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Title: A 3D convex hull algorithm for modelling medical data in a virtual environment
Authors: Yaacoub, Fadi
Hamam, Yskandar
Abche, Antoine 
Affiliations: Department of Electrical Engineering 
Keywords: Surgical simulation
Convex hull
Computational geometry
Collision detection
3D modelling
Medical data
Surgery training
Anatomical structures
Surgical operations
Healthcare technology
Wrist done
Knee bones
Anatomy modelling
Subjects: Virtual reality
Issue Date: 2008
Part of: International journal of intelligent systems technologies and applications
Volume: 5
Issue: 1/2
Start page: 3
End page: 19
Computer-based surgical simulation systems are one of the most recent technologies in Virtual Reality (VR). These intelligent systems have become the training method and the tool to acquire valuable information for many medical students. They allow the students to interact with the anatomical structures by modelling and displaying virtual objects on the computer screen. Since a real object does not have a deterministic shape, it is impossible to derive a geometric equation for modelling purposes. Thus, alternative approaches are based on Convex Hull (CH) algorithms to construct the convex envelope of any object and to simulate a realistic environment with exact Collision Detection (CD) between objects during the training on a surgical operation. In this paper, a hybrid approach to generate the CH is developed and presented. The new algorithm is validated by performing a comparison with three conventional methods, namely, the Gift Wrapping, the QuickHull and the Chan algorithm. The evaluation is achieved by generating the convex envelopes of 3D wrist and knee bones. The results show the improvement associated with the proposed approach.
Type: Journal Article
Appears in Collections:Department of Electrical Engineering

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