dc.contributor.author |
Li, Bo |
en |
dc.contributor.author |
Young, Alistair |
en |
dc.contributor.author |
Cowan, Brett |
en |
dc.contributor.editor |
Metaxas, D |
en |
dc.contributor.editor |
Axel, L |
en |
dc.contributor.editor |
Fichtinger, G |
en |
dc.contributor.editor |
Szekely, G |
en |
dc.coverage.spatial |
New York |
en |
dc.date.accessioned |
2011-09-06T01:41:32Z |
en |
dc.date.issued |
2008 |
en |
dc.identifier.citation |
Med Image Comput Comput Assist Interv 11(Pt 2):880-887 2008 |
en |
dc.identifier.issn |
0302-9743 |
en |
dc.identifier.uri |
http://hdl.handle.net/2292/7684 |
en |
dc.description.abstract |
We present a method for the fast and efficient tracking of motion in cardiac magnetic resonance (CMR) cines. A GPU accelerated Levenberg-Marquardt non-linear least squares optimization procedure for finite element non-rigid registration was implemented on an NVIDIA graphics card using the OpenGL environment. Points were tracked from frame to frame using forward and backward incremental registration. The inner (endocardial) and outer (epicardial) boarders of the heart were tracked in six short axis cines with ~25 frames through the cardiac cycle in 36 patients with vascular disease. Contours placed by two independent expert observers using a semi-automatic ventricular analysis program (CIM version 4.6) were used as the gold standard. The method took 0.5 seconds per frame, and the maximum Hausdorff errors were less than 2 mm on average which was of the same order as the expert inter-observer error. In conclusion, GPU accelerated Levenberg-Marquardt non-linear optimization enables fast and accurate tracking of cardiac motion in CMR images. |
en |
dc.language |
EN |
en |
dc.publisher |
Springer-Verlag Berlin Heidelberg |
en |
dc.relation.ispartofseries |
Med Image Comput Comput Assist Inter |
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 |
Graphics Processing Unit (GPU) |
en |
dc.subject |
Image Registration |
en |
dc.subject |
Cardiac Magnetic Resonance Imaging (CMR) |
en |
dc.subject |
MAGNETIC-RESONANCE |
en |
dc.subject |
MR-IMAGES |
en |
dc.title |
GPU accelerated non-rigid registration for the evaluation of cardiac function |
en |
dc.type |
Journal Article |
en |
dc.identifier.doi |
10.1007/978-3-540-85990-1_106 |
en |
pubs.issue |
2 |
en |
pubs.begin-page |
880 |
en |
pubs.volume |
11 |
en |
dc.rights.holder |
Copyright: 2008 Springer-Verlag Berlin Heidelberg |
en |
dc.identifier.pmid |
18982688 |
en |
pubs.end-page |
887 |
en |
dc.rights.accessrights |
http://purl.org/eprint/accessRights/RestrictedAccess |
en |
pubs.subtype |
Article |
en |
pubs.elements-id |
80103 |
en |
dc.relation.isnodouble |
9043 |
* |
pubs.org-id |
Bioengineering Institute |
en |
pubs.org-id |
ABI Associates |
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 |
2010-09-01 |
en |
pubs.dimensions-id |
18982688 |
en |