Linked Life Data

17354916

Source:http://linkedlifedata.com/resource/pubmed/id/17354916

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
Pt 1
pubmed:dateCreated
2007-3-14
pubmed:abstractText
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.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:author
pubmed:volume
9
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
405-11
pubmed:dateRevised
2009-12-11
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
Statistical finite element model for bone shape and biomechanical properties.
pubmed:affiliation
MEM Research Center, University of Bern, Switzerland. laura.belenguer@memcenter.unibe.ch
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't, Evaluation Studies