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作 者:李曦 黄荣慧[2] 刘备 黄峥 邹孝 钱盛友 LI Xi;HUANG Rong-hui;LIU Bei;HUANG Zheng;ZOU Xiao;QIAN Sheng-you(College of Physics and Electronic Science, Hunan Normal University, Changsha 410081, China;Department of Medical Imaging, the Fourth Hospital of Changsha 410006, China)
机构地区:[1]湖南师范大学物理与电子科学学院,湖南长沙410081 [2]长沙市第四医院医学影像科,湖南长沙410006
出 处:《湖南师范大学自然科学学报》2020年第3期82-87,共6页Journal of Natural Science of Hunan Normal University
基 金:国家自然科学基金资助项目(11774088,11474090,61502164)。
摘 要:在高强度聚焦超声(HIFU)治疗肿瘤过程中,生物组织损伤是疗效的重要表现,基于B超监控方式研究组织损伤辨识对疗效评价有重要意义。首先提取HIFU辐照新鲜离体猪肉组织前后B超图像的灰度直方图统计特征,通过类间距离评价所提取的不同特征识别生物组织损伤的能力;以类间距离最大的特征作为最佳统计特征,最后采用最大类间方差聚类法(Otsu)自动确定辨识组织损伤的阈值。结果表明:偏斜度特征的类间距离最大,与其它统计特征相比较,偏斜度有较好的区分能力;HIFU区域该特征值在0.575附近时,生物组织出现损伤。利用此阈值对实验获得的样本数据进行测定,可以有效地区分出变性组织与未变性组织。In the process of High Intensity Focused Ultrasound(HIFU)treatment of tumors,the damage of biological tissue is an important manifestation of therapeutic effect.Therefore,it is important for reseaching on the damage threshold of tissues based on the method of b-ultrasound monitoring in efficacy evaluation.Firstly,statistical features were extracted from ultrasonic images before and after HIFU irradiation of the fresh pork tissue in vitro.The inter-distance was employed to evaluate the ability of several statistical features to recognize whether biological tissues had been denatured.Then,the feature with the biggiest inter-distance was considered as the best statistical feature.Finally,the method of maximal inter-cluster variance was used to automatically determine the damage threshold of tissues.The results show that the inter-distance of skewness was the biggiest feature.Comparing with the other features,the skewness had better ability to distinguish the damage tissues.And biological tissues had been denatured when the skewness value of HIFU treatment region was around 0.575.It indicated that the method can identify effectively HIFU treatment region,when the classified threshold was applied to the sample datas.
关 键 词:高强度聚焦超声 灰度直方图统计特征 最大类间方差法聚类 组织损伤 阈值
分 类 号:R445.1[医药卫生—影像医学与核医学] O426.9[医药卫生—诊断学]
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