一种新策略的肺结节检测算法

doi:10.3969/j.issn.0372-2112.2016.06.023

电子学报 ›› 2016, Vol. 44 ›› Issue (6): 1413-1419.DOI: 10.3969/j.issn.0372-2112.2016.06.023

一种新策略的肺结节检测算法

邱实^1,2, 汶德胜¹, 冯筠³, 崔莹⁴

1. 中国科学院西安光学精密机械研究所, 陕西西安 710119;
2. 中国科学院大学, 北京 100049;
3. 西北大学信息科学与技术学院, 陕西西安 710127;
4. 武警工程大学装备工程学院, 陕西西安 710086

收稿日期:2014-12-19 修回日期:2015-07-27 出版日期:2016-06-25
- 作者简介:
- 邱实男,1986年生,助理研究员,博士研究生,研究方向:图像处理、模式识别.E-mail:qiushi215@163.com;汶德胜 男,1965年生,研究员,博士生导师.主要研究方向为光电成像技术,电子技术,图像处理等.E-mail:ven@opt.ac.cn;冯筠女,1972年生,教授,博士生导师.研究方向:智能信息处理,机器学习,医学影像分析.E-mail:fengjun@nwu.edu.cn;崔莹女,1981年生,讲师,博士研究生.研究方向:光学系统设计,图像处理.E-mail:cuiying@opt.cn
- 基金资助:
- 国家自然科学基金 (No.61372046); 陕西省自然科学基金 (No.2014JM8338)

A New Strategy Lung Nodules Detection Algorithm

QIU Shi^1,2, WEN De-sheng¹, FENG Jun³, CUI Ying⁴

1. Xi'an Institute of Optics and Precision Mechanics of CAS, Xi'an, Shaanxi 710119, China;
2. University of Chinese Academy of Sciences;Beijing 100049, China;
3. School of Information Science and Technology Engineering, Northwestern University;Xi'an, Shaanxi 710127, China;
4. College of Equipment Engineering, Engineering University of Chinese Armed Police Force, Xi'an, Shaanxi 710086, China

Received:2014-12-19 Revised:2015-07-27 Online:2016-06-25 Published:2016-06-25
- Supported by:
- National Natural Science Foundation of China (No.61372046); Natural Science Foundation of Shaanxi Province, China (No.2014JM8338)

摘要/Abstract

摘要：

针对计算机在肺部CT肺结节辅助检测过程中,二维CT图像序列血管横截面与肺结节成像特征类似,导致无法有效检测的问题,提出新策略的肺结节检测算法.以格式塔心理学为基础,以去除血管的新策略间接的对肺结节进行检测.实验结果表明,本算法可有效降低血管对肺结节检测的影响,从而提高肺结节的检测精度.

关键词: 格式塔原理, 血管, 肺结节

Abstract:

When lung nodules are detected in lung CT by computers, the vessel cross section and lung nodule have similar imaging characteristics in the two-dimensional CT image sequence, resulting in unable to detect problems precisely.We employed a new strategy for the lung nodules detection algorithm, which is based on the Gestalt psychology.This method can detect lung nodules indirectly by removing blood vessels.The experimental results show that, this algorithm can effectively reduce the influence of blood vessels on lung nodule detection, so as to improve the accuracy of detection of lung nodules.

Key words: Gestalt principles, blood, lung nodules

中图分类号:

TP391.41

邱实, 汶德胜, 冯筠, 等. 一种新策略的肺结节检测算法[J]. 电子学报, 2016, 44(6): 1413-1419.

QIU Shi, WEN De-sheng, FENG Jun, et al. A New Strategy Lung Nodules Detection Algorithm[J]. Acta Electronica Sinica, 2016, 44(6): 1413-1419.

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一种新策略的肺结节检测算法

A New Strategy Lung Nodules Detection Algorithm

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