Aarnink R G, Giesen R J, Huynen A L, de la Rosette J J, Debruyne F M, Wijkstra H
Department of Urology, University Hospital Nijmegen, The Netherlands.
Ultrasound Med Biol. 1994;20(8):705-17. doi: 10.1016/0301-5629(94)90028-0.
This paper describes a practical method for automated determination of the contour of the prostate in ultrasonographic images. In this method, we use specific edge detection techniques, based on nonlinear Laplace filtering. Possible edges are located at zero-crossings of the second derivative of the image. The strength of the edge is reflected by the value of the gradient of the image at that location. Combining the information about location and strength, an edge intensity image is constructed from the initial ultrasonographic image. In our method, edge enhancement techniques are performed on the edge intensity image. Edges that actually represent a boundary are selected and linked: interpolation techniques are used to fill the gaps between detected boundary edges. The method for contour determination in ultrasonographic images is used for accurate volume measurements in an everyday clinical environment. Its computer implementation is fast, accurate (mean difference within 6% of exact volume) and easy to use.
本文描述了一种在超声图像中自动确定前列腺轮廓的实用方法。在该方法中，我们基于非线性拉普拉斯滤波使用特定的边缘检测技术。可能的边缘位于图像二阶导数的零交叉点处。边缘的强度由该位置处图像梯度的值反映。结合关于位置和强度的信息，从初始超声图像构建边缘强度图像。在我们的方法中，对边缘强度图像执行边缘增强技术。选择并连接实际代表边界的边缘：使用插值技术填充检测到的边界边缘之间的间隙。超声图像中的轮廓确定方法用于日常临床环境中的精确体积测量。其计算机实现快速、准确（平均差异在精确体积的6%以内）且易于使用。
