On the Use of Population-Based Statistical Models in Biomechanics

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dc.contributor.author Fernandez, Justin
dc.contributor.author Yeung, Shasha
dc.contributor.author Swee, Alex
dc.contributor.author Schneider, Marco
dc.contributor.author Besier, Thor
dc.contributor.author Zhang, Ju
dc.contributor.editor Narayan, R
dc.date.accessioned 2022-06-09T02:00:19Z
dc.date.available 2022-06-09T02:00:19Z
dc.date.issued 2019-01-01
dc.identifier.citation (2019). In Narayan, R. (Ed.), Encyclopedia of Biomedical Engineering (pp. 229-237). Elsevier.
dc.identifier.isbn 9780128048290
dc.identifier.uri https://hdl.handle.net/2292/59633
dc.description.abstract Statistical shape modeling has been extensively used to model the 3-D shape variations of many biological structures. Using statistical methods such as principal component analysis to reduce the dimensionality of 3-D data, complex geometric variations can be modeled using just a few parameters. These models have been used to greatly improve the robustness and efficiency of patient-specific model generation from images and sparse or incomplete data. This article will outline the basic theory of statistical shape modeling, and describe how it has been applied to the human femur as an example of its application. Further examples highlighting the lower lumbar spine, foot, and carpometacarpal joints are also presented.
dc.publisher Elsevier
dc.relation.ispartof Encyclopedia of Biomedical Engineering
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher.
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm
dc.subject Bioengineering
dc.subject Science & Technology
dc.subject Life Sciences & Biomedicine
dc.subject Technology
dc.subject Physical Sciences
dc.subject Biophysics
dc.subject Engineering, Biomedical
dc.subject Physics, Applied
dc.subject Radiology, Nuclear Medicine & Medical Imaging
dc.subject Engineering
dc.subject Physics
dc.subject HIP FRACTURE
dc.subject SHAPE MODELS
dc.subject FEMUR
dc.subject BONE
dc.subject GEOMETRY
dc.subject DENSITY
dc.subject RISK
dc.subject SEGMENTATION
dc.subject REGION
dc.subject MEN
dc.title On the Use of Population-Based Statistical Models in Biomechanics
dc.type Book Item
dc.identifier.doi 10.1016/b978-0-12-801238-3.99924-0
pubs.begin-page 229
pubs.volume 1-3
dc.date.updated 2022-05-27T03:15:04Z
dc.rights.holder Copyright: The author en
pubs.author-url http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000517445100017&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=6e41486220adb198d0efde5a3b153e7d
pubs.end-page 237
pubs.place-of-publication Netherlands
pubs.publication-status Published
dc.rights.accessrights http://purl.org/eprint/accessRights/RetrictedAccess en
pubs.elements-id 726144
pubs.org-id Bioengineering Institute
pubs.org-id Engineering
pubs.org-id Engineering Science
pubs.org-id ABI Associates
pubs.record-created-at-source-date 2022-05-27
pubs.online-publication-date 2017-12-23


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