引用本文:李锡林,徐公文,范植华.全自动、多管径生物网状血管分割方法研究*.软件学报,1996,7(zk):415-420
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全自动、多管径生物网状血管分割方法研究*
李锡林1, 徐公文1, 范植华1
中国科学院软件研究所 北京 100080
摘要:
生物血管图象分析,早已被医学界广泛用作辅助诊断手段.借助于计算机来处理血管图象,提取诸如血管管径、血管分支数等特征参数的研究业已推广开来.本文针对含有不同管径的网状血管(生物血管图象分析中最复杂的情形),设计并实现了一种全自动、高效率的提取和定量分析算法.它能根据血管的直径对血管图象自动分层,每一层仅含管径限制于某一范围内的血管.检测不同层中血管的支数或面积,即达到分析血管图象的目的,并运用于医学早期诊断中,分析烧伤患者烧伤创面中血管的管径所占的比例,能够辅助确定医疗方案.在本领域之外,这种方法也可以辐射于诸如卫星遥感图象的道路识别等应用中.
关键词:  网状血管图象,二值化,一维图象扫描,血管横截面分析,分层处理.
DOI:
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基金项目:
THE SEGMENTATION OF BIOTICAL BLOOD VESSEL NETWORK BY AN AUTOMATED ALGORITHM
Li Xilin,xu Gongwen,Fan Zhihua
Abstract:
In this paper,the authors address the problem of biotical vessel segment in the vessel images taken from human body'S burned skin.These blood vessels have poor lo-cat contrast with multi—diameter,and take on network distribution.The authors intro-duee an algorithm based on the optical and Spatial properties of objects to he recognized.Through sefinning the vessel image in various angles.anaiysing the glay—level profile of the cross section of blood vessels and detaching vessel image according.to vessel diameter,they could obtain the fixed quantity distribution of biotical blood vessels.This segmenta-tion algorithm is efficient and automatic,it can help physicians in diagnosing diseases and show promise in many relative fields.
Key words:  Biotical blood vessel network,two—value vessel image,one—dimensional image scanning,analysis of gray level profile of the cross section blood ves-sel,detaching vessel image according to vessel diameter.