Endocardial 3D Ultrasound Segmentation using Autocontext Random Forests
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In this paper, we present the use of a generic image segmentation method, namely a succession of Random Forest classifiers in an autocontext framework, for the MICCAI 2014 Challenge on Endocardial 3D Ultrasound Segmentation (CETUS). The proposed method [...]

Learning Shape Representations for Multi-Atlas Endocardium Segmentation in 3D Echo Images
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As part of the CETUS challenge, we present a multi-atlas segmentation framework to delineate the left-ventricle endocardium in echocardiographic images. To increase the robustness of the registration step, we introduce a speckle reduction step and a new shape [...]

Radial Thickness Calculation and Visualization for Volumetric Layers
Volumetric layers often encountered in medical image analysis are characterized by double and nested bounding surfaces. The thickness of a volumetric layer at a point on the bounding surface is the distance from that point to the opposite surface. There exist [...]

Simulation of Active Cardiac Dynamics with Orthotropic Hyperelastic Material Model
Meaningful physical models are important for studying cardiac physiology, such as quantitative assessments of pathology via changes in model parameters, and recovering information from medical images. In order to achieve realistic deformation studies, an [...]

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