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Three-dimensional non-rigid registration of thoracic CT image based on finite element method

机译:基于有限元法的胸CT图像三维非刚性登记

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Developing of computer aided diagnosis (CAD) system which analyzes the medical image by a computer and provides the doctor as a "second opinion" the result is becoming increasingly popular. Temporal subtraction technique which is one of the CAD systems supports the observation by performing the differential operation of the current image and the previous one of the same patient and emphasizing temporal changes. Process of registration between images exist in this technique, this accuracy is greatly affects to the temporal difference image. However, registration method adaptable to a variety of images with high accuracy has not been established yet. So in this paper, we propose a three-dimensional non-rigid image registration method generic and high precision based on finite element method (FEM). In the proposed method, in order to improve the high cost is the biggest problem of the FEM, introducing the feature point detection in generating a tetrahedral mesh model. Furthermore, we introduce global matching to achieve an improvement of the execution efficiency. In this paper, we verify the effectiveness by the result applying the model data and 3D thoracic CT Images the proposed method.
机译:计算机辅助诊断(CAD)系统的开发,通过计算机分析了医学形象,并将医生作为“第二意见”,结果变得越来越受欢迎。作为CAD系统之一的时间减法技术通过执行当前图像的差分操作和同一患者中的前一个并强调时间改变来支持观察。在这种技术中存在图像之间的登记过程,这种准确性会极大地影响时间差异图像。然而,尚未建立适用于具有高精度的各种图像的注册方法。因此,本文提出了一种基于有限元方法(FEM)的三维非刚性图像配准法通用和高精度。在所提出的方法中,为了提高高成本是有限元的最大问题,引入了产生四面体网模型的特征点检测。此外,我们介绍了全球匹配,以实现执行效率的提高。在本文中,我们通过应用模型数据和3D胸CT图像来验证所提出的方法的有效性。

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