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从超声图像中自动测量胎儿头部

Automatic fetal head measurements from sonographic images.

作者信息

Chalana V, Winter T C, Cyr D R, Haynor D R, Kim Y

机构信息

Center for Bioengineering, University of Washington, Seattle 98195-2500, USA.

出版信息

Acad Radiol. 1996 Aug;3(8):628-35. doi: 10.1016/s1076-6332(96)80187-5.

Abstract

RATIONALE AND OBJECTIVES

We designed an image processing technique to automatically measure the biparietal diameter (BPD) and head circumference (HC) from prenatal sonograms. We evaluated the performance of the algorithm by comparing the resulting measurements with those made by experienced sonographers.

METHODS

Thirty-five digitized sonograms of the fetal head were obtained during routine imaging. The BPD and HC were automatically computed by detecting the inner and outer boundaries of the fetal skull using the computer vision technique known as the "active contour model." Six experienced sonographers also measured the BPD and HC on these images.

RESULTS

The algorithm failed to locate the boundaries in two of the 35 cases. For the remaining cases, the mean absolute difference between the automated measurements and the average of the six observers was 1.4% for BPD and 2.9% for HC. The correlations were .999 for the BPD and .994 for the HC. The computer's measurements were no different from the six observers' measurements than the observers' measurements were from one another.

CONCLUSION

The tested algorithm effectively and accurately measures BPD and HC automatically. We are currently in the process of integrating this algorithm into an ultrasound machine.

摘要

原理与目的

我们设计了一种图像处理技术,用于从产前超声图像中自动测量双顶径(BPD)和头围(HC)。我们通过将所得测量结果与经验丰富的超声检查医师的测量结果进行比较,评估了该算法的性能。

方法

在常规成像过程中获取了35张胎儿头部的数字化超声图像。使用称为“活动轮廓模型”的计算机视觉技术,通过检测胎儿颅骨的内边界和外边界,自动计算出BPD和HC。六位经验丰富的超声检查医师也对这些图像上的BPD和HC进行了测量。

结果

在35例病例中,该算法有2例未能定位边界。对于其余病例,自动测量值与六位观察者测量平均值之间的平均绝对差异,BPD为1.4%,HC为2.9%。BPD的相关性为0.999,HC的相关性为0.994。计算机测量值与六位观察者的测量值之间的差异,与观察者之间的测量差异无异。

结论

所测试的算法能够有效且准确地自动测量BPD和HC。我们目前正在将该算法集成到超声设备中。

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