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dc.contributor.authorZhong, Yongmin
dc.contributor.authorGu, C.
dc.contributor.authorShirinzadeh, B.
dc.contributor.authorSmith, J.
dc.contributor.editorIan Howard
dc.identifier.citationZhong, Yongmin and Gu, Chengfan and Shirinzadeh, Bijian and Smith, Julian. 2010. Hopfield neural network for modeling of soft tissue deformation, in Howard, I. (ed), 6th Australian Congress on Applied Mechanics, Dec 12 2010. Perth, WA: Engineers Australia.

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.

dc.publisherEngineers Australia
dc.subjectHopfield neural network
dc.subjectmechanical load
dc.subjectsoft tissue deformation
dc.subjectand neural dynamics
dc.titleHopfield neural network for modeling of soft tissue deformation
dc.typeConference Paper
dcterms.source.titleProceedings of 6th Australian Congress on Applied Mechanics
dcterms.source.seriesProceedings of 6th Australian Congress on Applied Mechanics
dcterms.source.conference6th Australian Congress on Applied Mechanics
dcterms.source.conference-start-dateDec 12 2010
dcterms.source.conferencelocationPerth, Australia
dcterms.source.placePerth, Australia
curtin.departmentDepartment of Mechanical Engineering
curtin.accessStatusFulltext not available

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