Literature DB >> 16689265

An electromechanical model of the heart for image analysis and simulation.

M Sermesant1, H Delingette, N Ayache.   

Abstract

This paper presents a new three-dimensional electromechanical model of the two cardiac ventricles designed both for the simulation of their electrical and mechanical activity, and for the segmentation of time series of medical images. First, we present the volumetric biomechanical models built. Then the transmembrane potential propagation is simulated, based on FitzHugh-Nagumo reaction-diffusion equations. The myocardium contraction is modeled through a constitutive law including an electromechanical coupling. Simulation of a cardiac cycle, with boundary conditions representing blood pressure and volume constraints, leads to the correct estimation of global and local parameters of the cardiac function. This model enables the introduction of pathologies and the simulation of electrophysiology interventions. Moreover, it can be used for cardiac image analysis. A new proactive deformable model of the heart is introduced to segment the two ventricles in time series of cardiac images. Preliminary results indicate that this proactive model, which integrates a priori knowledge on the cardiac anatomy and on its dynamical behavior, can improve the accuracy and robustness of the extraction of functional parameters from cardiac images even in the presence of noisy or sparse data. Such a model also allows the simulation of cardiovascular pathologies in order to test therapy strategies and to plan interventions.

Mesh:

Year:  2006        PMID: 16689265     DOI: 10.1109/TMI.2006.872746

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  18 in total

Review 1.  Bayesian quantitative electrophysiology and its multiple applications in bioengineering.

Authors:  Roger C Barr; Loren W Nolte; Andrew E Pollard
Journal:  IEEE Rev Biomed Eng       Date:  2010

2.  Incorporation of a left ventricle finite element model defining infarction into the XCAT imaging phantom.

Authors:  Alexander I Veress; W Paul Segars; Benjamin M W Tsui; Grant T Gullberg
Journal:  IEEE Trans Med Imaging       Date:  2010-10-28       Impact factor: 10.048

3.  DTI template-based estimation of cardiac fiber orientations from 3D ultrasound.

Authors:  Xulei Qin; Baowei Fei
Journal:  Med Phys       Date:  2015-06       Impact factor: 4.071

Review 4.  Isolated heart models: cardiovascular system studies and technological advances.

Authors:  Veronika Olejnickova; Marie Novakova; Ivo Provaznik
Journal:  Med Biol Eng Comput       Date:  2015-03-15       Impact factor: 2.602

5.  Spatiotemporal Strategies for Joint Segmentation and Motion Tracking From Cardiac Image Sequences.

Authors:  Huafeng Liu; Ting Wang; Lei Xu; Pengcheng Shi
Journal:  IEEE J Transl Eng Health Med       Date:  2017-02-23       Impact factor: 3.316

6.  A Meshfree Representation for Cardiac Medical Image Computing.

Authors:  Heye Zhang; Zhifan Gao; Lin Xu; Xingjian Yu; Ken C L Wong; Huafeng Liu; Ling Zhuang; Pengcheng Shi
Journal:  IEEE J Transl Eng Health Med       Date:  2018-01-18       Impact factor: 3.316

7.  An analysis of deformation-dependent electromechanical coupling in the mouse heart.

Authors:  Sander Land; Steven A Niederer; Jan Magnus Aronsen; Emil K S Espe; Lili Zhang; William E Louch; Ivar Sjaastad; Ole M Sejersted; Nicolas P Smith
Journal:  J Physiol       Date:  2012-05-21       Impact factor: 5.182

Review 8.  Real-time MRI guidance of cardiac interventions.

Authors:  Adrienne E Campbell-Washburn; Mohammad A Tavallaei; Mihaela Pop; Elena K Grant; Henry Chubb; Kawal Rhode; Graham A Wright
Journal:  J Magn Reson Imaging       Date:  2017-05-11       Impact factor: 4.813

9.  Measurement of viscoelastic properties of in vivo swine myocardium using lamb wave dispersion ultrasound vibrometry (LDUV).

Authors:  Matthew W Urban; Cristina Pislaru; Ivan Z Nenadic; Randall R Kinnick; James F Greenleaf
Journal:  IEEE Trans Med Imaging       Date:  2012-10-04       Impact factor: 10.048

10.  Computer model for the optimization of AV and VV delay in cardiac resynchronization therapy.

Authors:  Matthias Reumann; Dima Farina; Raz Miri; Stephan Lurz; Brigitte Osswald; Olaf Dössel
Journal:  Med Biol Eng Comput       Date:  2007-07-27       Impact factor: 2.602

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