MICCAI 2009 Workshop: Cardiac MR Left Ventricle Segmentation Challenge

Issue

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.

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Evaluation of the Dynamic Deformable Elastic Template model for the segmentation of the heart in MRI sequences

Casta, Christopher, Clarysse, Patrick, Schaerer, Joël, Pousin, Jérome

Segmentation evaluation, Spatio-temporal segmentation, cardiac image segmentation

Evaluation Framework for Algorithms Segmenting Short Axis Cardiac MRI.

Radau, Perry, Lu, Yingli, Connelly, Kim, Paul, Gideon, Dick, Alexander J, Wright, Graham A

cardiac, segmentation, evaluation, MRI

4D Morphological segmentation and the MICCAI LV-segmentation grand challenge

Marak, László, Cousty, Jean, Najman, Laurent, Talbot, Hugues

medical imaging, watershed, validation, interactive procedure, heart segmentation, mathematical morphology

Semi-automated cardiac segmentation on cine magnetic resonance images using GVF-Snake deformable models

Constantinides, Constantin, Chenoune, Yasmina, Kachenoura, Nadjia, Roullot, Elodie, Mousseaux, Elie, Herment, Alain, Frouin, Frederique

cine MRI, deformation models, segmentation, evaluation

Automatic Image-Driven Segmentation of Left Ventricle in Cardiac Cine MRI

Lu, YingLi, Radau, Perry, Connelly, Kim, Dick, Alexander, Wright, Graham

MR, cardiac, left ventricle, segmentation

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