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Cvi42 tissue tracking software

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CVI42 Tissue Tracking software is a software tool designed for cardiovascular image analysis. It provides tools for visualizing and quantifying cardiac tissue motion and deformation from various imaging modalities.

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4 protocols using cvi42 tissue tracking software

1

Quantifying Right Atrial Deformation Using Cardiac Imaging

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The RA myocardial deformation was quantified using CVI 4.2 Tissue Tracking software (Circle Cardiovascular Imaging, Calgary, Canada). The software then constructed a deformable myocardial model based on the tracing, assuming the myocardium was nearly incompressible. In each of the subsequent frames, the displacement of the myocardial tissue, including the borders, were automatically determined using a gradient-based optical flow method with an incompressible model constraint. The propagated myocardial tissue across the cardiac cycle was verified by the operator to ensure the accuracy of propagation. At end-diastole, endocardial and epicardial borders were manually delineated using a point-and-click approach before the automated tracking algorithm was applied. Atrial endocardial and epicardial border contours were initially traced in the apical four chamber views at end-diastole. Endocardial atrial strain values for each tissue point as well as the global strain values were automatically derived by the software (Fig. 2, Supplementary Video). Feature-tracking techniques for the assessment of atrial phasic strain has been previously described5 (link),22 (link).

Normal RA function stratified according to gender and age. RA booster function gradually increased with age, with a decrease in RA conduit function in order to preserve reservoir function.

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2

Cardiac MRI Analysis of Single Ventricle

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All study images were reviewed and interpreted by a single investigator with expertise in congenital CMR imaging. Institutional post-processing software (Qmass MR and Qflow, Medis) was utilized for off-line image analysis. Contouring of the single ventricle at end-systole and end-diastole was performed to quantify ventricular volumes and calculation of ejection fraction as a measure of global systolic function. Additional off-line processing of horizontal longaxis tissue strain and strain rate was performed using CVI 42 Tissue Tracking software (Circle Cardiovascular Imaging, Calgary, Canada) for further characterization of myocardial mechanics [24 (link), 25 (link)].
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3

Quantifying Right Ventricular Deformation

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The RV myocardial deformation was quantified using a prototype of RV specific CVI42 Tissue Tracking software (Circle Cardiovascular Imaging, Calgary, Canada). First, an experienced operator traced the RV endocardial and epicardial borders at the end diastolic (ED) phase in both short-axis and long-axis cine images. The software then constructed a 3D deformable myocardial model based on the tracing, assuming the myocardium is nearly incompressible [16 (link)]. In each of the subsequent frames the displacements of the myocardial tissues, including the borders were determined using a gradient-based optical flow method with an incompressible model constraint. The propagated myocardial tissue across the cardiac cycle was verified by the operator to ensure the accuracy of the propagation. Strain values (along the longitudinal, circumferential, and radial directions) for each tissue point as well as the global strain values for the short-axis and long-axis views were automatically derived by the software [12 (link)]. The right ventricle was divided into basal, mid-cavity, and apical segments to derive regional deformation parameters.
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4

Quantifying Right Ventricular Myocardial Deformation

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The RV myocardial deformation was quantified using a prototype of RV specific CVI42 Tissue Tracking software (Circle Cardiovascular Imaging, Calgary, Canada). First, an experienced operator traced the RV endocardial and epicardial borders at the end diastolic (ED) phase in both short-axis and long-axis cine images. The software then constructed a 3D deformable myocardial model based on the tracing, assuming the myocardium is nearly incompressible (9) . In each of the subsequent frames the displacements of the myocardial tissues, including the borders, were automatically determined using a gradient-based optical flow method with an incompressible model constraint. The propagated myocardial tissue across the cardiac cycle was verified by the operator to ensure the accuracy of the propagation. Strain values (along the longitudinal, circumferential, and radial directions) for each tissue point as well as the global strain values for the short-axis and long-axis views were automatically derived by the software.
The right ventricle was divided into basal, mid-cavity, and apical position to derive regional deformation parameters.
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