Isoperimetric Partitioning: A New Algorithm for Graph Partitioning
SIAM Journal on Scientific Computing
Automatic Segmentation of the Left Ventricle in Cardiac MR and CT Images
International Journal of Computer Vision
Automated detection of left ventricle in 4d MR images: experience from a large study
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Left Ventricle Segmentation via Graph Cut Distribution Matching
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II
A convex max-flow segmentation of LV using subject-specific distributions on cardiac MRI
IPMI'11 Proceedings of the 22nd international conference on Information processing in medical imaging
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
Automatic segmentation of the myocardium in cine MR images using deformable registration
STACOM'11 Proceedings of the Second international conference on Statistical Atlases and Computational Models of the Heart: imaging and modelling challenges
Performance divergence with data discrepancy: a review
Artificial Intelligence Review
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We present a method for automatic localization and rough segmentation of the left ventricle blood pool in cardiac cine magnetic resonance images. The method first detects the whole heart using time-based Fourier analysis. It then segments the left ventricle blood pool by grouping connected components across slices using isoperimetric clustering. The system was tested on 253 datasets and failed in only 2 cases.