Document Detail

Fast collision detection methods for joint surfaces.
MedLine Citation:
PMID:  19062019     Owner:  NLM     Status:  MEDLINE    
In the recent years medical diagnosis and surgery planning often require the precise evaluation of joint movements. This has led to exploit reconstructed three-dimensional models of the joint tissues obtained from CT or MR Images (for bones, cartilages, etc.). In such context, efficiently and precisely detecting collisions among the virtual tissues is critical for guaranteeing the quality of any further analysis. The common methods of collision detection are usually designed for general purpose applications in computer graphics or CAD-CAM. Hence they face worst case scenarios when handling the quasi-perfect concavity-convexity matching of the articular surfaces. In this paper, we present two fast collision detection methods that take advantage of the relative proximity and the nature of the movement to discard unnecessary calculations. The proposed approaches also accurately provide the penetration depths along two functional directions, without any approximation. They are compared with other collision detection methods and tested in different biomedical scenarios related to the human hip joint.
Ehsan Arbabi; Ronan Boulic; Daniel Thalmann
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2008-12-04
Journal Detail:
Title:  Journal of biomechanics     Volume:  42     ISSN:  0021-9290     ISO Abbreviation:  J Biomech     Publication Date:  2009 Jan 
Date Detail:
Created Date:  2009-01-16     Completed Date:  2009-03-11     Revised Date:  2009-11-11    
Medline Journal Info:
Nlm Unique ID:  0157375     Medline TA:  J Biomech     Country:  United States    
Other Details:
Languages:  eng     Pagination:  91-9     Citation Subset:  IM    
Virtual Reality Laboratory, Ecole Polytechnique Fédérale de Lausanne (EPFL), Station 14, 1015 Lausanne, Switzerland.
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MeSH Terms
Computer Simulation*
Hip Joint / anatomy & histology,  physiology
Joints / anatomy & histology*,  physiology*
Time Factors

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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