DocumentCode :
1793709
Title :
Development of a multi-component CAD model of human elbow structure
Author :
Mehta, Sharad ; Vishnoi, Akshay ; Gupta, Arpan
Author_Institution :
Dept. of Mech. Eng., Graphic Era Univ., Dehradun, India
fYear :
2014
fDate :
7-8 Nov. 2014
Firstpage :
146
Lastpage :
151
Abstract :
The research work presented in this paper explores the area of bio-medical imaging. In this work, a multi-component CAD (Computer Aided Design) model of human elbow structure has been developed. Biomedical images such as computerized tomography scan (CT scan) and magnetic resonance images (MRI) are taken as input data, which are further manipulated and segmented to result in an accurate CAD model of human elbow. By varying the segmentation methods and parameters, multi-component model of whole elbow structure is obtained as an assembly of bone, soft tissue and skin. The segmentation is performed using an open source software ITK snap. The segmented 3D CAD model of human elbow structure can be used for engineering analysis, such as stress analysis, vibration analysis, and force analysis. Artificial body parts, handicap aids, and sport safety equipments can be designed by implementing rapid prototyping on the multi-component model developed.
Keywords :
CAD; image segmentation; medical image processing; public domain software; safety; software prototyping; ITK snap; artificial body parts; biomedical imaging; computer aided design; handicap aids; human elbow structure; image segmentation; multicomponent CAD model; open source software; rapid prototyping; sport safety equipments; Biological system modeling; Design automation; Elbow; Image edge detection; Image segmentation; Solid modeling; Three-dimensional displays; Biomechanics; CT scan; MRI images; biomedical images; multi-component CAD model; segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Medical Imaging, m-Health and Emerging Communication Systems (MedCom), 2014 International Conference on
Conference_Location :
Greater Noida
Print_ISBN :
978-1-4799-5096-6
Type :
conf
DOI :
10.1109/MedCom.2014.7005993
Filename :
7005993
Link To Document :
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