Interactive cardiac image analysis for biventricular function of the human heart

Show simple item record

dc.contributor.author Lam, Hoi en
dc.contributor.author Cowan, Brett en
dc.contributor.author Nash, Martyn en
dc.contributor.author Young, Alistair en
dc.contributor.editor Camara, O en
dc.contributor.editor Pop, M en
dc.contributor.editor Rhode, K en
dc.contributor.editor Sermesant, M en
dc.contributor.editor Smith, N en
dc.contributor.editor Young, A en
dc.coverage.spatial Beijing en
dc.date.accessioned 2011-09-06T01:42:17Z en
dc.date.issued 2010 en
dc.identifier.citation Statistical Atlases and Computational Models of the Heart 6364:144-153 2010 en
dc.identifier.issn 0302-9743 en
dc.identifier.uri http://hdl.handle.net/2292/7687 en
dc.description.abstract We developed an interactive tool for biventricular function analysis from cardiac magnetic resonance (MR) images based on the guide point modelling (GPM) approach [1]. First we built a deformable model of both ventricles of the human heart which consisted of 138 nodes and 82 hexahedral elements, each with bicubic-Bézier-linear interpolation. The model was fitted to a digitized human data set for use as the prior shape in the GPM scheme, which we modified to have a 'predictor' step that used a host mesh fitting algorithm [2] to generate predicted points (PPs) based on the user-defined guide points (GPs). Then the model was fitted towards both GPs and PPs through linear least square minimization. The inclusion of the PPs significantly improved the numerical stability of the linear least square fit and significantly accelerated the solution time. This methodology requires further validation for future application in clinical biventricular analysis. en
dc.publisher Springer-Verlag en
dc.relation.ispartofseries Lecture Notes in Computer Science en
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. Details obtained from http://www.sherpa.ac.uk/romeo/issn/0302-9743/ en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.subject biventricular function en
dc.subject right ventricle en
dc.subject guide point modelling en
dc.subject host mesh fitting en
dc.subject MR-IMAGES en
dc.subject MATHEMATICAL-MODEL en
dc.subject CINE MRI en
dc.subject SEGMENTATION en
dc.subject VENTRICLES en
dc.title Interactive cardiac image analysis for biventricular function of the human heart en
dc.type Journal Article en
dc.identifier.doi 10.1007/978-3-642-15835-3_15 en
pubs.begin-page 144 en
pubs.volume 6364 en
dc.rights.holder Copyright: 2010 Springer-Verlag Berlin, Heidelberg en
pubs.author-url http://link.springer.com/chapter/10.1007/978-3-642-15835-3_15 en
pubs.end-page 153 en
dc.rights.accessrights http://purl.org/eprint/accessRights/RestrictedAccess en
pubs.subtype Article en
pubs.elements-id 179865 en
pubs.org-id Bioengineering Institute en
pubs.org-id ABI Associates en
pubs.org-id Engineering en
pubs.org-id Engineering Science en
pubs.org-id Medical and Health Sciences en
pubs.org-id Medical Sciences en
pubs.org-id Anatomy and Medical Imaging en
pubs.record-created-at-source-date 2010-12-08 en


Files in this item

Find Full text

This item appears in the following Collection(s)

Show simple item record

Share

Search ResearchSpace


Browse

Statistics