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Segmentation of the Left Ventricle from Cine MR Images Using a Comprehensive Approach
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Segmentation of the left ventricle is important in assessment of cardiac functional parameters. Currently, manual segmentation is the gold standard for acquiring these parameters and can be time-consuming. Therefore, accuracy and automation are two important [...]

Challenge on Endocardial Three-dimensional Ultrasound Segmentation (CETUS)
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Real-time 3D echocardiography has already been shown to be an accurate tool for left ventricular (LV) volume assessment. However, LV border identification remains a challenging task, mainly because of the low contrast of the images combined with drop-out [...]

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 [...]

Automatic Image-Driven Segmentation of Left  Ventricle in Cardiac Cine MRI
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This study investigates a fully automatic left ventricle segmentation method from cine short axis MR images. Advantages of this method include that it: 1) is image-driven and does not require manually drawn initial contours. 2) provides not only endocardial [...]

Evaluation of the Dynamic Deformable Elastic Template model for the segmentation of the heart in MRI sequences
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We introduce a bio-inspired dynamic deformable (DET) model based on the equation of dynamics and including temporal smoothness constraints. The behaviour and characteristics of the dynamic DET model is studied in the context of the semi automatic [...]

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 [...]

LV Challenge LKEB Contribution: Fully Automated Myocardial Contour Detection
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In this paper a contour detection method is described and evaluated on the evaluation data sets of the Cardiac MR Left Ventricle Segmentation Challenge as part of MICCAI 2009’s 3D Segmentation Challenge for Clinical Applications. The proposed method, using [...]

Perspectives on Image-Guided Transapical Beating Heart Aortic Valve Intervention
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Image-guided interventional systems become an essential part of the modern minimally invasive surgical procedures, especially for the cardiac surgery. Transapical aortic valve implantation (TAVI) is a recently developed surgical technique to treat severe [...]

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 [...]

An open-source real-time ultrasound reconstruction system for four-dimensional imaging of moving organs
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Four-dimensional imaging is a necessary step in computer-assisted interventions (CAI) performed on moving surgical targets, such as those located within the beating heart or influenced by respiratory motion. Ultrasound (US) is often the best imaging modality [...]


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