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
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;
Conference_Titel :
Information Visualization, 2000. Proceedings. IEEE International Conference on
Conference_Location :
London
Print_ISBN :
0-7695-0743-3
DOI :
10.1109/IV.2000.859782