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热疗中 B 模式超声图像纹理特征与组织温度之间的相关性。

Correlations between B-mode ultrasound image texture features and tissue temperatures in hyperthermia.

机构信息

School of Engineering Medicine, Beihang University, Beijing, China.

Key Laboratory of Cryogenics, Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Beijing, China.

出版信息

PLoS One. 2022 Oct 6;17(10):e0266446. doi: 10.1371/journal.pone.0266446. eCollection 2022.

Abstract

PURPOSE

The noninvasive monitoring of mild hyperthermia or thermal ablation is important to guarantee therapeutic safety and efficacy. The potential of ultrasound B-mode image texture features in monitoring temperature or coagulation zones studied in this article.

MATERIALS AND METHODS

The experiments carried out on eighteen in vitro porcine liver samples heated from 20°C to 60°C in the water bath. The ultrasound radiofrequency signal at different temperature collected to reconstruct B-mode ultrasound images. The texture features based on gray level histogram (GLH), gray level co-occurrence matrix (GLCM), and gray level-gradient co-occurrence matrix (GGCM) extracted, respectively. Accordingly, we analyze the correlations between these texture features and temperature based on the experiment results.

RESULTS

The results showed that five texture feature parameters closely related to temperature, including mean gray scale of GLH, homogeneity of GLCM, hybrid entropy, inverse difference moment, and correlation of GGCM. Some of these feature parameters have correlation coefficients larger than 0.9 within the temperature range of 20°C to 60°C.

CONCLUSIONS

The above-mentioned five feature parameters expected to apply for noninvasive monitoring of MH or TA.

摘要

目的

轻度热疗或热消融的非侵入性监测对于保证治疗的安全性和疗效非常重要。本文研究了超声 B 模式图像纹理特征在监测温度或凝固区域方面的潜力。

材料和方法

将十八个在体外猪肝脏样本在水浴中从 20°C 加热到 60°C。在不同温度下采集超声射频信号以重建 B 模式超声图像。分别提取基于灰度直方图(GLH)、灰度共生矩阵(GLCM)和灰度梯度共生矩阵(GGCM)的纹理特征。根据实验结果,分析了这些纹理特征与温度之间的相关性。

结果

结果表明,有五个与温度密切相关的纹理特征参数,包括 GLH 的平均灰度、GLCM 的同质性、混合熵、逆差矩和 GGCM 的相关性。在 20°C 至 60°C 的温度范围内,其中一些特征参数的相关系数大于 0.9。

结论

上述五个特征参数有望用于 MH 或 TA 的非侵入性监测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/29cf/9536603/0cc3f074a06f/pone.0266446.g001.jpg

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