Marching cubes: A high resolution 3D surface construction algorithm
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Curves and surfaces for computer aided geometric design: a practical guide
Curves and surfaces for computer aided geometric design: a practical guide
Active shape models—their training and application
Computer Vision and Image Understanding
Surgical simulator for hysteroscopy: a case study of visualization in surgical training
Proceedings of the conference on Visualization '01
Generation of Pathologies for Surgical Training Simulators
MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part II
Multiscale Medial Loci and Their Properties
International Journal of Computer Vision - Special Issue on Research at the University of North Carolina Medical Image Display Analysis Group (MIDAG)
Virtual Reality-Based Simulation of Endoscopic Surgery
Presence: Teleoperators and Virtual Environments
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Realistic generation of variable anatomical organ models and pathologies are crucial for a sophisticated surgical training simulator. A training scene needs to be different in every session in order to exhaust the full potential of virtual reality based training. We previously reported on a cellular automaton able to generate leiomyomas found in the uterine cavity. This paper presents an alternative approach for the design of macroscopic findings of pathologies and describes the incorporation of these models into a healthy virtual organ. The pathologies implemented are leiomyomas and polyps protruding to different extents into the uterine cavity. The results presented are part of a virtual reality based hysteroscopy simulator that is under development.