摘要
明确了CT图像中肝脏分割方法概念,重点介绍了阈值法、区域生长法、遗传算法和主动轮廓模型,分析了它们的特点,指出了CT图像中肝脏分割方法的发展趋势与面临的挑战。
The liver segmentation from CT image is not only the most basic and important technology for the followingprocessing, but also a typically difficult problem. The accurate liver segmentation is the premise of quantitative analysis, computer aided diagnosis and treatment. A rather complete survey to liver CT image segmentation methods and characteristics 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 recently. The characteristic of these methods are analyzed. And the prospects and the challenge of liver segmentation technology form CT image are discussed. [Chinese Medical Equipment Journal, 2009,30 (3) :34-36]
出处
《医疗卫生装备》
CAS
2009年第3期34-36,共3页
Chinese Medical Equipment Journal
基金
<基于无线穿戴式检测技术的社区数字医疗健康服务系统>基金项目(2007B031302003)
关键词
肝脏CT图像
分割
阈值
主动轮廓模型
遗传算法
liver CT image
segmentation
threshold value
active contour model
genetic algorithms