Dynamic 3D Models with Local and Global Deformations: Deformable Superquadrics
IEEE Transactions on Pattern Analysis and Machine Intelligence
2D & 3D figural models of anatomic objects from medical images
ISMM '98 Proceedings of the fourth international symposium on Mathematical morphology and its applications to image and signal processing
Artificial life for computer graphics
Communications of the ACM
Medical Image Analysis: Progress over Two Decades and the Challenges Ahead
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Adaptive-Focus Deformable Model Using Statistical and Geometric Information
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Unified Framework for Atlas Matching Using Active Appearance Models
IPMI '99 Proceedings of the 16th International Conference on Information Processing in Medical Imaging
MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
Deformable M-Reps for 3D Medical Image Segmentation
International Journal of Computer Vision - Special Issue on Research at the University of North Carolina Medical Image Display Analysis Group (MIDAG)
An Automated Segmentation Method of Kidney Using Statistical Information
MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part I
Image Registration of Sectioned Brains
International Journal of Computer Vision
A Novel Image Segmentation Algorithm Based on Artificial Ant Colonies
Medical Imaging and Informatics
An artificial ant colonies approach to medical image segmentation
Computer Methods and Programs in Biomedicine
Watershed segmentation using prior shape and appearance knowledge
Image and Vision Computing
A level set bridging force for the segmentation of dendritic spines
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Hierarchical vibrations for part-based recognition of complex objects
Pattern Recognition
A modification of the level set speed function to bridge gaps in data
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
Spinal crawlers: deformable organisms for spinal cord segmentation and analysis
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
A multi-agent system for image segmentation a bio-inspired approach
ISIICT'09 Proceedings of the Third international conference on Innovation and Information and Communication Technology
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We introduce a new paradigm for automatic medical image analysis that adopts concepts from the field of Artificial Life. Our approach prescribes deformable organisms, autonomous agents whose objective is the segmentation and analysis of anatomical structures in medical images. A deformable organism is structured as a 'muscle'-actuated 'body' whose behavior is controlled by a 'brain' that is capable of making both reactive and deliberate decisions. This intelligent deformable model possesses an 'awareness' of the segmentation process, which emerges from a conflux of perceived sensory data, an internal mental state, memorized knowledge, and a cognitive plan. We develop a class of deformable organisms using a medial representation of body morphology that facilitates a variety of controlled local deformations at multiple spatial scales. Specifically, we demonstrate a deformable 'worm' organism that can overcome noise, incomplete edges, considerable anatomical variation, and occlusion in order to segment and label the corpus callosum in 2D mid-sagittal MR images of the brain.