Document Detail


Physiome model based state-space framework for cardiac kinematics recovery.
MedLine Citation:
PMID:  17354954     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
In order to more reliably recover cardiac information from noise-corrupted patient-specific measurements, it is essential to employ meaningful a priori constraining models and adopt appropriate optimization criteria to couple the models with the measurements. While biomechanical models have been extensively used for myocardial motion recovery with encouraging results, the passive nature of such constraints limits their ability to fully count for the deformation caused by active forces of the myocytes. To overcome such limitations, we propose to adopt a cardiac physiome model as the prior constraint for heart motion analysis. The model is comprised of a cardiac electric wave propagation model, an electromechanical coupling model, and a biomechanical model, and thus more completely describes the macroscopic cardiac physiology. Embedded within a multiframe state-space framework, the uncertainties of the model and the patient-specific measurements are systematically dealt with to arrive at optimal estimates of the cardiac kinematics and possibly beyond. Experiments have been conducted on synthetic data and MR image sequences to illustrate its abilities and benefits.
Authors:
Ken C L Wong; Heye Zhang; Huafeng Liu; Pengcheng Shi
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Publication Detail:
Type:  Evaluation Studies; Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention     Volume:  9     ISSN:  -     ISO Abbreviation:  Med Image Comput Comput Assist Interv     Publication Date:  2006  
Date Detail:
Created Date:  2007-03-14     Completed Date:  2007-04-06     Revised Date:  2009-12-11    
Medline Journal Info:
Nlm Unique ID:  101249582     Medline TA:  Med Image Comput Comput Assist Interv     Country:  Germany    
Other Details:
Languages:  eng     Pagination:  720-7     Citation Subset:  IM    
Affiliation:
Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong. eewclken@ust.hk
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Animals
Biomechanics / methods
Computer Simulation
Dogs
Heart Conduction System / physiology
Heart Ventricles / anatomy & histology*
Image Enhancement / methods
Image Interpretation, Computer-Assisted / methods*
Imaging, Three-Dimensional / methods
Magnetic Resonance Imaging / methods*
Models, Cardiovascular*
Myocardial Contraction / physiology*
Reproducibility of Results
Sensitivity and Specificity
Ventricular Function*
Ventricular Function, Left / physiology*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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