Literature DB >> 21158300

Three-dimensional canine heart model for cardiac elastography.

Hao Chen1, Tomy Varghese.   

Abstract

PURPOSE: A three-dimensional finite element analysis based canine heart model is introduced that would enable the assessment of cardiac function.
METHODS: The three-dimensional canine heart model is based on the cardiac deformation and motion model obtained from the Cardiac Mechanics Research Group at UCSD. The canine heart model is incorporated into ultrasound simulation programs previously developed in the laboratory, enabling the generation of simulated ultrasound radiofrequency data to evaluate algorithms for cardiac elastography. The authors utilize a two-dimensional multilevel hybrid method to estimate local displacements and strain from the simulated cardiac radiofrequency data.
RESULTS: Tissue displacements and strains estimated along both the axial and lateral directions (with respect to the ultrasound scan plane) are compared to the actual scatterer movement obtained using the canine heart model. Simulation and strain estimation algorithms combined with the three-dimensional canine heart model provide high resolution displacement and strain curves for improved analysis of cardiac function. The use of principal component analysis along parasternal cardiac short axis views is also presented.
CONCLUSIONS: A 3D cardiac deformation model is proposed for evaluating displacement tracking and strain estimation algorithms for cardiac strain imaging. Validation of the model is shown using ultrasound simulations to generate axial and lateral displacement and strain curves that are similar to the actual axial and lateral displacement and strain curves.

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Year:  2010        PMID: 21158300      PMCID: PMC2980546          DOI: 10.1118/1.3496326

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  44 in total

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  11 in total

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6.  Comparison of cardiac displacement and strain imaging using ultrasound radiofrequency and envelope signals.

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7.  Segmental Analysis of Cardiac Short-Axis Views Using Lagrangian Radial and Circumferential Strain.

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8.  Relative identifiability of anisotropic properties from magnetic resonance elastography.

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9.  Spatiotemporal Bayesian Regularization for Cardiac Strain Imaging: Simulation and In Vivo Results.

Authors:  Rashid Al Mukaddim; Nirvedh H Meshram; Ashley M Weichmann; Carol C Mitchell; Tomy Varghese
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10.  Two-domain mechanics of a spherical, single chamber heart with applications to specific cardiac pathologies.

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Journal:  Springerplus       Date:  2013-04-26
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