Cardiac MR Left Ventricle Segmentation Challenge

Private issue (*)

Title
Rating
Authors
Reviews
Status
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Evaluation Framework for Algorithms Segmenting Short Axis Cardiac MRI.
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Radau P., Lu Y., Connelly K., Paul G., Dick A.J., Wright G.A.
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Open for public review
Segmentation of the Left Ventricle from Cine MR Images Using a Comprehensive Approach
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Huang S., Liu J., Lee L.C., Venkatesh S.K., Teo L.L.S., Au C., Nowinski W.L.
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Open for public review
Automatic Image-Driven Segmentation of Left Ventricle in Cardiac Cine MRI
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Lu Y., Radau P., Connelly K., Dick A., Wright G.
0
Open for public review
4D Morphological segmentation and the MICCAI LV-segmentation grand challenge
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Marak L., Cousty J., Najman L., Talbot H.
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Open for public review
Segmenting the Left Ventricle in 3D Using a Coupled ASM and a Learned Non-Rigid Spatial Model
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O'Brien S., Ghita O., Whelan P.F.
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Open for public review
Fully Automatic Left Ventricle Segmentation in Cardiac Cine MR Images Using Registration and Minimum Surfaces
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Jolly M.
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Open for public review
Semi-automated cardiac segmentation on cine magnetic resonance images using GVF-Snake deformable models
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Constantinides C., Chenoune Y., Kachenoura N., Roullot E., Mousseaux E., Herment A., Frouin F.
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Open for public review
Evaluation of the Dynamic Deformable Elastic Template model for the segmentation of the heart in MRI sequences
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Casta C., Clarysse P., Schaerer J., Pousin J.
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Open for public review
LV Challenge LKEB Contribution: Fully Automated Myocardial Contour Detection
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Wijnhout J., Hendriksen D., Van Assen H., Van der Geest R.
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Open for public review


* This issue doesn't make papers available without approval by the editor. Some papers might not be approved yet.


This challenge is part of MICCAI 2009’s 3D Segmentation Challenge for Clinical Applications (visit website). In the challenge, participants enter their best software algorithm to find LV contours automatically, with little or no user intervention. The goal of this contest is to compare state-of-the-art LV segmentation methods by providing an evaluation system and a database of cardiac cine MR images and expert contours freely available on the internet for research purposes. The database will contain 45 cine-MRI images from a range of patients and pathology, together with the manual segmentations determined by an experienced cardiologist on the end-diastolic (ED) and end-systolic (ES) phases. The data will be provided by Sunnybrook Health Sciences Centre.
This issue was created the 06-10-2009, the paperdue date is 07-15-2009, the decision date is 07-27-2009, the publication date is 08-11-2009


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