红外与激光工程, 2019, 48 (4): 0426002, 网络出版: 2019-07-23  

人体甲状腺动态红外图像多重分形分析

Multi-fractal analysis of dynamic infrared image of human thyroids
作者单位
1 中国科学院长春光学精密机械与物理研究所, 吉林 长春130033
2 中国科学院大学, 北京 100049
摘要
开展了健康对象甲状腺动态红外图像的多重分形特征研究, 并对不同个体甲状腺多重分形特征参数进行了统计分析与差异性检验。首先, 在恒温恒湿实验环境下, 获取多帧人体甲状腺红外图像, 并对其进行网格划分, 形成温度时间序列。然后, 探讨了适合人体甲状腺多重分形分析的原始信号长度、小波变换尺度因子、统计矩阶数的取值。在确定好上述参数后, 对温度时间序列进行多尺度小波变换, 求解其小波变换模极大, 进而获取不同健康对象甲状腺左右叶多重分形特征参数的分布特性。研究结果表明: 健康对象甲状腺多重分形特征谱线分形维数取得极值处对应的奇异性指数c1的分布集中在1.1~1.3范围内, 间隙系数c2的分布则集中于0.002~0.005范围内, 二者分布特征不存在个体差异的检验水准α=0.01; 多重分形谱线半峰宽集中于0.164~0.166范围内且不存在个体差异的检验水准α=0.05。
Abstract
The multifractal characteristics of thyroid dynamic infrared images of healthy subjects were studied in this paper, and the statistical analysis and differential test of thyroid multifractal characteristics of different individuals were performed. Firstly, in the constant temperature and humidity experiment environment, multiple frames of human thyroid infrared images were acquired and meshed to form a temperature-time series. Then, the original signal length, wavelet transformed scale factor and statistical moment order of the multi-fractal analysis of human thyroid were discussed. After determining the above parameters, the multi-scale wavelet transform of the temperature-time series was performed to solve the Wavelet Transform Modulus Maximal, and then the distribution characteristics of multi-fractal characteristics of the left and right thyroid lobe of different healthy subjects were solved. The results show that the singularity index c1 of the thyroid multi-fractal characteristic line dimension of healthy subjects concentrates in the range of 1.1-1.3, and the gap coefficient c2 concentrates in the range of 0.002-0.005. The test level of individual differences is α=0.01; the half-width of the multi-fractal line concentrates in the range of 0.164-0.166 and the test level of no individual difference α is 0.05.

范雪霜, 孙强, 吕深圳, 杨建柏, 王健. 人体甲状腺动态红外图像多重分形分析[J]. 红外与激光工程, 2019, 48(4): 0426002. Fan Xueshuang, Sun Qiang, Lv Shenzhen, Yang Jianbai, Wang Jian. Multi-fractal analysis of dynamic infrared image of human thyroids[J]. Infrared and Laser Engineering, 2019, 48(4): 0426002.

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