Extraction of tenuous vasculature in medical images

Computer Engineering and Applications ›› 2007, Vol. 43 ›› Issue (33): 221-223.

• 工程与应用 • Previous Articles Next Articles

Extraction of tenuous vasculature in medical images

CHENG Ming,HUANG Xiao-yang,WANG Bo-liang

Department of Computer Science,Xiamen University,Xiamen,Fujian 361005,China

Received:1900-01-01 Revised:1900-01-01 Online:2007-11-21 Published:2007-11-21
Contact: CHENG Ming

医学图像中微细管道结构的提取

程明,黄晓阳,王博亮

厦门大学计算机科学系,福建厦门 361005

通讯作者: 程明

Abstract

Abstract: This paper proposes a method for the extraction of tenuous vasculature in medical images.The method includes the following steps：Maximum Intensity Projection（MIP）,two-dimensional vasculature extraction,three-dimensional seed point generation,and three-dimensional vasculature extraction.The routine region growing algorithm is revised and the extraction result is improved.Little artificial interference is needed during the processing,except that four parameters should be designated.

Key words: medical image processing, Maximum Intensity Projection（MIP）, region growing

摘要： 以肝动脉提取为例,提出一种医学图像中微细管道结构的提取算法。算法主要步骤包括：最大亮度投影、二维管道提取、三维种子点生成和三维管道提取。算法对常规的区域生长法进行改进,提取效果与常规的区域生长法相比有较大改善。算法需要的人工干预很少,只需要指定四个参数。

关键词: 医学图像处理, 最大亮度投影, 区域生长

CHENG Ming,HUANG Xiao-yang,WANG Bo-liang. Extraction of tenuous vasculature in medical images[J]. Computer Engineering and Applications, 2007, 43(33): 221-223.

程明,黄晓阳,王博亮. 医学图像中微细管道结构的提取[J]. 计算机工程与应用, 2007, 43(33): 221-223.

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Extraction of tenuous vasculature in medical images

医学图像中微细管道结构的提取

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