On active contour models and balloons
CVGIP: Image Understanding
A Comparison of Algorithms for Connected Set Openings and Closings
IEEE Transactions on Pattern Analysis and Machine Intelligence
Myocardial Delineation via Registration in a Polar Coordinate System
MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part I
Automatic Segmentation of the Left Ventricle in Cardiac MR and CT Images
International Journal of Computer Vision
Automatic segmentation of the left ventricle cavity and myocardium in MRI data
Computers in Biology and Medicine
Snakes, shapes, and gradient vector flow
IEEE Transactions on Image Processing
Computers in Biology and Medicine
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A novel approach to segment cardiac magnetic resonance (CMR) images is presented in order to overcome some challenges such as problems with papillary muscles and the non homogeneities of the cavity due to blood flow. It consists in filtering short axis CMR images, using connected operators (area-open and area-close filters) to homogenize the cavity, prior to the segmentation which is performed using GVF-Snake algorithm in two steps. Validation was performed on thirty-nine slices by comparing resulting segmentation to the manual contours traced by an expert. This comparison showed good results with an overall average similarity area of 90.7% and an average distance between the two contours of 0.6 pixel.