Generation of a statistical model of the whole femur incorporating shape and material property distribution
Generation of a statistical model of the whole femur incorporating shape and material property distribution
Orthopaedic implant designs undergo extensive preclinical testing to ensure their reliability but in use there performance can vary significantly between patients. A possible reason for this is that vey few computational studies have incorporated interpatient variability. The vast majority use only a single bone model as constructing multiple models from souces such as CT scans is a time consuming and laborious task. This is despite evidence from recent studies indicating that bone geometry and bone quality have a significant effect on implant performance . The objective of this study is to build a statistical model of the whole femur which incorporates both the natural shape and material property variations which occur between patients. The model will be able to generate new femur instances and suggest the principal modes by which the femur varies in the population.
Bryan, Rebecca
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Mohan, Surya
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Hopkins, Andrew
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Nair, Prasanth
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Taylor, Mark
e368bda3-6ca5-4178-80e9-41a689badeeb
March 2008
Bryan, Rebecca
58870a3c-49f9-4473-8ba6-6518e4fa5328
Mohan, Surya
2c2a80ed-4133-4179-97f6-26ce0a6ca263
Hopkins, Andrew
15a0bd01-47d7-421b-b894-d24e1d62a4d0
Nair, Prasanth
d4d61705-bc97-478e-9e11-bcef6683afe7
Taylor, Mark
e368bda3-6ca5-4178-80e9-41a689badeeb
Bryan, Rebecca, Mohan, Surya, Hopkins, Andrew, Nair, Prasanth and Taylor, Mark
(2008)
Generation of a statistical model of the whole femur incorporating shape and material property distribution.
54th Annual Meeting of the Orthopaedic Research Society, San Francisco, USA.
02 - 05 Mar 2008.
1 pp
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Orthopaedic implant designs undergo extensive preclinical testing to ensure their reliability but in use there performance can vary significantly between patients. A possible reason for this is that vey few computational studies have incorporated interpatient variability. The vast majority use only a single bone model as constructing multiple models from souces such as CT scans is a time consuming and laborious task. This is despite evidence from recent studies indicating that bone geometry and bone quality have a significant effect on implant performance . The objective of this study is to build a statistical model of the whole femur which incorporates both the natural shape and material property variations which occur between patients. The model will be able to generate new femur instances and suggest the principal modes by which the femur varies in the population.
Text
Brya08.pdf
- Author's Original
More information
Published date: March 2008
Venue - Dates:
54th Annual Meeting of the Orthopaedic Research Society, San Francisco, USA, 2008-03-02 - 2008-03-05
Identifiers
Local EPrints ID: 64275
URI: http://eprints.soton.ac.uk/id/eprint/64275
PURE UUID: 51ce99c1-4ec9-4074-8ae0-ea04ad14b7d9
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Date deposited: 06 Jan 2009
Last modified: 15 Mar 2024 11:47
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Contributors
Author:
Rebecca Bryan
Author:
Surya Mohan
Author:
Andrew Hopkins
Author:
Prasanth Nair
Author:
Mark Taylor
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