dc.contributor.author |
Zhang, Heye |
en |
dc.contributor.author |
Li, Bo |
en |
dc.contributor.author |
Young, Alistair |
en |
dc.contributor.author |
Hunter, Peter |
en |
dc.date.accessioned |
2011-08-16T03:53:35Z |
en |
dc.date.issued |
2010 |
en |
dc.identifier.citation |
EURASIP Journal on Advances in Signal Processing 2010(2010):9 pages Article number 310473 2010 |
en |
dc.identifier.issn |
1687-6172 |
en |
dc.identifier.uri |
http://hdl.handle.net/2292/7435 |
en |
dc.description.abstract |
A time-domain filtering algorithm is proposed to recover myocardial kinematic function using output-only measurements without the time history of external loads. The main contribution of this work is that the overall effect of all the external loads on the myocardium is treated as a random variable disturbed by the Gaussian white noise because the external loads of the myocardium are usually unknown in practical exercises. The kernel of our proposed algorithm is an iterative, multiframe, and sequential filtering procedure consisting of a Kalman filter and a least-squares filter. In our proposed implementation, the initial guess of myocardial kinematic function and residual innovation of all the state variables are first computed using a Kalman filter via state space equations only driven by the Gaussian white noise, and then the residual innovation is fed into a least-squares filter to estimate the total external loads of the myocardium. In the end, the initial guess of myocardial kinematic function is corrected using external loads provided by the least-squares filter. After the introduction of the whole structure of our algorithm, we demonstrate the ability of the framework on synthetic data and MR image sequences. |
en |
dc.language |
Eng |
en |
dc.publisher |
Hindawi Publishing Corporation |
en |
dc.relation.ispartofseries |
EURASIP Journal on Advances in Signal Processing |
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/1687-6172/ |
en |
dc.rights.uri |
https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm |
en |
dc.rights.uri |
http://creativecommons.org/licenses/by/3.0/ |
en |
dc.subject |
DISTRIBUTED MECHANICAL SYSTEMS |
en |
dc.subject |
LEFT-VENTRICULAR DEFORMATION |
en |
dc.subject |
EXTENDED KALMAN FILTER |
en |
dc.subject |
CARDIAC MOTION |
en |
dc.subject |
MR-IMAGES |
en |
dc.subject |
PARAMETER-ESTIMATION |
en |
dc.subject |
DATA ASSIMILATION |
en |
dc.subject |
NONRIGID MOTION |
en |
dc.subject |
WALL-MOTION |
en |
dc.subject |
JOINT STATE |
en |
dc.title |
Recovery of myocardial kinematic function without the time history of external loads |
en |
dc.type |
Journal Article |
en |
dc.identifier.doi |
10.1155/2010/310473 |
en |
pubs.volume |
2010 |
en |
dc.rights.holder |
Copyright: 2010 the author |
en |
dc.rights.accessrights |
http://purl.org/eprint/accessRights/OpenAccess |
en |
pubs.subtype |
Article |
en |
pubs.elements-id |
98774 |
en |
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.org-id |
Science |
en |
pubs.org-id |
Science Research |
en |
pubs.org-id |
Maurice Wilkins Centre (2010-2014) |
en |
pubs.number |
310473 |
en |
pubs.record-created-at-source-date |
2010-09-01 |
en |