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Accepted (AM)Open Access (License Unspecified), Open
Journal article
Wear pattern observations from TDR retrievals using autoregistration of voxel data
Journal of biomedical materials research. Part B, Applied biomaterials, v 94B(2), pp 312-317
01 Aug 2010
PMID: 20586080
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Because of their unique geometry, characterization of wear damage in total disc replacement (TDR) is difficult. In the article, we developed and validated an automated damage calculation technique for explanted TDR components. Eight polyethylene cores implanted from 4.6 to 16.0 years were using cone-beam microCT imaging (SCANCO Medical, Switzerland). The nominal uniform voxel size for the implant under investigation was 18 mu m, however with a smaller sample size increased resolutions (10-mu m nominal voxel size) could be achieved using the same microCT imaging hardware. Nominal surface data for both sizes of TDR components we examined were obtained from manufacturer's drawings (Link, Germany) and converted to highly discretized triangular meshes. The damage calculation technique utilized an initial alignment phase, followed by a pointwise calculation of the linear damage at each 3D surface point. During the alignment phase, a three-dimensional surface of the undamaged component was automatically aligned with volumetric image data from the damaged component. The alignment algorithm maximized the contact area between undamaged portions of the implant and its nominal surface using an iterative optimization technique. Linear damage at each triangle on the nominal surface was computed by moving along the local normal of the surface both inward and outward direction for a distance much less than the size of the implant. For the retrieved components, the maximum damage occurred away from the central axis of the dome close to the rim. Penetrations of up to 0.8 mm were observed in this region. Lower magnitude penetrations were observed near the pole of the dome. In conclusion, we have developed an analytical method to automatically align and measure three-dimensional surface damage with both high resolution and accuracy on implants with complicated, nonparametric, surface geometry and used this technique to analyze eight implants. (C) 2010 Wiley Periodicals, Inc. J Biomed Mater Res Part B: Appl Biomater 94B: 312-317,2010.
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Details
- Title
- Wear pattern observations from TDR retrievals using autoregistration of voxel data
- Creators
- Yakov P. Shkolnikov - ExponentAnton Bowden - Brigham Young UniversityDaniel MacDonald - Drexel UniversitySteven M. Kurtz - Exponent (United States)
- Publication Details
- Journal of biomedical materials research. Part B, Applied biomaterials, v 94B(2), pp 312-317
- Publisher
- Wiley
- Number of pages
- 6
- Grant note
- R01AR047904 / NATIONAL INSTITUTE OF ARTHRITIS AND MUSCULOSKELETAL AND SKIN DISEASES; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Arthritis & Musculoskeletal & Skin Diseases (NIAMS) R01 AR47904 / NIH; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000280009900004
- Scopus ID
- 2-s2.0-77955379607
- Other Identifier
- 991019168135804721
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- Collaboration types
- Industry collaboration
- Domestic collaboration
- Web of Science research areas
- Engineering, Biomedical
- Materials Science, Biomaterials