Non-contact tracking of shoulder bones using ultrasound and stereophotogrammetry
PurposeWe explored the integration of 3D ultrasound (US) imaging with motion capture technology for non-invasively tracking bones of the shoulder district during normal activity. Our study aimed to demonstrate ex-vivo the proposed 3D US method’s feasibility and accuracy of tracking shoulder bones in...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-02-01
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| Series: | Frontiers in Bioengineering and Biotechnology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fbioe.2025.1514568/full |
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| author | Ahmed Sewify Ahmed Sewify Maxence Lavaill Maxence Lavaill Dermot O’Rourke Dermot O’Rourke Maria Antico Maria Antico Peter Pivonka Peter Pivonka Davide Fontanarosa Davide Fontanarosa Saulo Martelli Saulo Martelli |
| author_facet | Ahmed Sewify Ahmed Sewify Maxence Lavaill Maxence Lavaill Dermot O’Rourke Dermot O’Rourke Maria Antico Maria Antico Peter Pivonka Peter Pivonka Davide Fontanarosa Davide Fontanarosa Saulo Martelli Saulo Martelli |
| author_sort | Ahmed Sewify |
| collection | DOAJ |
| description | PurposeWe explored the integration of 3D ultrasound (US) imaging with motion capture technology for non-invasively tracking bones of the shoulder district during normal activity. Our study aimed to demonstrate ex-vivo the proposed 3D US method’s feasibility and accuracy of tracking shoulder bones in a controlled cadaveric shoulder positioned in various arm elevations (low, mid and high).MethodWe registered previously acquired full bone shapes to spatially small bony surface patches segmented from 3D US. The bone registration approach used was based on in silico analyses that investigated the effects of different — 1) registration algorithms (Iterative-Closest-Point–ICP, and Coherent Point Drift–CPD) and 2) initial estimate levels of the bone model pose relative to the targeted final bone pose—on the overall registration efficiency and accuracy in a controlled environment.ResultsCPD provided the highest accuracy in the simulation at the cost of 8x longer computation compared to ICP. The RMSE errors were <1 mm for the humerus and scapula at all elevations. Ex-vivo, the CPD registration errors were (Humerus = 2 mm and Scapula = 13.9 mm) (Humerus = 7.2 mm and Scapula = 16.8 mm) and (Humerus = 14.28 mm and Scapula = 27.5 mm), for low, medium and high elevations respectively.ConclusionIn summary, we demonstrated the feasibility and accuracy of tracking shoulder bones with 3D US in a simulation and a cadaveric experiment. We discovered that CPD may be a more suitable registration method for the task than ICP. We also discussed that 3D US with motion capture technology is very promising for dynamic bone tracking, but the US technology may not be ready for the task yet. |
| format | Article |
| id | doaj-art-2fa0dafb20df4b0e86e95d338ba72f71 |
| institution | Kabale University |
| issn | 2296-4185 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Bioengineering and Biotechnology |
| spelling | doaj-art-2fa0dafb20df4b0e86e95d338ba72f712025-02-06T07:10:07ZengFrontiers Media S.A.Frontiers in Bioengineering and Biotechnology2296-41852025-02-011310.3389/fbioe.2025.15145681514568Non-contact tracking of shoulder bones using ultrasound and stereophotogrammetryAhmed Sewify0Ahmed Sewify1Maxence Lavaill2Maxence Lavaill3Dermot O’Rourke4Dermot O’Rourke5Maria Antico6Maria Antico7Peter Pivonka8Peter Pivonka9Davide Fontanarosa10Davide Fontanarosa11Saulo Martelli12Saulo Martelli13School of Clinical Sciences, Queensland University of Technology, Gardens Point Campus, Brisbane, QLD, AustraliaCentre for Biomedical Technologies, Queensland University of Technology, Brisbane, QLD, AustraliaCentre for Biomedical Technologies, Queensland University of Technology, Brisbane, QLD, AustraliaSchool of Mechanical Medical and Process Engineering, Faculty of Engineering, Queensland University of Technology, Gardens Point Campus, Brisbane, QLD, AustraliaCentre for Biomedical Technologies, Queensland University of Technology, Brisbane, QLD, AustraliaSchool of Mechanical Medical and