Investigations on 3D reconstruction of bones in surgery using a handheld trinocular camera system
Knee arthroplasty benefits significantly from computer-assisted navigation, which improves the accuracy of prosthesis placement. However, current methods require invasive optical locators to track the position of the knee, which carries risks such as infection and prolonged healing times. To address...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2024-12-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://isprs-archives.copernicus.org/articles/XLVIII-2-W7-2024/145/2024/isprs-archives-XLVIII-2-W7-2024-145-2024.pdf |
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| _version_ | 1850062756563124224 |
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| author | A. Schierbaum T. Neiss-Theuerkauff T. Luhmann F. Wallhoff T. Sieberth |
| author_facet | A. Schierbaum T. Neiss-Theuerkauff T. Luhmann F. Wallhoff T. Sieberth |
| author_sort | A. Schierbaum |
| collection | DOAJ |
| description | Knee arthroplasty benefits significantly from computer-assisted navigation, which improves the accuracy of prosthesis placement. However, current methods require invasive optical locators to track the position of the knee, which carries risks such as infection and prolonged healing times. To address these limitations, this work uses markerless trinocular SLAM to achieve accurate 3D reconstruction of the knee during surgery. The approach integrates SuperGlue for robust feature matching and incorporates segmentation to mask the knee, improving reconstruction accuracy despite challenges such as low-texture surfaces, reflections and spotlight illumination. The accuracy of the handheld trinocular camera system is evaluated under dynamic conditions, simulating camera movement during surgery to ensure accurate reconstruction during real-time surgery. In addition, a robot-guided dataset will be used to assess the repeatability and robustness of the SLAM approach. This research focuses on positional accuracy in motion and aims to advance real-time, non-invasive navigation solutions for knee arthroplasty, contributing to safer and more efficient surgical outcomes. |
| format | Article |
| id | doaj-art-a567f727f7a44208ba41bc5dca3fb5d7 |
| institution | DOAJ |
| issn | 1682-1750 2194-9034 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj-art-a567f727f7a44208ba41bc5dca3fb5d72025-08-20T02:49:49ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342024-12-01XLVIII-2-W7-202414515110.5194/isprs-archives-XLVIII-2-W7-2024-145-2024Investigations on 3D reconstruction of bones in surgery using a handheld trinocular camera systemA. Schierbaum0T. Neiss-Theuerkauff1T. Luhmann2F. Wallhoff3T. Sieberth4Institute for Applied Photogrammetry and Geoinformatics, Jade University of Applied Sciences, Oldenburg, GermanyInstitute for Technical Assistive Systems, Jade University of Applied Sciences, Oldenburg, GermanyInstitute for Applied Photogrammetry and Geoinformatics, Jade University of Applied Sciences, Oldenburg, GermanyInstitute for Technical Assistive Systems, Jade University of Applied Sciences, Oldenburg, GermanyInstitute for Applied Photogrammetry and Geoinformatics, Jade University of Applied Sciences, Oldenburg, GermanyKnee arthroplasty benefits significantly from computer-assisted navigation, which improves the accuracy of prosthesis placement. However, current methods require invasive optical locators to track the position of the knee, which carries risks such as infection and prolonged healing times. To address these limitations, this work uses markerless trinocular SLAM to achieve accurate 3D reconstruction of the knee during surgery. The approach integrates SuperGlue for robust feature matching and incorporates segmentation to mask the knee, improving reconstruction accuracy despite challenges such as low-texture surfaces, reflections and spotlight illumination. The accuracy of the handheld trinocular camera system is evaluated under dynamic conditions, simulating camera movement during surgery to ensure accurate reconstruction during real-time surgery. In addition, a robot-guided dataset will be used to assess the repeatability and robustness of the SLAM approach. This research focuses on positional accuracy in motion and aims to advance real-time, non-invasive navigation solutions for knee arthroplasty, contributing to safer and more efficient surgical outcomes.https://isprs-archives.copernicus.org/articles/XLVIII-2-W7-2024/145/2024/isprs-archives-XLVIII-2-W7-2024-145-2024.pdf |
| spellingShingle | A. Schierbaum T. Neiss-Theuerkauff T. Luhmann F. Wallhoff T. Sieberth Investigations on 3D reconstruction of bones in surgery using a handheld trinocular camera system The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | Investigations on 3D reconstruction of bones in surgery using a handheld trinocular camera system |
| title_full | Investigations on 3D reconstruction of bones in surgery using a handheld trinocular camera system |
| title_fullStr | Investigations on 3D reconstruction of bones in surgery using a handheld trinocular camera system |
| title_full_unstemmed | Investigations on 3D reconstruction of bones in surgery using a handheld trinocular camera system |
| title_short | Investigations on 3D reconstruction of bones in surgery using a handheld trinocular camera system |
| title_sort | investigations on 3d reconstruction of bones in surgery using a handheld trinocular camera system |
| url | https://isprs-archives.copernicus.org/articles/XLVIII-2-W7-2024/145/2024/isprs-archives-XLVIII-2-W7-2024-145-2024.pdf |
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