ct血管造影骨骼去除算法分析word格式论文.docxVIP

摘要随着医学图像处理技术的快速发展，为医学诊断性能的提高提供了坚实的技 术支撑，并有效促进其推广应用。医学图像处理是计算机辅助医疗中重要的一个 环节，而医学图像分割作为医学图像处理非常重要的一部分，在临床医学中发挥 着越来越重要的作用。在 CT 血管造影图像的分析中，使用了医学图像分割技术的 骨骼去除在血管观察和三维重建中都有着重要的应用。准确的分割结果可以为医 学研究和临床诊断提供可靠的信息，有效提高医生的诊断准确性和工作效率。本文首先概述了 CT 成像技术及其发展趋势，在此基础上介绍了 CT 血管造影， 重点分析了 CT 血管造影图像的特点，对其特点进行总结。之后重点讨论了三类医 学图像分割算法，包括：基于区域的分割方法、基于边界的分割方法和基于特定 理论的分割方法。结合具体应用需求对这些算法进行仿真处理，对仿真结果进行 分析并总结算法的优缺点。通过算法比较，本文提出一种改进的分水岭图像分割方法，主要针对过分割 现象增加了使用 K-均值聚类算法的预处理，在集水盆合并方面使用新的合并条件， 合并过分割区域，有效克服过分割现象。针对临床应用中对于算法实时性提出的 高要求，本文提出一种基于形态学特征的三维快速骨骼去除算法，利用该算法对 实测的序列 CT 血管造影图像进行测试发现算法拥有较好的计算效果，同时有效提 高了计算效率。关键词：医学图像分割分水岭算法CTA 图像骨骼去除AbstractAs the rapid development of medical image processing technology, it provides solid technical support to improve medical diagnosis performance, and effectively promote its popularization and application. Medical image processing is an important part of computer-aided medical, while Medical image segmentation is a very important part of Medical image processing, and it plays an increasingly important role in clinical medicine. Bone removal using medical image segmentation techniques in the analysis of CT angiography images has important application in vascular observation and 3D reconstruction. Accurate segmentation results can provide reliable information for medical research and clinical diagnostic, and can also effectively improve the accuracy and efficiency of the doctors diagnosis.This paper outlines the CT imaging technology, its development trends, and CT angiography. Than we focus on the analyzing of the characteristics of the image of CT angiography, and propose a summary of its features. Three types of medical image segmentation algorithms are mainly discuss here, including: region-based segmentation methods, boundary-based segmentation methods and segmentation methods based on a particular theory. Combined with the specific application requirements, we simulate some of these algorithms, analysis the results, and summarizes the advantages and disadvantages of the al