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利用MRI数据对人体乳房进行生物力学三维有限元建模。

Biomechanical 3-D finite element modeling of the human breast using MRI data.

作者信息

Samani A, Bishop J, Yaffe M J, Plewes D B

机构信息

Department of Medical Biophysics, Sunnybrook and Women's College Health Sciences Centre, University of Toronto, ON, Canada.

出版信息

IEEE Trans Med Imaging. 2001 Apr;20(4):271-9. doi: 10.1109/42.921476.

DOI:10.1109/42.921476
PMID:11370894
Abstract

Breast tissue deformation modeling has recently gained considerable interest in various medical applications. A biomechanical model of the breast is presented using a finite element (FE) formulation. Emphasis is given to the modeling of breast tissue deformation which takes place in breast imaging procedures. The first step in implementing the FE modeling (FEM) procedure is mesh generation. For objects with irregular and complex geometries such as the breast, this step is one of the most difficult and tedious tasks. For FE mesh generation, two automated methods are presented which process MRI breast images to create a patient-specific mesh. The main components of the breast are adipose, fibroglandular and skin tissues. For modeling the adipose and fibroglandular tissues, we used eight noded hexahedral elements with hyperelastic properties, while for the skin, we chose four noded hyperelastic membrane elements. For model validation, an MR image of an agarose phantom was acquired and corresponding FE meshes were created. Based on assigned elasticity parameters, a numerical experiment was performed using the FE meshes, and good results were obtained. The model was also applied to a breast image registration problem of a volunteer's breast. Although qualitatively reasonable, further work is required to validate the results quantitatively.

摘要

乳房组织变形建模最近在各种医学应用中引起了相当大的关注。本文提出了一种使用有限元(FE)公式的乳房生物力学模型。重点在于对乳房成像过程中发生的乳房组织变形进行建模。实施有限元建模(FEM)过程的第一步是网格生成。对于诸如乳房这种具有不规则和复杂几何形状的物体,这一步是最困难且最繁琐的任务之一。对于有限元网格生成,提出了两种自动化方法,它们处理MRI乳房图像以创建特定患者的网格。乳房的主要组成部分是脂肪组织、纤维腺组织和皮肤组织。为了对脂肪组织和纤维腺组织进行建模,我们使用了具有超弹性特性的八节点六面体单元,而对于皮肤,我们选择了四节点超弹性膜单元。为了进行模型验证,获取了琼脂糖模型的MR图像并创建了相应的有限元网格。基于指定的弹性参数,使用有限元网格进行了数值实验,并获得了良好的结果。该模型还应用于一名志愿者乳房的图像配准问题。尽管定性上合理,但仍需要进一步的工作来对结果进行定量验证。

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