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Noncontrast agent cine Cardiac Magnetic Resonance (CMR) acquisitions using gated images taken through the cardiac cycle to characterize function are a well-established part of a comprehensive CMR exam. Although these methods have long been explored, in practice, efficient parameter determination and effective displays remain an area that could benefit from continued improvement to encourage their...
Acquisition of noncontrast agent cine cardiac magnetic resonance (CMR) gated images through the cardiac cycle is, at present, a well-established part of examining cardiac global function. However, regional quantification is less well established. We propose a new automated framework for analyzing the wall thickness and thickening function on these images that consists of three main steps. First, inner...
A new automatic approach for the estimation of global indexes from short-axis cine cardiac magnetic resonance (CMR) images is proposed. The inner contour of the left ventricle (LV) is segmented with a level set-based deformable model. Its evolution is controlled by a specially designed stochastic speed function that accounts for a learned spatially variant statistical shape prior, a 1st-order visual...
A novel automated framework for the segmentation of the left ventricle (LV) wall from contrast enhanced cardiac magnetic resonance images (CE-CMRI) is proposed. The framework consists of two main steps. First, the inner cavity of the LV is segmented from the surrounding tissues based on finding the Maximum A Posteriori (MAP) estimation of a new energy function using a graph-cuts-based optimization...
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