[1]崔梦瑶,应潇挺,赵兴群,等.肾脏射频消融中超声图像特征参数与温度关系的研究[J].中国医学物理学杂志,2020,37(9):1164-1168.[doi:10.3969/j.issn.1005-202X.2020.09.016]
　CUI Mengyao,YING Xiaoting,ZHAO Xingqun,et al.Correlation between renal ultrasound image features and temperature during radiofrequencyablation[J].Chinese Journal of Medical Physics,2020,37(9):1164-1168.[doi:10.3969/j.issn.1005-202X.2020.09.016]
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肾脏射频消融中超声图像特征参数与温度关系的研究()
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《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
37
期数:
2020年第9期
页码:
1164-1168
栏目:
医学人工智能
出版日期:
2020-09-25

文章信息/Info

Title:
Correlation between renal ultrasound image features and temperature during radiofrequency ablation
文章编号:
1005-202X（2020）09-1164-05
作者:
崔梦瑶1; 应潇挺1; 赵兴群1; 姚林方2
1. 东南大学生物科学与医学工程学院，江苏南京210096；2. 南京大学医学院附属鼓楼医院泌尿外科，江苏南京210008
Author(s):
CUI Mengyao1;  YING Xiaoting1;  ZHAO Xingqun1;  YAO Linfang2
1. School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China 2. Department of Urology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
关键词:
射频消融; 超声图像; 无损测温
Keywords:
radiofrequency ablation ultrasound image noninvasive temperature measurement
分类号:
R318.6
DOI:
10.3969/j.issn.1005-202X.2020.09.016
文献标志码:
A
摘要:
为探索肾脏射频消融中超声图像特征参数与温度的相关性，设计并进行了新鲜离体猪肾脏射频消融实验。记录热 消融过程中的温度（侵入式热电偶测量）和B超影像数据，采用将温度探针视为圆形的方法和阈值分割法去除感兴趣区域 中的探针，提取灰度均值、灰度标准差和灰度梯度值等特征参数，使用MATLAB软件对得到的灰度均值、灰度标准差和温 度作回归分析，采用连续分段函数模型进行数据拟合。证明了阈值分割法可用于探针去除，肾脏射频消融中的超声图像 特征参数与温度具有相关性，得到拟合良好的灰度均值-温度、灰度标准差-温度模型。但所得模型中的参数会随图像增 益、消融组织差异变化，在后续研究中应排除此类干扰，得到更具有临床价值的温度测量模型。
Abstract:
To explore the correlation between ultrasonic image feature parameters and temperature during renal radiofrequency ablation, a radiofrequency ablation experiment of fresh pig kidney in vitro is designed and carried out. The temperature measured by invasive thermocouple and B-Mode images during ablation are collected. The feature parameters such as average gray-level (AVGL), grayscale standard deviation and grayscale gradient value are calculated after removing the probe in the region of interest by threshold segmentation method or taking the temperature prove as a circle. ThenMATLAB software is used to performregression analysis on the obtained AVGL, grayscale standard deviation and temperature, and continuous piecewise function model is used for data fitting. It is proved that threshold segmentation method can be used for probe removal, and the feature parameters of ultrasound image in renal radiofrequency ablation are found to be correlated with temperature, and a well-fittedAVGL-temperature model and a grayscale standard deviation-temperature model are obtained. However, the parameters in the obtained models will change with the difference of image gain and ablation tissue. Such interference should be excluded in the follow-up research to obtain a more clinically valuable temperature measurement model.

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备注/Memo

备注/Memo:
【收稿日期】2020-03-26 【作者简介】崔梦瑶，硕士研究生，E-mail: 220163880@seu.edu.cn 【通信作者】赵兴群，博士，教授，E-mail: ndt@seu.edu.cn；姚林方，博士， 副主任医师，E-mail: yaolinfang47@163.com
更新日期/Last Update: 2020-09-25