生物医学工程研究2012，Vol.31Issue(1)：5-10,6.
肌肉组织背景下的微血管分割方法研究
Microvascular Segmentation from Image Background of Muscular Tissue
盛有明 1张坚 1张正国 2修瑞娟1
作者信息
- 1. 中国医学科学院&北京协和医学院微循环研究所,北京100005
- 2. 中国医学科学院&北京协和医学院基础医学研究所,北京100005
- 折叠
摘要
Abstract
The segmentation of microvessel is one of critical image processing techniques to evaluate property and dysfunction of microvasculature. Up to the present, has no specific segmentation method been presented to deal with microvessels in muscular tissue images. Presented segmentation methods for vessels are not competent for this type of images. In this study, we proposed a combinatorial strategy ?"TOSC algorithm", first, segment the image preliminarily with single threshold was segmented; second, the connections between background and microvesselswas splited by morphological opening operation; third, secondary recognition and segmentation were executed by seed fill algorithm; then, the lacunas was filled by morphological closing operation. Vascular area was extracted and functional microvascular density was calculated. Testing proves that TOSC algorithm can segment and extract microvascular area accurately from cremaster muscle images.关键词
微血管/图像分割/数学形态学/种子填充/功能微血管面积密度Key words
Microvessel/ Image segmentation/ Mathematical morphology/ Seed fill algorithm/ Functional microvascular density (FMD)分类
医药卫生引用本文复制引用
盛有明,张坚,张正国,修瑞娟..肌肉组织背景下的微血管分割方法研究[J].生物医学工程研究,2012,31(1):5-10,6.
