Hopfield neural network for modeling of soft tissue deformation
This paper presents a new methodology for soft tissue deformation by using neural dynamics. This methodology combines neural propagation of mechanical load and non-rigid mechanics of motion to govern the dynamics of soft tissue deformation. The mechanical load applied to a soft tissue to cause a def...
| Main Authors: | , , , |
|---|---|
| Other Authors: | |
| Format: | Conference Paper |
| Published: |
Engineers Australia
2010
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/33362 |
| _version_ | 1848753925019140096 |
|---|---|
| author | Zhong, Yongmin Gu, C. Shirinzadeh, B. Smith, J. |
| author2 | Ian Howard |
| author_facet | Ian Howard Zhong, Yongmin Gu, C. Shirinzadeh, B. Smith, J. |
| author_sort | Zhong, Yongmin |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper presents a new methodology for soft tissue deformation by using neural dynamics. This methodology combines neural propagation of mechanical load and non-rigid mechanics of motion to govern the dynamics of soft tissue deformation. The mechanical load applied to a soft tissue to cause a deformation is treated as the input of neural network and distributed among mass points of the soft tissue according to neural dynamics. A Hopfield neural network model is developed to describe the distribution of the mechanical load in the tissue. Methods are established for construction of the neural network model on a 3D tissue surface and for derivation of internal forces from the distribution of the mechanical load. Experiments have been conducted, demonstrating that the proposed methodology cannot only deal with large-range deformation, but it can also accommodate isotropic, anisotropic and inhomogeneous materials by simply modifying the control coefficient. |
| first_indexed | 2025-11-14T08:32:15Z |
| format | Conference Paper |
| id | curtin-20.500.11937-33362 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:32:15Z |
| publishDate | 2010 |
| publisher | Engineers Australia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-333622017-01-30T13:36:43Z Hopfield neural network for modeling of soft tissue deformation Zhong, Yongmin Gu, C. Shirinzadeh, B. Smith, J. Ian Howard Hopfield neural network mechanical load soft tissue deformation and neural dynamics This paper presents a new methodology for soft tissue deformation by using neural dynamics. This methodology combines neural propagation of mechanical load and non-rigid mechanics of motion to govern the dynamics of soft tissue deformation. The mechanical load applied to a soft tissue to cause a deformation is treated as the input of neural network and distributed among mass points of the soft tissue according to neural dynamics. A Hopfield neural network model is developed to describe the distribution of the mechanical load in the tissue. Methods are established for construction of the neural network model on a 3D tissue surface and for derivation of internal forces from the distribution of the mechanical load. Experiments have been conducted, demonstrating that the proposed methodology cannot only deal with large-range deformation, but it can also accommodate isotropic, anisotropic and inhomogeneous materials by simply modifying the control coefficient. 2010 Conference Paper http://hdl.handle.net/20.500.11937/33362 Engineers Australia restricted |
| spellingShingle | Hopfield neural network mechanical load soft tissue deformation and neural dynamics Zhong, Yongmin Gu, C. Shirinzadeh, B. Smith, J. Hopfield neural network for modeling of soft tissue deformation |
| title | Hopfield neural network for modeling of soft tissue deformation |
| title_full | Hopfield neural network for modeling of soft tissue deformation |
| title_fullStr | Hopfield neural network for modeling of soft tissue deformation |
| title_full_unstemmed | Hopfield neural network for modeling of soft tissue deformation |
| title_short | Hopfield neural network for modeling of soft tissue deformation |
| title_sort | hopfield neural network for modeling of soft tissue deformation |
| topic | Hopfield neural network mechanical load soft tissue deformation and neural dynamics |
| url | http://hdl.handle.net/20.500.11937/33362 |