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机构地区:[1]北京工商大学材料与机械工程学院,北京100048 [2]军事医学科学院附属医院淋巴瘤科,北京100071
出 处:《军事医学》2017年第6期516-519,共4页Military Medical Sciences
基 金:军事医学科学院附属医院创新基金资助项目(ZH-2014-07)
摘 要:目的计算和测量上肢静脉超声图像中穿刺靶血管的深度和管径信息,为实现自动穿刺奠定基础。方法采用两种静脉横截面超声图像中管径的测量方法,一是基于评估后自适应选取的阈值分割血管,然后上下分别扫描静脉血管上下边缘,得到管径信息。二是基于大津(Otsu)法分割血管,运用形态学运算对二值图像进行预处理,然后用与方法一类似的方式计算管径信息,结合管径信息再对静脉的深度信息进行矫正。结果在500张上肢静脉超声图像上测试上述两种方法,方法一、二的准确率分别为93.0%和99.4%。结论基于大津和形态学处理的方法对上肢静脉超声图像管径测量效果更佳。Objective To calculate and measure the depth and radius of the target vessel in the upper limb venous ultrasound image in order to contribute to automatic venipuncture. Methods Two methods of measuring the radius of veins in an ultrasonic vein cross section image were adopted. One method was to segment the vein based on the threshold selected after evaluation,and then scan the upper and lower edges of the vein to obtain the radius. The other method was based on Otsu method,which was to divide the vein and then morphologically process the binary image. The radius was calculated in a manner similar to the first method. After the radius was obtained,the depth of the vein was corrected in conjunction with the radius. Results The above two methods were tested on 500 upper limb venous ultrasound images. The accuracy rate of the first method was 93. 0%,and that of the second method was 99. 4%. Conclusion The method based on Otsu and morphological processing is more effective for radius measurement of veins in upper limb venous ultrasound image.
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