首页> 外文期刊>Inverse Problems: An International Journal of Inverse Problems, Inverse Methods and Computerised Inversion of Data >A nonlinear elastic deformable template for soft structure segmentation: application to the heart segmentation in MRI
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A nonlinear elastic deformable template for soft structure segmentation: application to the heart segmentation in MRI

机译:用于软结构分割的非线性弹性可变形模板:在MRI心脏分割中的应用

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摘要

This paper proposes a nonlinear 3D deformable model for the image segmentation of soft structures. The template is modelled as an elastic body which is deformed by forces derived from the image. It relies on a template, which is a topological, geometrical and material model of the structure to segment. This model is based on the nonlinear three-dimensional elasticity problem with a boundary condition of pure traction. In addition, the applied forces are successive, as they depend on the displacements. For computations, an incremental algorithm is proposed to minimize the global energy of template deformation. Sufficient conditions of the convergence for the incremental algorithm are given. Finally, a discrete algorithm using the finite element method is presented and evaluated on synthetic images and actual MR images of mouse hearts.
机译:本文提出了一种用于软结构图像分割的非线性3D变形模型。模板被建模为一个弹性体,该弹性体会因源自图像的力而变形。它依赖于模板,该模板是要分割的结构的拓扑,几何和材料模型。该模型基于具有纯牵引力边界条件的非线性三维弹性问题。另外,所施加的力是连续的,因为它们取决于位移。为了进行计算,提出了一种增量算法来最小化模板变形的整体能量。给出了增量算法收敛的充分条件。最后,提出了一种使用有限元方法的离散算法,并对小鼠心脏的合成图像和实际MR图像进行了评估。

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