Journal article
Point‐cloud method for image‐based biomechanical stress analysis
International journal for numerical methods in biomedical engineering, Vol.27(10), pp.1493-1506
10/2011
DOI: 10.1002/cnm.1432
Abstract
This paper introduces a point‐cloud method for the stress analysis in biological systems. The method takes a point‐cloud as the geometric input. Each point represents a small material volume that is assumed to undergo a uniform deformation during motion. The strain at each point is computed from the relative displacements of a set of neighboring points. Delaunay tessellation is utilized to provide the neighboring relation and the point volume. An efficient method is developed to extract point‐cloud model from medical images. An aorta inflation problem and a skull impact problem are presented to demonstrate the utility of the method. Copyright © 2011 John Wiley & Sons, Ltd.
Details
- Title: Subtitle
- Point‐cloud method for image‐based biomechanical stress analysis
- Creators
- Jing QianJia Lu
- Resource Type
- Journal article
- Publication Details
- International journal for numerical methods in biomedical engineering, Vol.27(10), pp.1493-1506
- DOI
- 10.1002/cnm.1432
- ISSN
- 2040-7939
- eISSN
- 2040-7947
- Publisher
- John Wiley & Sons, Ltd; Chichester, UK
- Number of pages
- 14
- Language
- English
- Date published
- 10/2011
- Academic Unit
- Mechanical Engineering
- Record Identifier
- 9984064580502771
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