Linked Life Data

20044237

Source:http://linkedlifedata.com/resource/pubmed/id/20044237

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2010-4-26
pubmed:abstractText
We present a shape optimization approach to compute patient-specific models in customized prototyping applications. We design a coupled shape prior to model the transformation between a related pair of surfaces, using a nonparametric joint probability density estimation. The coupled shape prior forces with the help of application-specific data forces and smoothness forces drive a surface deformation towards a desired output surface. We demonstrate the usefulness of the method for generating customized shape models in applications of hearing aid design and pre-operative to intra-operative anatomic surface estimation.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
1879-0771
pubmed:author
pubmed:copyrightInfo
Copyright 2009 Elsevier Ltd. All rights reserved.
pubmed:issnType
Electronic
pubmed:volume
34
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
298-307
pubmed:dateRevised
2010-12-3
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Nonparametric joint shape learning for customized shape modeling.
pubmed:affiliation
Sabanci University, Faculty of Engineering and Natural Sciences, Tuzla 34956, Istanbul, Turkey. gozdeunal@sabanciuniv.edu
pubmed:publicationType
Journal Article, Research Support, N.I.H., Extramural