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基于C-V分割算法的衰老与心胸比关系的数据分析

[Data analysis for relationship between aging and cardiothoracic ratio based on C-V segmentation algorithm].

作者信息

Hou Yuanyuan, Liu Yi, Zhou Ping

出版信息

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2014 Jun;31(3):547-51.

Abstract

Cardiac enlargement is an important symptom of vascular and heart disease. The cardiothoracic ratio (CTR) is an important index used to measure the size of heart. The aim of this study was to assess the relationship between aging and cardiothoracic ratio. This paper also presents an improved C-V level set method to segment lung tissue based on X-ray image, which used to automatically compute CTR. In the investigation carried out in our school, we got more than 3 120 chest radiographs from medical examination of the working population in Beijing, and we systematically studied the effects of age and gender on the CTR to obtain reference values for each group. The reference values established in this study can be useful for recording and quantifying the cardiac enlargement, so that it may be useful for calling attention to the cardiovascular diseases and the heart diseases.

摘要

心脏增大是血管和心脏疾病的重要症状。心胸比率(CTR)是用于测量心脏大小的重要指标。本研究的目的是评估衰老与心胸比率之间的关系。本文还提出了一种基于X射线图像分割肺组织的改进的C-V水平集方法,该方法用于自动计算CTR。在我校开展的调查中,我们从北京市在职人群的体检中获得了3120多张胸部X光片,并系统地研究了年龄和性别对CTR的影响,以获得每组的参考值。本研究建立的参考值可用于记录和量化心脏增大,从而可能有助于引起对心血管疾病和心脏病的关注。

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