人体肺癌组织电导率与CT图像灰度相关性

Correlation between conductivity of lung cancer tissue and grayscale of CT image

研究肺癌患者癌变组织的介电特性以及肺部CT图像的图像特征,建立癌变组织电导率与相应患者肺部CT图像灰度特征的对应关系,为肺癌的临床诊断和治疗提供辅助手段和理论依据。肺癌组织和CT图像取自天津医科大学总医院,取手术中切下的癌变组织为样本,控制测试箱温度和湿度模拟人体环境,采用美国Agilent公司的4294A阻抗分析仪,测量肺癌组织的复阻抗特性,计算肺癌组织电导率。采用区域生长法对CT图像进行图像分割,获取癌变组织区域图像的灰度特征,基于统计学方法研究肺癌组织电导率与CT图像灰度间的相关性并建立数学模型。人体肺癌组织电导率与CT图像的灰度值呈正相关,相关性显著,癌变组织在CT图像中的灰度随电导率的不同而变化,可以为人体肺部组织电特性的研究提供基础数据,为电阻抗成像技术提供先验信息。

To provide supplementary means and theoretical basis for the clinical diagnosis and treatment of lung cancer by researching on the properties of conductivity of lung cancer tissue and the lung CT images, and establishing a strong correlation between grayscale of CT images and conductivity of lung cancer tissue. The lung cancer tissue and CT images were from General Hospital of Tianjin Medical University. The removed cancer tissue was taken as the sample. The temperature and humidity of test box were controlled to simulate the human environment, and the 4294A impedance analyzer of Agilent was used to measure the complex impedance property of lung cancer tissue and calculate the conductivity of lung cancer tissue. The region growing method was used to segment CT images and extract the grayscale characters of cancer tissue images. The correlation between grayscale of CT images and conductivity of lung cancer tissues was analyzed by statistical method, and a mathematic model was established to represent the correlation. The result showed the conductivity of lung cancer tissue had an obvious positive correlation with the grayscale of CT images, providing basic data for the research on human lung tissue＇s conductivity properties and prior information for electrical impedance tomography.