Deformable model application on segmentation in 3-D echocardiography

Linares, Pedro; Torrealba, V.; Montilla, G.; Bosnjak, Antonio; Jimenez, C.; Barrios, V.

doi:10.1109/cic.1996.542561

Cited by 7 publications

(5 citation statements)

References 9 publications

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“…These electromechanical models are invaluable to study electromechanical coupling, however they are somewhat limited in that most of them are not human-based hearts and that macroscopic cardiac electrical properties have not been emphasized. In imagebased cardiac motion studies, many forms of medical imaging methods, including MRI, CT and echocardiography, etc, have been applied to measure the regional function of the left ventricle (LV) (Papademetris et al 2002, Azhari et al 1996, Linares et al 1996. For example, in cardiac MRI, Clarysse et al (2002) and Remme et al (2005) computed the extent of myocardial contraction from tagged MRI sequences.…”

Section: Introductionmentioning

confidence: 99%

Effect of cardiac motion on body surface electrocardiographic potentials: an MRI-based simulation study

Wei

Appleton

et al. 2006

Phys. Med. Biol.

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This paper describes an electrical model of cardiac ventricles incorporating real geometry and motion. The heart anatomy and its motion through the cardiac cycle are obtained from segmentations of multiple-slice MRI time sequences; the special conduction system is constructed using an automated mapping procedure from an existing static heart model. The heart model is mounted in an anatomically realistic voxel model of the human body. The cardiac electrical source and surface potentials are determined numerically using both a finitedifference scheme and a boundary-element method with the incorporation of the motion of the heart. The electrocardiograms (ECG) and body surface potential maps are calculated and compared to the static simulation in the resting heart. The simulations demonstrate that introducing motion into the cardiac model modifies the ECG signals, with the most obvious change occurring during the T-wave at peak contraction of the ventricles. Body surface potential maps differ in some local positions during the T-wave, which may be of importance to a number of cardiac models, including those incorporating inverse methods.

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Section: Introductionmentioning

confidence: 99%

Effect of cardiac motion on body surface electrocardiographic potentials: an MRI-based simulation study

Wei

Appleton

et al. 2006

Phys. Med. Biol.

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“…At present, many forms of cardiac imaging and image analysis methods, including magnetic resonance imaging (MRI), echocardiography and so on, aim to measure the regional function of the left ventricle (LV) (Papademetris et al 2002, Azhari et al 1996, Linares et al 1996. However, the complexity of LV motion, the absence of internal landmarks in the myocardium and the influence of the right ventricle (RV) on the LV imply that the true motion trajectories of tissue elements are difficult to obtain from image analysis.…”

Section: Introductionmentioning

confidence: 99%

Analysis of cardiac ventricular wall motion based on a three-dimensional electromechanical biventricular model

et al. 2005

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This paper describes a biventricular model, which couples the electrical and mechanical properties of the heart, and computer simulations of ventricular wall motion and deformation by means of a biventricular model. In the constructed electromechanical model, the mechanical analysis was based on composite material theory and the finite-element method; the propagation of electrical excitation was simulated using an electrical heart model, and the resulting active forces were used to calculate ventricular wall motion. Regional deformation and Lagrangian strain tensors were calculated during the systole phase. Displacements, minimum principal strains and torsion angle were used to describe the motion of the two ventricles. The simulations showed that during the period of systole, (1) the right ventricular free wall moves towards the septum, and at the same time, the base and middle of the free wall move towards the apex, which reduces the volume of the right ventricle; the minimum principle strain (E3) is largest at the apex, then at the middle of the free wall and its direction is in the approximate direction of the epicardial muscle fibres; (2) the base and middle of the left ventricular free wall move towards the apex and the apex remains almost static; the torsion angle is largest at the apex; the minimum principle strain E3 is largest at the apex and its direction on the surface of the middle wall of the left ventricle is roughly in the fibre orientation. These results are in good accordance with results obtained from MR tagging images reported in the literature. This study suggests that such an electromechanical biventricular model has the potential to be used to assess the mechanical function of the two ventricles, and also could improve the accuracy of ECG simulation when it is used in heart-torso model-based body surface potential simulation studies.

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“…To constructabeating or dynamic electrical (electrodynamic)h eartm odel, the myocardial wall motioni nformation is required.Atpresent,manykindsofmedical imagingm ethods,i ncluding MRI,e chocardiography andC T, etc., can be used to investigatethe cardiac wall motion [12][13][14]. Fore xample, the availability of tagged magnetic resonanceimaging(tagged MRI) makesitpossibletonon-invasively measure torsion andd eformation of the heartw all [15][16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%