Publication

Evaluation and visualization of stress and strain on soft biological tissues in contact

Daniel Thalmann, Ronan Boulic
2004
Conference Papers

Abstract

This paper addresses evaluation and visualization of stress and strain on soft biological tissues in contact given three-dimensional models of reconstructed organs from magnetic resonance images (MRI), we use an anatomy-based kinematical model combined with a soft tissues model to represent their shape and behavior. Then, we compute resulting distribution of stress and strain on deforming surface when motion is simulated. The computed stress and strain are then effectively visualized using an interactive animation framework. Experimental results are illustrated in the case of the hip joint cartilage.

Official source

https://infoscience.epfl.ch/entities/publication/d8392275-6fe2-4c4c-b0f0-cc0191db9a92

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Daniel Thalmann, Ronan Boulic
2004
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/d8392275-6fe2-4c4c-b0f0-cc0191db9a92

About this result

Related concepts (32)

Normal distribution

In statistics, a normal distribution or Gaussian distribution is a type of continuous probability distribution for a real-valued random variable. The general form of its probability density function is The parameter is the mean or expectation of the distribution (and also its median and mode), while the parameter is its standard deviation. The variance of the distribution is . A random variable with a Gaussian distribution is said to be normally distributed, and is called a normal deviate.

Multivariate normal distribution

In probability theory and statistics, the multivariate normal distribution, multivariate Gaussian distribution, or joint normal distribution is a generalization of the one-dimensional (univariate) normal distribution to higher dimensions. One definition is that a random vector is said to be k-variate normally distributed if every linear combination of its k components has a univariate normal distribution. Its importance derives mainly from the multivariate central limit theorem.

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Evaluation and visualization of stress and strain on soft biological tissues in contact

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