Myocardial borders segmentation from cine MR images using bidirectional coupled parametric deformable models

Keyphrases

• Dice Similarity Coefficient 100%
• Average Distance 100%
• Visual Appearance 100%
• Segmentation Approach 100%
• Parametric Deformable Model 100%
• Superior Performance 66%
• Coefficient Value 66%
• Distance Parameter 66%
• Left Ventricle 66%
• Rotation Invariance 66%
• Cine 66%
• Cardiac Magnetic Resonance 66%
• First-order 33%
• Publicly Available 33%
• EM Algorithm 33%
• Deformable Models 33%
• Accurate Estimation 33%
• Segmentation Method 33%
• End-systolic Volume 33%
• Performance Index 33%
• End-diastolic Volume 33%
• Ejection Fraction 33%
• Cardiac Performance 33%
• Bland-Altman Analysis 33%
• Level Set Method 33%
• Global Performance 33%
• Automatic Segmentation 33%
• Translational Invariance 33%
• Ground Truth Segmentation 33%
• Magnetic Resonance Signal 33%
• Gaussian Parameters 33%
• MICCAI 33%

Computer Science

• Segmentation Approach 100%
• Visual Appearance 100%
• Deformable Model 100%
• Coefficient Value 66%
• Linear Combination 66%
• Superior Performance 66%
• Gibbs Free Energy 66%
• Rotation Invariant 33%
• Segmentation Method 33%
• level-set method 33%
• Proposed Modification 33%

Engineering

• Deformable Model 100%
• Similarities 100%
• Gaussians 66%
• Random Field 66%
• Linear Combination 66%
• Segmentation Method 33%
• EM Algorithm 33%
• Level Set Method 33%
• End Diastolic Volume 33%