Three-dimensional motion reconstruction and analysis of the right ventricle using tagged MRI

Haber, Idith; Metaxas, Dimitris N.; Axel, Leon

doi:10.1016/s1361-8415(00)00028-1

Cited by 98 publications

(86 citation statements)

References 29 publications

(36 reference statements)

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“…A 3D biventricular gross model representing normal heart geometry was constructed based on published MRI data [2]. Then, using the FE program COSMOS, we divided the gross model into 29,136 tetrahedral mesh elements.…”

Section: Methods and Resultsmentioning

confidence: 99%

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Non-invasive Derivation of 3D Systolic Nonlinear Wall Stress in a Biventricular Model from Tagged MRI

Chien

Finn

Montemagno

2004

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004

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Abstract. We present a nonlinear finite element method to calculate the local myocardial wall stress in a reconstructed biventricular MRI model. Nonlinear formulations are utilized in order to describe the ventricular large deformation. Using incremental force computation, a dynamic model showing the change of myocardium wall stress during systolic contraction was established. The preliminary results show that in the normal human heart the local stress increases by a factor of 10 4 from the end of diastole to the end of systole. Furthermore, during the systolic process the left ventricle develops three times more inner wall stress than the right ventricle, and the peak inner wall stress areas in both ventricles are located at the apex.

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Section: Methods and Resultsmentioning

confidence: 99%

“…We believe this is the first attempt to solve human biventricular WS using a nonlinear large deformation formulation in a gross model. The benefit of this method is that it avoids the breakdown of linear theory which usually happens when the strain is larger than 10% -the type of deformation typical in cardiac contraction [2].…”

Section: Introductionmentioning

confidence: 99%

Non-invasive Derivation of 3D Systolic Nonlinear Wall Stress in a Biventricular Model from Tagged MRI

Chien

Finn

Montemagno

2004

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004

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“…The use of radiopaque or ultrasonic markers was then considered [2,5,13]. These markers would be implanted on or in the myocardium during surgery, and these points could be traced using standard imaging techniques.…”

Section: C251mentioning

confidence: 99%

“…Some attempts have been made to automate the process of locating the heart wall contours and tag-lines, typically using some type of thresholding operation [4,5,8]. However, a number of problems with these techniques remain and in most cases an operator is required to trace these contours manually (as in our work).…”

Section: C251mentioning

confidence: 99%

Measuring cardiac strain using Laplacian smoothing splines

Griffin

Chen²,

McMahon³

et al. 2003

ANZIAMJ

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A scheme for obtaining strain maps from a set of mri scans of the heart is presented. Using a technique known as the Spatial Modulation of Magnetization a set of mri scans are generated with tag-lines distributed over the walls of the heart. As the heart moves, these tag-lines will move accordingly. Active contours or snakes are then used to extract the tag-lines from each mri image, and the motion of the

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“…Young et al 20 used a finite element based method to track the mid myocardium surface motion from tagged-MR image sequences. Haber et al 21 used a volumetric finite element model to analyze the 3D motion of the myocardium from tagged-MR images. Tustison and Amini 22 proposed a nonuniform rational B-spline based biventricular model and its parameters were estimated by fitting them to the corresponding points extracted from the tagged-lines and the contours.…”

Section: Introductionmentioning

confidence: 99%

Right ventricular strain analysis from three‐dimensional echocardiography by using temporally diffeomorphic motion estimation

et al. 2014

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Purpose: Quantitative analysis of right ventricle (RV) motion is important for study of the mechanism of congenital and acquired diseases. Unlike left ventricle (LV), motion estimation of RV is more difficult because of its complex shape and thin myocardium. Although attempts of finite element models on MR images and speckle tracking on echocardiography have shown promising results on RV strain analysis, these methods can be improved since the temporal smoothness of the motion is not considered. Methods: The authors have proposed a temporally diffeomorphic motion estimation method in which a spatiotemporal transformation is estimated by optimization of a registration energy functional of the velocity field in their earlier work. The proposed motion estimation method is a fully automatic process for general image sequences. The authors apply the method by combining with a semiautomatic myocardium segmentation method to the RV strain analysis of three-dimensional (3D) echocardiographic sequences of five open-chest pigs under different steady states. Results: The authors compare the peak two-point strains derived by their method with those estimated from the sonomicrometry, the results show that they have high correlation. The motion of the right ventricular free wall is studied by using segmental strains. The baseline sequence results show that the segmental strains in their methods are consistent with results obtained by other image modalities such as MRI. The image sequences of pacing steady states show that segments with the largest strain variation coincide with the pacing sites. Conclusions: The high correlation of the peak two-point strains of their method and sonomicrometry under different steady states demonstrates that their RV motion estimation has high accuracy. The closeness of the segmental strain of their method to those from MRI shows the feasibility of their method in the study of RV function by using 3D echocardiography. The strain analysis of the pacing steady states shows the potential utility of their method in study on RV diseases. C 2014 American Association of Physicists in Medicine. [http://dx

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Three-dimensional motion reconstruction and analysis of the right ventricle using tagged MRI

Cited by 98 publications

References 29 publications

Non-invasive Derivation of 3D Systolic Nonlinear Wall Stress in a Biventricular Model from Tagged MRI

Non-invasive Derivation of 3D Systolic Nonlinear Wall Stress in a Biventricular Model from Tagged MRI

Measuring cardiac strain using Laplacian smoothing splines

Right ventricular strain analysis from three‐dimensional echocardiography by using temporally diffeomorphic motion estimation

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