基于K均值聚类的组织损伤等级判定研究

发布时间：2018-01-19 00:07

本文关键词： 高强度聚焦超声灰度均值小波系数均值 K均值聚类组织损伤等级　出处：《电子测量与仪器学报》2017年03期 　论文类型：期刊论文

【摘要】：利用高强度聚焦超声(HIFU)对新鲜离体猪肉组织进行辐照,可对猪肉组织造成3个等级程度的损伤。从B超图像处理方向出发,提出一种基于K均值聚类并结合双参数的组织损伤等级判定方法。通过B超仪器实时获取HIFU辐照前后的134例猪肉组织图像,并做预处理获得焦斑区域的减影图像。再提取减影图像的灰度均值和小波系数均值,利用K均值聚类的方法对猪肉样本组织的损伤等级进行分类处理。实验结果表明,灰度均值参数能较好地区分第2、3等级程度的损伤,小波系数均值能较好地区分第1、2等级程度的损伤,而基于K均值聚类并结合双参数的分类方法结合了前两者的优点,在组织损伤等级的总辨识率上分别提高了5.23%和3.43%,更能准确地判定组织的损伤等级,便于临床医生客观地监控HIFU治疗过程,对提高HIFU疗效有实际意义。
[Abstract]:High intensity focused ultrasound (HIFU) irradiation on fresh isolated pork tissue can cause three grades of damage to pork tissue, starting from the direction of B-ultrasound image processing. A method of judging tissue damage grade based on K-means clustering and combining with two parameters was proposed. The images of 134 pork tissues before and after HIFU irradiation were obtained by B-ultrasound in real time. The subtraction image of focal spot region is obtained by preprocessing, and the gray mean and wavelet coefficient mean of subtraction image are extracted. K-means clustering method was used to classify the damage grade of pork samples. The experimental results showed that the grayscale mean parameters could distinguish the damage of the 2nd grade and 3rd grade well. The wavelet coefficient average can distinguish the damage of the first grade better, but the classification method based on K-means clustering and combining with two parameters combines the advantages of the former two. The total identification rate of tissue injury grade was increased by 5.23% and 3.43, respectively, which can determine the injury grade of tissue more accurately, and facilitate clinicians to objectively monitor the treatment process of HIFU. It is of practical significance to improve the curative effect of HIFU.
【作者单位】：湖南师范大学物理与信息科学学院;湖南师范大学图像识别与计算机视觉研究所;
【基金】：国家自然科学基金(11474090,11174077) 湖南师范大学博士基金(130645)资助项目
【分类号】：R454.3;TP391.41
【正文快照】： 1引言自被提出至今,高强度聚焦超声治疗(high intensityfocused ultrasound,HIFU)经历了一个快速而持续的技术发展和大量的临床研究,在临床应用上的安全性、有效性和可行性已被证实[1]。HIFU治疗肿瘤是其重要应用之一[2],其原理是利用超声波能量使焦域内的组织蛋白产生不可逆

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