Belenguer Querol, Laura; Büchler, Philippe; Rueckert, Daniel; Nolte, Lutz P.; González Ballester, Miguel Á. (2006). Statistical finite element model for bone shape and biomechanical properties. In: Larsen, Rasmus; Nielson, Mads; Sporring, Jon (eds.) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006. Lecture Notes in Computer Science: Vol. 9 (pp. 405-411). Berlin: Springer 10.1007/11866565_50
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We present a framework for statistical finite element analysis combining shape and material properties, and allowing performing statistical statements of biomechanical performance across a given population. In this paper, we focus on the design of orthopaedic implants that fit a maximum percentage of the target population, both in terms of geometry and biomechanical stability. CT scans of the bone under consideration are registered non-rigidly to obtain correspondences in position and intensity between them. A statistical model of shape and intensity (bone density) is computed by means of principal component analysis. Afterwards, finite element analysis (FEA) is performed to analyse the biomechanical performance of the bones. Realistic forces are applied on the bones and the resulting displacement and bone stress distribution are calculated. The mechanical behaviour of different PCA bone instances is compared.
Item Type: |
Conference or Workshop Item (Paper) |
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Division/Institute: |
10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research > ARTORG Center - Computational Bioengineering 04 Faculty of Medicine > Pre-clinic Human Medicine > Institute for Surgical Technology & Biomechanics ISTB [discontinued] |
UniBE Contributor: |
Belenguer, Laura, Büchler, Philippe, Nolte, Lutz-Peter, Gonzalez Ballester, Miguel Angel |
Subjects: |
500 Science > 570 Life sciences; biology 600 Technology > 610 Medicine & health |
ISSN: |
0302-9743 |
ISBN: |
978-3-540-44708-5 |
Series: |
Lecture Notes in Computer Science |
Publisher: |
Springer |
Language: |
English |
Submitter: |
Factscience Import |
Date Deposited: |
04 Oct 2013 14:49 |
Last Modified: |
24 Jun 2024 11:28 |
Publisher DOI: |
10.1007/11866565_50 |
PubMed ID: |
17354916 |
Web of Science ID: |
000241556300050 |
BORIS DOI: |
10.7892/boris.20486 |
URI: |
https://boris.unibe.ch/id/eprint/20486 (FactScience: 3958) |