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dc.contributor.authorTareq Alrefaeen_US
dc.contributor.authorIrina Smirnovaen_US
dc.contributor.authorLarry Cooken_US
dc.contributor.authorMehmet Bilgenen_US
dc.date.accessioned2009-05-05T19:40:02Z
dc.date.available2009-05-05T19:40:02Z
dc.date.issued2006-01-09en_US
dc.identifier.citationTareq Alrefae;Irina Smirnova;Larry Cook;Mehmet Bilgen: A model-based time-reversal of left ventricular motion improves cardiac motion analysis using tagged MRI data. Biomed Eng Online 2008, 7(1):15.en_US
dc.identifier.urihttp://hdl.handle.net/2271/636en_US
dc.description.abstractBACKGROUND:Myocardial motion is an important observable for the assessment of heart condition. Accurate estimates of ventricular (LV) wall motion are required for quantifying myocardial deformation and assessing local tissue function and viability. Harmonic Phase (HARP) analysis was developed for measuring regional LV motion using tagged magnetic resonance imaging (tMRI) data. With current computer-aided postprocessing tools including HARP analysis, large motions experienced by myocardial tissue are, however, often intractable to measure. This paper addresses this issue and provides a solution to make such measurements possible.METHODS:To improve the estimation performance of large cardiac motions while analyzing tMRI data sets, we propose a two-step solution. The first step involves constructing a model to describe average systolic motion of the LV wall within a subject group. The second step involves time-reversal of the model applied as a spatial coordinate transformation to digitally relax the contracted LV wall in the experimental data of a single subject to the beginning of systole. Cardiac tMRI scans were performed on four healthy rats and used for developing the forward LV model. Algorithms were implemented for preprocessing the tMRI data, optimizing the model parameters and performing the HARP analysis. Slices from the midventricular level were then analyzed for all systolic phases.RESULTS:The time-reversal operation derived from the LV model accounted for the bulk portion of the myocardial motion, which was the average motion experienced within the overall subject population. In analyzing the individual tMRI data sets, removing this average with the time-reversal operation left small magnitude residual motion unique to the case. This remaining residual portion of the motion was estimated robustly using the HARP analysis.CONCLUSION:Utilizing a combination of the forward LV model and its time reversal improves the performance of motion estimation in evaluating the cardiac function.en_US
dc.languageenen_US
dc.language.isoen_USen_US
dc.publisherBioMedCentralen_US
dc.relation.isversionofhttp://www.biomedical-engineering-online.com/content/7/1/15en_US
dc.relation.hasversionhttp://www.biomedcentral.com/content/pdf/1475-925X-7-15.pdfen_US
dc.rightsThis is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en_US
dc.rights.urihttp://creativecommons.org/licenses/by/2.0en_US
dc.subject.meshAlgorithmsen_US
dc.subject.meshAnimalsen_US
dc.subject.meshEquipment Designen_US
dc.subject.meshImplants, Experimentalen_US
dc.subject.meshMagnetic Resonance Imaging/ instrumentationen_US
dc.subject.meshRatsen_US
dc.subject.meshRats, Sprague-Dawleyen_US
dc.subject.meshSpinal Cord/anatomy & histologyen_US
dc.subject.meshSubcutaneous Tissueen_US
dc.titleA model-based time-reversal of left ventricular motion improves cardiac motion analysis using tagged MRI dataen_US
dc.typeArticleen_US
dc.identifier.doi10.1186/1475-925X-7-15en_US
dc.identifier.pmid16401343en_US
dc.rights.accessrightsopenAccessen_US
dc.date.captured2009-04-27en_US


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This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Except where otherwise noted, this item's license is described as: This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.