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应用规则的肺结节识别系统

张婧 李彬 田联房 陈萍

计算机工程与应用2011,Vol.47Issue(17):200-202,3.
计算机工程与应用2011,Vol.47Issue(17):200-202,3.DOI:10.3778/j.issn.1002-8331.2011.17.055

应用规则的肺结节识别系统

Lung nodule recognition system using rules

张婧 1李彬 1田联房 1陈萍2

作者信息

  • 1. 华南理工大学自动化科学与工程学院,广州510640
  • 2. 广州医学院第一附属医院核医学科,广州510120
  • 折叠

摘要

Abstract

In order to detect lung nodules in chest CT images,an automatic recognition lung nodules system using rules is proposed. In the system,automatic threshold and contour tracking method are adopted to segment lung parenchyma at first;OTSU algorithm is used to extract Region Of Interested(ROI) subsequently,and then the features of ROI are extracted;at last some features are chosen which can distinguish between lung nodules and blood vessels.Rules are defineed to determine candidate nodules based on the chosen features. Experiment results show that this system has better recognition performance with the diameter above 1 cm.

关键词

医学图像/肺结节/基于规则/识别/OTSU算法

Key words

medical image/ lung nodule/based on rules/ recognition/ OTSU algorithm

分类

信息技术与安全科学

引用本文复制引用

张婧,李彬,田联房,陈萍..应用规则的肺结节识别系统[J].计算机工程与应用,2011,47(17):200-202,3.

基金项目

教育部博士点基金资助项目(No.200805610018) (No.200805610018)

广东省自然科学基金资助项目(No.8451064101000631) (No.8451064101000631)

广州市番禺区科技攻关项目(No.2009-Z-108-1). (No.2009-Z-108-1)

计算机工程与应用

OACSCDCSTPCD

1002-8331

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