Process Engineering, Faculty of Engineering, Queensland University of Technology, Gardens Point Campus, Brisbane, QLD, AustraliaSchool of Clinical Sciences, Queensland University of Technology, Gardens Point Campus, Brisbane, QLD, AustraliaAustralian e-Health Research Centre, The Commonwealth Scientific and Industrial Research Organisation (CSIRO), Brisbane, QLD, AustraliaCentre for Biomedical Technologies, Queensland University of Technology, Brisbane, QLD, AustraliaSchool of Mechanical Medical and Process Engineering, Faculty of Engineering, Queensland University of Technology, Gardens Point Campus, Brisbane, QLD, AustraliaSchool of Clinical Sciences, Queensland University of Technology, Gardens Point Campus, Brisbane, QLD, AustraliaCentre for Biomedical Technologies, Queensland University of Technology, Brisbane, QLD, AustraliaCentre for Biomedical Technologies, Queensland University of Technology, Brisbane, QLD, AustraliaSchool of Mechanical Medical and Process Engineering, Faculty of Engineering, Queensland University of Technology, Gardens Point Campus, Brisbane, QLD, AustraliaPurposeWe explored the integration of 3D ultrasound (US) imaging with motion capture technology for non-invasively tracking bones of the shoulder district during normal activity. Our study aimed to demonstrate ex-vivo the proposed 3D US method’s feasibility and accuracy of tracking shoulder bones in a controlled cadaveric shoulder positioned in various arm elevations (low, mid and high).MethodWe registered previously acquired full bone shapes to spatially small bony surface patches segmented from 3D US. The bone registration approach used was based on in silico analyses that investigated the effects of different — 1) registration algorithms (Iterative-Closest-Point–ICP, and Coherent Point Drift–CPD) and 2) initial estimate levels of the bone model pose relative to the targeted final bone pose—on the overall registration efficiency and accuracy in a controlled environment.ResultsCPD provided the highest accuracy in the simulation at the cost of 8x longer computation compared to ICP. The RMSE errors were <1 mm for the humerus and scapula at all elevations. Ex-vivo, the CPD registration errors were (Humerus = 2 mm and Scapula = 13.9 mm) (Humerus = 7.2 mm and Scapula = 16.8 mm) and (Humerus = 14.28 mm and Scapula = 27.5 mm), for low, medium and high elevations respectively.ConclusionIn summary, we demonstrated the feasibility and accuracy of tracking shoulder bones with 3D US in a simulation and a cadaveric experiment. We discovered that CPD may be a more suitable registration method for the task than ICP. We also discussed that 3D US with motion capture technology is very promising for dynamic bone tracking, but the US technology may not be ready for the task yet.https://www.frontiersin.org/articles/10.3389/fbioe.2025.1514568/fullbone trackingultrasound3D-ultrasoundbone registrationex-vivostereophotogrammetry |
| spellingShingle | Ahmed Sewify Ahmed Sewify Maxence Lavaill Maxence Lavaill Dermot O’Rourke Dermot O’Rourke Maria Antico Maria Antico Peter Pivonka Peter Pivonka Davide Fontanarosa Davide Fontanarosa Saulo Martelli Saulo Martelli Non-contact tracking of shoulder bones using ultrasound and stereophotogrammetry Frontiers in Bioengineering and Biotechnology bone tracking ultrasound 3D-ultrasound bone registration ex-vivo stereophotogrammetry |
| title | Non-contact tracking of shoulder bones using ultrasound and stereophotogrammetry |
| title_full | Non-contact tracking of shoulder bones using ultrasound and stereophotogrammetry |
| title_fullStr | Non-contact tracking of shoulder bones using ultrasound and stereophotogrammetry |
| title_full_unstemmed | Non-contact tracking of shoulder bones using ultrasound and stereophotogrammetry |
| title_short | Non-contact tracking of shoulder bones using ultrasound and stereophotogrammetry |
| title_sort | non contact tracking of shoulder bones using ultrasound and stereophotogrammetry |
| topic | bone tracking ultrasound 3D-ultrasound bone registration ex-vivo stereophotogrammetry |
| url | https://www.frontiersin.org/articles/10.3389/fbioe.2025.1514568/full |
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