基于CT图像的肺实质分割技术研究

基于CT图像的肺实质分割不仅仅是后续图像处理最基础和最重要的技术，而且是一个典型的亟待解决的问题。基于CT图像的精确的肺实质分割是数学分析、计算机辅助分析和治疗的前提。本文明确了肺实质分割的概念及本质，以及肺实质分割在临床治疗中的重大意义。重点介绍了阈值法、区域生长法、主动轮廓模型和遗传算法，分析了它们的本质以及优缺点，并且列举大量实例说明。最后指出了基于CT图像的肺实质分割方法的发展趋势与面临的挑战。

Research progress of lung parenchyma segmentation techniques based on CT images

The lung parenchyma segmentation based on CT images is not only the most basic and important technology for the following processing,but also a typically difficult problem.The accurate lung sementation is the premise of quantitative analysis,computer aided diagnosis and treatment.This paper introduced the concept and nature of lung parenchyma segmentation,and its important significance in clinical treatment.A rather complete survey to lung parenchyma segmentation methods and characteristecs are given,such as threshold value,active contour model,evolutionary algorithms,especially to the new methods or improvement of the classical methods which is put forward recentlly.And the prospects and the challenge of lung parenchyma segmentation technology based on CT images are discussed.