Recovery of myocardial kinematic function without the time history of external loads

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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


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