Modelling Rod-Like Flexible Biological Tissues for Medical Training

This source preferred by Jian Chang and Jian Jun Zhang

Authors: Chang, J., Pan, J. and Zhang, J.J.

http://eprints.bournemouth.ac.uk/13092/

Publisher: Springer

Place of Publication: Berlin

ISBN: 9783642104688

This paper outlines a framework for the modelling of slender rod-like biological tissue structures in both global and local scales. Volumetric discretization of a rod-like structure is expensive in computation and therefore is not ideal for applications where real-time performance is essential. In our approach, the Cosserat rod model is introduced to capture the global shape changes, which models the structure as a one-dimensional entity, while the local deformation is handled separately. In this way a good balance in accuracy and efficiency is achieved. These advantages make our method appropriate for the modelling of soft tissues for medical training applications.

This data was imported from DBLP:

Authors: Chang, J., Pan, J. and Zhang, J.J.

Editors: Magnenat-Thalmann, N.

http://eprints.bournemouth.ac.uk/13092/

https://doi.org/10.1007/978-3-642-10470-1

Volume: 5903

Pages: 51-61

Publisher: Springer

ISBN: 978-3-642-10468-8

This data was imported from Scopus:

Authors: Chang, J., Pan, J. and Zhang, J.J.

http://eprints.bournemouth.ac.uk/13092/

Volume: 5903 LNCS

Pages: 51-61

DOI: 10.1007/978-3-642-10470-1_5

This paper outlines a framework for the modelling of slender rod-like biological tissue structures in both global and local scales. Volumetric discretization of a rod-like structure is expensive in computation and therefore is not ideal for applications where real-time performance is essential. In our approach, the Cosserat rod model is introduced to capture the global shape changes, which models the structure as a one-dimensional entity, while the local deformation is handled separately. In this way a good balance in accuracy and efficiency is achieved. These advantages make our method appropriate for the modelling of soft tissues for medical training applications. © Springer-Verlag Berlin Heidelberg 2009.

This data was imported from Web of Science (Lite):

Authors: Chang, J., Pan, J. and Zhang, J.J.

http://eprints.bournemouth.ac.uk/13092/

Volume: 5903

Pages: 51-61

ISBN: 978-3-642-10468-8

The data on this page was last updated at 04:51 on October 15, 2018.