Lu Wei, Tan Jinglu, Floyd Randall
Department of Biological Engineering, University of Missouri, Columbia, MO 65211, USA.
Ultrasound Med Biol. 2005 Jul;31(7):929-36. doi: 10.1016/j.ultrasmedbio.2005.04.002.
An image-processing and object-detection method was developed to automate the measurements of biparietal diameter (BPD) and head circumference (HC) in ultrasound fetal images. The heads in 214 of 217 images were detected by an iterative randomized Hough transform. A head was assumed to have an elliptical shape with parameters progressively estimated by the iterative randomized Hough transform. No user input or size range of the head was required. The detection and measurement took 1.6 s on a personal computer. The interrun variations of the algorithm were small at 0.84% for BPD and 2.08% for HC. The differences between the automatic measurements and sonographers' manual measurements were 0.12% for BPD and -0.52% for HC. The 95% limits of agreement were -3.34%, 3.58% for BPD and -5.50%, 4.45% for HC. The results demonstrated that the automatic measurements were consistent and accurate. This method provides a valuable tool for fetal examinations.
开发了一种图像处理和目标检测方法,以自动测量超声胎儿图像中的双顶径(BPD)和头围(HC)。通过迭代随机霍夫变换在217幅图像中的214幅中检测到了头部。假设头部为椭圆形,其参数由迭代随机霍夫变换逐步估计。无需用户输入或头部的尺寸范围。在个人计算机上,检测和测量耗时1.6秒。算法的批间差异较小,BPD为0.84%,HC为2.08%。自动测量与超声检查人员手动测量之间的差异,BPD为0.12%,HC为 -0.52%。BPD的95%一致性界限为 -3.34%,3.58%;HC的95%一致性界限为 -5.50%,4.45%。结果表明自动测量是一致且准确的。该方法为胎儿检查提供了一种有价值的工具。