激光多普勒组织微血管图像定位诊断技术
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摘要
激光多普勒组织微血管图像定位诊断技术对医学领域的发展具有重要意义。传统方法忽略了计算血管图像的能量函数,导致其图像定位精度偏低。提出了一种基于几何形变法的激光多普勒组织微血管图像定位诊断技术。利用图像的映射点与血管图像的平面中心点,分析血管平面图像各点之间的距离和映射点到图像平面的垂直距离,通过平移和旋转血管图像获得到图像的新坐标,建立图像坐标的计算模型。在此基础上,利用血管图像的灰度值、均值和方差对图像进行归一化处理,获得血管图像的直方图,并计算血管图像像素在直方图中出现的概率、类均值和类方差,利用血管图像的几何约束系数计算血管图像的能量函数,定位到图像的目标边缘,并对血管图像中血管的弯曲度进行计算,最终实现微血管图像定位诊断技术。实验结果表明,本文方法可以清晰、准确和快速的对血管图像进行定位,并根据定位结果有效的完成对血管的诊断。
Tissue micro-vascular image localization diagnosis technology is of great significance to the development of the medical field. The traditional method mainly denoises blood vessel images,ignoring the speed and accuracy of micro-vascular image localization. A laser Doppler tissue micro-vascular image localization diagnosis technique based on geometric deformation method is proposed. Using the mapping point of the image and the plane center point of the blood vessel image,the distance between each point of the blood vessel plane image and the vertical distance of the mapping point to the image plane are analyzed,and the new coordinates of the image are obtained by translating and rotating the blood vessel image,and the image coordinate calculation model is established. On this basis,the image is normalized by using the gray value,mean value and variance of the blood vessel image to obtain a histogram of the blood vessel image,and the probability,class mean and class variance of the blood vessel image pixel appearing in the histogram are calculated. The energy function of the blood vessel image is calculated by using the geometric constraint coefficient of the blood vessel image,the target edge of the image is located,and the curvature of the blood vessel in the blood vessel image is calculated,and finally the micro-vascular image localization diagnosis technology is realized.The experimental results show that the proposed method can locate the blood vessel image clearly,accurately and quickly,and effectively diagnose the blood vessel according to the positioning result.
Tissue micro-vascular image localization diagnosis technology is of great significance to the development of the medical field. The traditional method mainly denoises blood vessel images,ignoring the speed and accuracy of micro-vascular image localization. A laser Doppler tissue micro-vascular image localization diagnosis technique based on geometric deformation method is proposed. Using the mapping point of the image and the plane center point of the blood vessel image,the distance between each point of the blood vessel plane image and the vertical distance of the mapping point to the image plane are analyzed,and the new coordinates of the image are obtained by translating and rotating the blood vessel image,and the image coordinate calculation model is established. On this basis,the image is normalized by using the gray value,mean value and variance of the blood vessel image to obtain a histogram of the blood vessel image,and the probability,class mean and class variance of the blood vessel image pixel appearing in the histogram are calculated. The energy function of the blood vessel image is calculated by using the geometric constraint coefficient of the blood vessel image,the target edge of the image is located,and the curvature of the blood vessel in the blood vessel image is calculated,and finally the micro-vascular image localization diagnosis technology is realized.The experimental results show that the proposed method can locate the blood vessel image clearly,accurately and quickly,and effectively diagnose the blood vessel according to the positioning result.
引文
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[18]徐苗,孙柯,王卓,等.激光散射图像检测桃果实货架期的食用价值[J].食品科学,2016,37(18):244-249.
[2]黄莺,邱林,梅爱莲,等.激光多普勒成像对烧伤深度诊断价值的荟萃分析[J].中华烧伤杂志,2017,33(5):301-308.
[3]马宁虎,肖刚,张媛媛,等.激光多普勒血流仪检测年轻上颌切牙牙髓血流的探索[J].华西口腔医学杂志,2017,35(5):494-497.
[4]高杰,张雅,夏联恒,等.激光多普勒血流仪评估电针夹脊穴对糖尿病足病微循环的影响[J].中国老年学,2016,36(9):2097-2099.
[5]高飞,令狐乾锦,葛一粟,等.基于位置判别的激光QR二维码定位方法[J].计算机辅助设计与图形学学报,2017,29(6):1060-1067.
[6]钱锋,杨名宇,张晓沛.基于序列图像提高光斑质心定位精度[J].光学精密工程,2016,24(11):2880-2888.
[7]张睛,吴友宇.基于FPGA的光纤光斑中心定位算法研究[J].激光技术,2017,41(5):769-774.
[8]王杰,赵非,张颖,等.成人正常鼓膜振动激光多普勒测振仪检测研究[J].中华耳科学杂志,2016,14(3):330-333.
[9]唐庆菊,刘俊岩,王扬,等.基于模糊C均值聚类和Canny算子的红外图像边缘识别与缺陷定量检测[J].红外与激光工程,2016,001(9):274-278.
[10]崔崎,王鹏,郭晓鹏,等.输尿管镜钬激光碎石术治疗老年输尿管结石术后残留结石的影响因素[J].中国老年学杂志,2016,36(2):422-423.
[11]李英明,莫喜平,潘耀宗,等.激光多普勒准静态法测量磁致伸缩系数[J].工程科学学报,2016,38(11):1584-1589.
[12]胡姝玲,李军,黄鑫,等.基于激光多普勒测速雷达自相关检测算法研究[J].半导体光电,2017,38(2):278-282.
[13]王宇.激光制导武器目标光斑检测系统设计与实现[J].电子器件,2017,40(4):978-982.
[14]杜岩,谢谟文,蒋宇静,等.应用激光多普勒测振仪的岩块体累计损伤评价试验研究[J].北京科技大学学报,2017,39(1):141-146.
[15]刘子君,崔骊水,谢代梁.激光多普勒流速仪的干涉条纹理论分析及测量[J].中国激光,2017,44(8):169-176.
[16]谈凯德,杨晶东,薛皓天.一种有效的激光光斑中心检测算法研究[J].控制工程,2016,23(11):1813-1819.
[17]赵宇枫,徐科.基于约束流体化的激光图像特征三维重建算法[J].机床与液压,2017,45(18):34-40.
[18]徐苗,孙柯,王卓,等.激光散射图像检测桃果实货架期的食用价值[J].食品科学,2016,37(18):244-249.