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Evaluation Framework for Algorithms Segmenting Short Axis Cardiac MRI.
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The motivation of the segmentation challenge is to quantitatively analyze global and regional cardiac function from cine magnetic resonance (MR) images, clinical parameters such as ejection fraction (EF), left ventricle myocardium mass (MM), and stroke volume [...]

Fully Automatic Left Ventricle Segmentation in Cardiac Cine MR Images Using Registration and Minimum Surfaces
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This paper describes a fully automatic system to segment the left ventricle in all slices and all phases of a magnetic resonance cardiac cine study. After localizing the left ventricle blood pool using motion, thresholding and clustering, slices are [...]

An open, clinically-validated database of 3D+t cine-MR images of the left ventricle with associated manual and automated segmentation
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In this paper, we describe a database of cine-MR (3D+t) images of the left ventricle. This database contains the voxel data, one automated and two manual segmentations for each sequence of images. The segmentations are validated from a clinical point of [...]

Cardiac motion estimation using multi-scale feature points
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Heart illnesses influence the functioning of the cardiac muscle and are the major causes of death in the world. Optic flow methods are essential tools to assess and quantify the contraction of the cardiac walls, but are hampered by the aperture problem. [...]


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