DocumentCode :
2291311
Title :
Extracting geometric models of muscles from the visible human data
Author :
Dong, Feng ; Clapworthy, Gordon J. ; Yao, Jialiang ; Krokos, Meleagros
Author_Institution :
Dept. of Comput. & Inf. Sci., De Montfort Univ., Milton Keynes, UK
fYear :
2000
fDate :
2000
Firstpage :
362
Lastpage :
365
Abstract :
Muscle simulation should be an important component of human modelling, but to date there have been few attempts to demonstrate muscle structures in an anatomically-correct way. This paper proposes a feature-based approach to muscle modelling which attempts to provide models for human musculature based on the real anatomical structures. These models provide a good visual description and form a sound basis for further developments towards medically-accurate simulation of human bodies. To allow for the wide variety of muscle shapes encountered in the body, the geometric models are based on muscle features identified from radiological data. These results are realistic models with correct anatomical structures
Keywords :
computational geometry; digital simulation; medical computing; muscle; realistic images; anatomical structures; feature-based approach; geometric models; human modelling; medical simulation; muscle simulation; radiological data; realistic models; visible human data; visual description; Animation; Biological system modeling; Computational modeling; Computer simulation; Data mining; Humans; Joints; Muscles; Shape; Solid modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Visualization, 2000. Proceedings. IEEE International Conference on
Conference_Location :
London
ISSN :
1093-9547
Print_ISBN :
0-7695-0743-3
Type :
conf
DOI :
10.1109/IV.2000.859782
Filename :
859782
Link To Document :
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