Cellular neural network modelling of soft tissue dynamics for surgical simulation
نویسندگان
چکیده
منابع مشابه
Tissue Engineered Organoids for Neural Network Modelling
The use of cells as building materials provides a powerful tool to the fields of both regenerative medicine as a broad aspect and in particular to tissue engineering, with the potential to deliver a tremendous amount of information both in vivo as cellbased therapies and/or in vitro as cell models. Combining cells with specialized biomaterials, suitable biochemical growth/ differentiation facto...
متن کاملTissue Engineered Organoids for Neural Network Modelling
The use of cells as building materials provides a powerful tool to the fields of both regenerative medicine as a broad aspect and in particular to tissue engineering, with the potential to deliver a tremendous amount of information both in vivo as cellbased therapies and/or in vitro as cell models. Combining cells with specialized biomaterials, suitable biochemical growth/ differentiation facto...
متن کاملReal-time soft tissue modelling for web-based surgical simulation: SurfaceChainMail.
The Web provides a useful environment for simple surgical training simulations. A combination of VRML for 3D rendering, and Java code for the simulation engine, has been used for a range of simple neurosurgical demonstrators. However the elements in these simulators are rigid, to avoid the computational complexity of deformable modelling. In this paper we describe a variation of the ChainMail t...
متن کاملMeshless algorithm for soft tissue cutting in surgical simulation.
Computation of soft tissue mechanical responses for surgery simulation and image-guided surgery has been dominated by the finite element (FE) method that utilises a mesh of interconnected elements as a computational grid. Shortcomings of such mesh-based discretisation in modelling of surgical cutting include high computational cost and the need for re-meshing in the vicinity of cutting-induced ...
متن کاملDeformable Object Modelling Through Cellular Neural Network
This paper presents a new methodology for the deformable object modelling by drawing an analogy between cellular neural network (CNN) and elastic deformation. The potential energy stored in an elastic body as a result of a deformation caused by an external force is propagated among mass points by the non-linear CNN activity. An improved autonomous CNN model is developed for propagating the ener...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Technology and Health Care
سال: 2017
ISSN: 0928-7329,1878-7401
DOI: 10.3233/thc-171337