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An Electrostatic Deformable Model for Medical Image Segmentation

机译:用于医学图像分割的静电可变形模型

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摘要

A new deformable model, the charged fluid model (CFM), that uses the simulation of charged elements was used to segment medical images. Poisson's equation was used to guide the evolution of the CFM in two steps. In the first step, the elements of the charged fluid were distributed along the propagating interface until electrostatic equilibrium was achieved. In the second step, the propagating front of the charged fluid was deformed in response to the image gradient. The CFM provided sub-pixel precision, required only one parameter setting, and required no prior knowledge of the anatomy of the segmented object. The characteristics of the CFM were compared to existing deformable models using CT and MR images. The results indicate that the CFM is a promising approach for the segmentation of anatomic structures in a wide variety of medical images across different modalities.
机译:一种新的可变形模型,即带电流体模型(CFM),该模型使用带电元素的模拟来分割医学图像。泊松方程用于指导CFM的演变,分为两个步骤。第一步,将带电流体的元素沿传播界面分布,直到实现静电平衡。在第二步骤中,带电流体的传播前沿响应于图像梯度而变形。 CFM提供了亚像素精度,只需要一个参数设置,并且不需要事先了解分割对象的解剖结构。使用CT和MR图像将CFM的特征与现有的可变形模型进行比较。结果表明,CFM是一种有前途的方法,可用于跨各种模式的多种医学图像中的解剖结构分割。

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