, contrast-enhanced μCT imaging of the callus cartilage might provide more information to improve the non-destructive and non-invasive prediction of callus mechanical properties. As studies evaluating such important drugs increase, fully automated segmentation appears to be clinically important. |
| first_indexed | 2024-04-11T13:14:40Z |
| format | Article |
| id | doaj.art-5c9227394db149c48756d79785710e4b |
| institution | Directory Open Access Journal |
| issn | 1749-799X |
| language | English |
| last_indexed | 2024-04-11T13:14:40Z |
| publishDate | 2017-07-01 |
| publisher | BMC |
| record_format | Article |
| series | Journal of Orthopaedic Surgery and Research |
| spelling | doaj.art-5c9227394db149c48756d79785710e4b2022-12-22T04:22:27ZengBMCJournal of Orthopaedic Surgery and Research1749-799X2017-07-011211910.1186/s13018-017-0609-9Fully automated segmentation of callus by micro-CT compared to biomechanicsOliver Bissinger0Carolin Götz1Klaus-Dietrich Wolff2Alexander Hapfelmeier3Peter Michael Prodinger4Thomas Tischer5Department of Oral and Maxillofacial Surgery, Klinikum rechts der Isar der Technischen Universität MünchenDepartment of Oral and Maxillofacial Surgery, Klinikum rechts der Isar der Technischen Universität MünchenDepartment of Oral and Maxillofacial Surgery, Klinikum rechts der Isar der Technischen Universität MünchenInstitute of Medical Statistics and Epidemiology, Klinikum rechts der Isar der Technischen Universität MünchenDepartment of Orthopaedics and Orthopaedic Sports Medicine, Klinikum rechts der Isar der Technischen Universität MünchenDepartment of Orthopaedics and Orthopaedic Sports Medicine, Klinikum rechts der Isar der Technischen Universität MünchenAbstract Background A high percentage of closed femur fractures have slight comminution. Using micro-CT (μCT), multiple fragment segmentation is much more difficult than segmentation of unfractured or osteotomied bone. Manual or semi-automated segmentation has been performed to date. However, such segmentation is extremely laborious, time-consuming and error-prone. Our aim was to therefore apply a fully automated segmentation algorithm to determine μCT parameters and examine their association with biomechanics. Methods The femura of 64 rats taken after randomised inhibitory or neutral medication, in terms of the effect on fracture healing, and controls were closed fractured after a Kirschner wire was inserted. After 21 days, μCT and biomechanical parameters were determined by a fully automated method and correlated (Pearson’s correlation). Results The fully automated segmentation algorithm automatically detected bone and simultaneously separated cortical bone from callus without requiring ROI selection for each single bony structure. We found an association of structural callus parameters obtained by μCT to the biomechanical properties. However, results were only explicable by additionally considering the callus location. Conclusions A large number of slightly comminuted fractures in combination with therapies that influence the callus qualitatively and/or quantitatively considerably affects the association between μCT and biomechanics. In the future, contrast-enhanced μCT imaging of the callus cartilage might provide more information to improve the non-destructive and non-invasive prediction of callus mechanical properties. As studies evaluating such important drugs increase, fully automated segmentation appears to be clinically important.http://link.springer.com/article/10.1186/s13018-017-0609-9Fracture healingMicro-CT (μCT)BiomechanicsFully automated segmentationComminuted fractureMulti-fragmented fracture |
| spellingShingle | Oliver Bissinger Carolin Götz Klaus-Dietrich Wolff Alexander Hapfelmeier Peter Michael Prodinger Thomas Tischer Fully automated segmentation of callus by micro-CT compared to biomechanics Journal of Orthopaedic Surgery and Research Fracture healing Micro-CT (μCT) Biomechanics Fully automated segmentation Comminuted fracture Multi-fragmented fracture |
| title | Fully automated segmentation of callus by micro-CT compared to biomechanics |
| title_full | Fully automated segmentation of callus by micro-CT compared to biomechanics |
| title_fullStr | Fully automated segmentation of callus by micro-CT compared to biomechanics |
| title_full_unstemmed | Fully automated segmentation of callus by micro-CT compared to biomechanics |
| title_short | Fully automated segmentation of callus by micro-CT compared to biomechanics |
| title_sort | fully automated segmentation of callus by micro ct compared to biomechanics |
| topic | Fracture healing Micro-CT (μCT) Biomechanics Fully automated segmentation Comminuted fracture Multi-fragmented fracture |
| url | http://link.springer.com/article/10.1186/s13018-017-0609-9 |
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