Distance transformations in digital images
Computer Vision, Graphics, and Image Processing
On active contour models and balloons
CVGIP: Image Understanding
Fuzzy Sets and Systems - Special issue on fuzzy methods for computer vision and pattern recognition
Fuzzy Relative Position Between Objects in Image Processing: A Morphological Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Gradient vector flow deformable models
Handbook of medical imaging
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
Gradient Vector Flow: A New External Force for Snakes
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Real-Time Imaging - Special issue on imaging in bioinformatics: Part III
Graph Cuts and Efficient N-D Image Segmentation
International Journal of Computer Vision
Automatic Segmentation of the Left Ventricle in Cardiac MR and CT Images
International Journal of Computer Vision
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
CT-PET Landmark-based Lung Registration Using a Dynamic Breathing Model
ICIAP '07 Proceedings of the 14th International Conference on Image Analysis and Processing
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Real-time deformable models for surgery simulation: a survey
Computer Methods and Programs in Biomedicine
Automatic segmentation of the left ventricle cavity and myocardium in MRI data
Computers in Biology and Medicine
FIMH'05 Proceedings of the Third international conference on Functional Imaging and Modeling of the Heart
On the ternary spatial relation "Between"
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Snakes, shapes, and gradient vector flow
IEEE Transactions on Image Processing
Fast and automatic heart isolation in 3D CT volumes: optimal shape initialization
MLMI'10 Proceedings of the First international conference on Machine learning in medical imaging
Automatic heart isolation in 3d CT images
MCV'12 Proceedings of the Second international conference on Medical Computer Vision: recognition techniques and applications in medical imaging
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Segmenting the heart in medical images is a challenging and important task for many applications. In particular, segmenting the heart in CT images is very useful for cardiology and oncological applications such as radiotherapy. Although the majority of methods in the literature are designed for ventricle segmentation, there is a real interest in segmenting the heart as a whole in this modality. In this paper, we address this problem and propose an automatic and robust method, based on anatomical knowledge about the heart, in particular its position with respect to the lungs. This knowledge is represented in a fuzzy formalism and it is used both to define a region of interest and to drive the evolution of a deformable model in order to segment the heart inside this region. The proposed method has been applied on non-contrast CT images and the obtained results have been compared to manual segmentations of the heart, showing the good accuracy and high robustness of our approach.