A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
Journal of Computational Physics
Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Boundary Finding with Parametrically Deformable Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Modeling with Front Propagation: A Level Set Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
MR functional cardiac imaging: segmentation, measurement and WWW based visualisation of 4D data
Future Generation Computer Systems - Special issue on ITIS—an international telemedical information society
Advanced algorithmic approaches to medical image segmentation: state-of-the-art application in cardiology, neurology, mammography and pathology
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Robust Active Shape Model Search
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Real-Time Interactive Path Extraction with on-the-Fly Adaptation of the External Forces
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Automating 3D Echocardiographic Image Analysis
MICCAI '00 Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Cardiac image analysis: morphology, function, and dynamics
Cardiac image analysis: morphology, function, and dynamics
FIMH'07 Proceedings of the 4th international conference on Functional imaging and modeling of the heart
Segmentation of 4D cardiac MRI: Automated method based on spatio-temporal watershed cuts
Image and Vision Computing
Homogeneity- and density distance-driven active contours for medical image segmentation
Computers in Biology and Medicine
Global assessment of cardiac function using image statistics in MRI
MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
SQL based cardiovascular ultrasound image classification
International Journal of Data Mining and Bioinformatics
Comparative study of segmentation methods for tree leaves extraction
Proceedings of the International Workshop on Video and Image Ground Truth in Computer Vision Applications
Accurate reconstruction of 3D cardiac geometry from coarsely-sliced MRI
Computer Methods and Programs in Biomedicine
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A novel approach for the automatic segmentation has been developed to extract the epi-cardium and endo-cardium boundaries of the left ventricle (lv) of the heart. The developed segmentation scheme takes multi-slice and multi-phase magnetic resonance (MR) images of the heart, transversing the short-axis length from the base to the apex. Each image is taken at one instance in the heart's phase. The images are segmented using a diffusion-based filter followed by an unsupervised clustering technique and the resulting labels are checked to locate the (lv) cavity. From cardiac anatomy, the closest pool of blood to the lv cavity is the right ventricle cavity. The wall between these two blood-pools (interventricular septum) is measured to give an approximate thickness for the myocardium. This value is used when a radial search is performed on a gradient image to find appropriate robust segments of the epi-cardium boundary. The robust edge segments are then joined using a normal spline curve. Experimental results are presented with very encouraging qualitative and quantitative results and a comparison is made against the state-of-the art level-sets method.