医学肾脏CT图像三维重建的方法和算法研究
毕业设计说明书（论文）外文摘要
Title On Models and Algorithms of Three-dimensional
Reconstruction of Medical Renal Images
Abstract
The techniques of three-dimensional reconstruction of CT images consist of three basic steps, i.e. image pre-processing, image segmentation and extraction as well as three-dimensional image reconstruction. In this paper, the two parts image pre-processing and image segmentation and extraction of renal CT images are focused on and discussed.Image pre-processing consists of image denoising, image registration and image fusion. After summing up and contrasting a variety of existing algorithms, algorithms which are more suitable for denoising, registration and fusion of renal CT images are selected. As for image segmentation and extraction, in contrast to many existing segmentation algorithm an improved geometric contours activity model is built and the results of its numerical experiment show that the algorithm on the segmentation of the renal CT images is effective and can meet the needs of the three-dimensional reconstruction.
Keywords Renal CT images Image denoising Image registration Image fusion Image segmentation 3-d reconstruction
目 次
1 绪论 1
1.1 CT原理简介 1
1.2 肾脏CT图像的特点 1
1.2.1 肾脏结构的特点 1
1.2.2 肾脏CT图像的特点 2
1.3 医学图像三文重建的方法概述 2
1.3.1 图像预处理 3
1.3.2 图像分割与提取 3
1.3.3 医学图像的三文重建 4
1.4 医学肾脏图像三文重建的研究现状及本文工作安排 4
2 肾脏CT图像的预处理 5
2.1 肾脏CT图像的去噪 5
2.1.1 几种CT图像的去噪方法简介 5
2.1.2 几种CT图像的去噪方法的比较 5
2.2 肾脏CT图像的配准 13
2.2.1 基于互信息的配准方法 13
2.2.2 基于特征的图像配准方法 16
2.3 肾脏CT图像的融合 20
2.4 本章小结 22
3 肾脏CT图像的分割与提取 22
3.1 多种分割算法简介及其对比 23
3.2 本文采用的分割算法及其数值实验 31
3.2.1 改进的几何活动轮廓模型 31
3.2.2 改进的几何活动轮廓模型的数值实现 33
3.2.3 数值实验及其结果分析 34
3.3 本章小结 36
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