关注我们: 登录 | 会员中心 | 手机版 | English

当前位置:中仿科技(CnTech)» 文献参考 » 自然科学研究与计算自然科学研究与计算
字体大小: 打印

Development of patient-specific biomechanical models for predicting large breast deformation

原文作者:
  Lianghao Han, John H Hipwell, Christine Tanner
发布时间:
  2014-08-14
来    源:
  Centre for Medical Image Computing, Department of Medical Physics and Bioengineering, University Col
下载链接:
Abstract
    Physically realistic simulations for large breast deformation are of great interest for many medical applications such as cancer diagnosis, image registration, surgical planning and image-guided surgery. To support fast, large deformation simulations of breasts in clinical settings, we proposed a patient-specific biomechanical modelling framework for breasts, based on an open-source graphics processing unit-based, explicit, dynamic, nonlinear finite element (FE) solver. A semi-automatic segmentation method for tissue classification, integrated with a fully automated FE mesh generation approach, was implemented for quick patient-specific FE model generation. To solvethe difficulty in determining material parameters of soft tissues in vivo for FE simulations, a novel method for breast modelling, with a simultaneous material model parameter optimization for soft tissues in vivo, was also proposed. The optimized deformation prediction was obtained through iteratively updating material model parameters to maximize the image similarity between the FE-predicted MR image and the experimentally acquired MR image of a breast. The proposed method was validated and tested by simulating  and analysing breast deformation experiments under plate compression. Its prediction accuracywas evaluated by calculating landmark displacement errors.  The results showed that both the heterogeneity and the anisotropy of soft tissues were essential in predicting large breast deformations under plate compression.As a generalized method, the proposed process can be used for fast deformation analyses of soft tissues in medical image analyses and surgical simulations.
(Some figures may appear in colour only in the online journal)
``````