dc.contributor.author |
Suinesiaputra, Avan |
en |
dc.contributor.author |
Frangi, AF |
en |
dc.contributor.author |
Lamb, HJ |
en |
dc.contributor.author |
Reiber, JH |
en |
dc.contributor.author |
Lelieveldt, BP |
en |
dc.contributor.editor |
Christensen, GE |
en |
dc.contributor.editor |
Sonka, M |
en |
dc.coverage.spatial |
Germany |
en |
dc.date.accessioned |
2011-09-05T00:01:02Z |
en |
dc.date.issued |
2005 |
en |
dc.identifier.citation |
Inf Process Med Imaging 19:321-332 2005 |
en |
dc.identifier.issn |
0302-9743 |
en |
dc.identifier.uri |
http://hdl.handle.net/2292/7643 |
en |
dc.description.abstract |
An important assessment in patients with ischemic heart disease is whether myocardial contractility may improve after treatment. The prediction of myocardial contractility improvement is generally performed under physical or pharmalogical stress conditions. In this paper, we present a technique to build a statistical model of healthy myocardial contraction using independent component analysis. The model is used to detect regions with abnormal contraction in patients both during rest and stress. |
en |
dc.language |
eng |
en |
dc.relation.ispartofseries |
Inf Process Med Imaging |
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 |
Algorithms |
en |
dc.subject |
Computer Simulation |
en |
dc.subject |
Exercise Test |
en |
dc.subject |
Humans |
en |
dc.subject |
Image Enhancement |
en |
dc.subject |
Image Interpretation, Computer-Assisted |
en |
dc.subject |
Magnetic Resonance Imaging |
en |
dc.subject |
Models, Cardiovascular |
en |
dc.subject |
Myocardial Contraction |
en |
dc.subject |
Myocardial Ischemia |
en |
dc.subject |
Principal Component Analysis |
en |
dc.subject |
Reproducibility of Results |
en |
dc.subject |
Sensitivity and Specificity |
en |
dc.subject |
Ventricular Dysfunction, Left |
en |
dc.title |
Automatic prediction of myocardial contractility improvement in stress MRI using shape morphometrics with independent component analysis. |
en |
dc.type |
Journal Article |
en |
pubs.begin-page |
321 |
en |
pubs.volume |
19 |
en |
dc.rights.holder |
Copyright: 2005 Springer-Verlag Berlin Heidelberg |
en |
dc.identifier.pmid |
17354706 |
en |
pubs.author-url |
http://www.ncbi.nlm.nih.gov/pubmed/17354706 |
en |
pubs.end-page |
332 |
en |
dc.rights.accessrights |
http://purl.org/eprint/accessRights/RestrictedAccess |
en |
pubs.subtype |
Article |
en |
pubs.elements-id |
215355 |
en |
pubs.org-id |
Bioengineering Institute |
en |
pubs.org-id |
ABI Associates |
en |
pubs.record-created-at-source-date |
2013-06-05 |
en |
pubs.dimensions-id |
17354706 |
en |