Wang G, Liu J, Luo J, Sheng L
Industrial Design Engineering, Delft University of Technology, Delft, Netherlands.
Department of Biomedical Engineering, Tsinghua University, Beijing, China.
Cryo Letters. 2019 Jan/Feb;40(1):58-63.
Ultrasound guidance of cryotherapy could be improved if changes of tissue characterization parameters during freezing could be used to monitor freezing profiles and estimate frostbite distributions.
To investigate if B-mode ultrasonic imaging can provide sufficient information to define the damaged zone during cryotherapy by quantifying the differences of texture features between fresh and frozen-thawed porcine liver tissue.
The B-mode ultrasonic images were obtained from ten porcine liver tissue samples before and after frozen-thawing treatment, then 20 texture parameters of the grey level histogram (GLH) and the grey level co-occurrence matrix (GLCM) from each image were extracted and analyzed statistically.
It was found that the differences in two texture parameters between the fresh and frozen-thawed tissue are significant enough for diagnostic purpose (variance: 317.0%, contrast: 144.4%).
Texture feature analysis of B-mode ultrasonic images can effectively differentiate the fresh and frozen-thawed porcine liver tissues, which offers a prospect for the future practice of evaluating the effectiveness of cryotherapy using Ultrasound.
如果在冷冻过程中组织特征参数的变化能够用于监测冷冻曲线并估计冻伤分布，那么冷冻疗法的超声引导就能得到改善。
通过量化新鲜和冻融猪肝脏组织之间纹理特征的差异，研究B型超声成像是否能够提供足够的信息来界定冷冻疗法期间的损伤区域。
从十个猪肝脏组织样本获取冷冻-解冻处理前后的B型超声图像，然后从每个图像中提取20个灰度直方图（GLH）和灰度共生矩阵（GLCM）的纹理参数并进行统计分析。
发现新鲜组织和冻融组织之间两个纹理参数的差异足以用于诊断目的（方差：317.0%，对比度：144.4%）。
B型超声图像的纹理特征分析能够有效区分新鲜和冻融的猪肝脏组织，这为未来使用超声评估冷冻疗法效果的实践提供了前景。
