中国组织工程研究

中国组织工程研究 ›› 2011, Vol. 15 ›› Issue (2): 325-328.doi: 10.3969/j.issn.1673-8225.2011.02.033

• 组织构建基础实验 basic experiments in tissue construction • 上一篇    下一篇

基于主成分分析建立的肺胸部生理健康检查模型

李明翼，侯园园，周  萍   

  1. 首都医科大学生物医学工程学院，北京市  100070
  • 收稿日期:2010-07-09 修回日期:2010-10-15 出版日期:2011-01-08 发布日期:2011-01-08
  • 通讯作者: 周萍，硕士，副教授，首都医科大学生物医学工程学院，北京市 100070 eduhelp@163.com
  • 作者简介:李明翼，女，1989年生，吉林省双辽县人，汉族，首都医科大学生物医学工程专业07级本科生，主要从事生物医学信号、图像处理方面的研究。 whan.com.cn@163.com
  • 基金资助:

    首都医科大学2010年度第二课堂教学项目：定量生理学与建模在医学中的应用。首都医科大学基础临床合作基金“颈动脉血流动力学模型建立及临床应用”，项目编号：10JL51。

Establishment of physical health models of the lung and chest based on principal component analysis 

Li Ming-yi, Hou Yuan-yuan, Zhou Ping   

  1. School of Biomedical Engineering, Capital Medical University, Beijing  100070, China
  • Received:2010-07-09 Revised:2010-10-15 Online:2011-01-08 Published:2011-01-08
  • Contact: Zhou Ping, Master, Associate professor, School of Biomedical Engineering, Capital Medical University, Beijing 100070, China eduhelp@163.com
  • About author:Li Ming-yi, School of Biomedical Engineering, Capital Medical University, Beijing 100070, China Whan.com.cn@163.com
  • Supported by:

    the Supplementary Class-based Program of Capital Medical University in 2010; Basic and Clinical Cooperation Fund of Capital Medical University, No. 10JL51

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摘要：

背景：X射线胸片是临床肺胸部疾病鉴别诊断的重要手段之一，但大量数据的处理也为诊断工作带来巨大的压力。
目的：验证利用主成分分析来评价肺胸部生理状况的理论的可行性，提出于临床中建立肺胸部生理健康检查模型的观念。
方法：采集202名健康成年人的胸片，用MxLiteView软件手动测量每幅胸片的能代表肺胸部生理健康的9个测量项目。基于MATLAB软件自行编程实现主成分分析算法，对采集的实验数据进行处理。
结果与结论：数据处理得到主成分变量，经分析与评定，可以分别表示特定区域的肺胸部生理健康状况。说明利用主成分分析法可快速而有效的对大量X射线胸片生理数据进行预处理和分析，实现直接由数据反映人的肺胸部生理健康状况。进一步证实建立肺胸部生理健康检查模型思想的可行性，有利于缓解目前临床方面人力资源浪费的现状。

关键词: 主成分分析, 胸片, 肺胸部生理健康, MATLAB

Abstract:

BACKGROUND: Chest X-ray film is one of important means for diagnosing lung and chest diseases in a clinic, however, large amounts of data processing work bring tremendous pressure.
OBJECTIVE: To verify the feasibility of evaluating lung and chest physiological condition with principal component analysis (PCA), proposing the concept of establishing physical health chest lung model during clinical practice.
METHODS: Chest X-ray films were collected from 202 healthy adults. Nine experimental projects of each chest were measured with the help of the software MxLiteView. We realized the PCA algorithm and processed the experimental data based on MATLAB.
RESULTS AND CONCLUSION: Principal component variables were obtained by data processing, which can represent physical health of a specific lung and chest region by analysis and evaluation. It is demonstrated that the PCA can be fast and effective in pre-processing and analyzing a large number of X-ray chest physiological data, directly reflect the physical health condition of human lung and chest. The results further confirm the feasibility of establishing lung health screening model. In clinical practice, it will help alleviate the waste of human resources.

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