超声图像中胎儿头围的自动测量  

The automatic ultrasound measurement of fetal head circumference

作　　者：李璟[1] 倪东[1] 李胜利[2] 韩笑[1] 尹晓浪 汪天富[1] 陈思平[1] 

机构地区：[1]医学超声关键技术国家地方联合工程实验室,广东省生物医学信息检测与超声成像重点实验室,深圳大学医学院,深圳518060 [2]深圳市妇幼保健院超声科,深圳518028

出　　处：《深圳大学学报（理工版）》2014年第5期455-463,共9页Journal of Shenzhen University(Science and Engineering)

基　　金：国家自然科学基金资助项目(61101026;81270707)~~

摘　　要：提出一种超声图像中胎儿头围自动测量的新方法.利用机器学习的随机森林(random forests,RFs)算法自动检测感兴趣区域(region of interest,ROI),通过图像局部相位对称(phase symmetry,PS)检测头围边缘,使用非迭代椭圆拟合算法拟合出头围椭圆.与医生手动拟合测量的结果对比,145个头像的平均相对偏差为-3.86 mm,表明该方法可以鲁棒的自动检测胎儿头围.A novel learning based method is proposed to automatically measure the fetal head circumference in ultrasound image. Firstly, the random forests classifier is utilized to detect the region of interest （ ROI） . Then, the fetal head contour in the ROI is segmented using the local phase symmetry-based method. Finally, the non-iterative ellipse fitting method is employed to determine an ellipse on the segmented head contour. Experiments on 145 images show that the mean relative deviation between automatic and manual measurements is -3. 86 mm, which demon-strates the feasibility of the proposed method.

关 键 词：图像处理 超声图像处理 相位对称性 边缘检测 椭圆拟合 随机森林算法 胎儿头围测量 

分 类 号：R318[医药卫生—生物医学工程]