Neural networks approach for soft tissue modelling

S. Nefti, El-mabruk Abulgasem
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Abstract

Fast, realistic physically based deformable models are required for real time Virtual Reality applications such as surgical simulators. The main focus of this paper is to introduce a Neural Network based deformable model called NNDM that is fast enough to allow interactive frame rates and produces a plausible deformation. The main idea is to introduce the neural networks to approximate the deformation and the transmission of the force from the manipulated vertex to its adjacent neighbors and from those neighbors to their neighbors and so on, also the deformation can be simulated locally or globally. The model is tested on virtual objects those modeled as surface mesh and integrated in an interactive Cataract Eye Surgery Simulator to model the deformation of eye tissues when it is manipulated with surgical instrument.
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神经网络方法在软组织建模中的应用
实时虚拟现实应用(如外科模拟器)需要快速,逼真的基于物理的可变形模型。本文的主要重点是介绍一种基于神经网络的可变形模型,称为NNDM,该模型足够快,可以允许交互帧速率并产生合理的变形。其主要思想是引入神经网络来逼近变形和从被操纵顶点到其相邻顶点的力传递,以及从这些顶点到其相邻顶点的力传递等等,并且变形可以局部或全局模拟。该模型在虚拟对象上进行了测试,将其建模为表面网格,并集成到交互式白内障眼手术模拟器中,以模拟手术器械操作时眼组织的变形。
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