Liu Y J, Ng W S, Teo M Y, Lim H C
Nanyang Technological University, School of Mechanical & Production Engineering, Singapore.
Med Biol Eng Comput. 1997 Sep;35(5):445-54. doi: 10.1007/BF02525522.
A new method is presented for automatic prostate boundary detection in ultrasound images taken transurethrally or transrectally. This is one of the stages in the implementation of a robotic procedure for prostate surgery performed by a robot known as the robot for urology (UROBOT). Unlike most edge detection methods, which detect object edges by means of either a spatial filter (such as Sobel, Laplacian or something of that nature) or a texture descriptor (local signal-to-noise ratio, joint probability density function etc.), this new approach employs a technique called radial bas-relief (RBR) to outline the prostate boundary area automatically. The results show that the RBR method works well in the detection of the prostate boundary in ultrasound images. It can also be useful for boundary detection problems in medical images where the object boundary is hard to detect using traditional edge detection algorithms, such as ultrasound of the uterus and kidney.
提出了一种用于经尿道或经直肠获取的超声图像中自动检测前列腺边界的新方法。这是由一种名为泌尿外科机器人（UROBOT）的机器人执行前列腺手术的机器人程序实施过程中的一个阶段。与大多数边缘检测方法不同，大多数边缘检测方法通过空间滤波器（如索贝尔、拉普拉斯或类似性质的滤波器）或纹理描述符（局部信噪比、联合概率密度函数等）来检测物体边缘，而这种新方法采用了一种称为径向浮雕（RBR）的技术来自动勾勒前列腺边界区域。结果表明，RBR方法在超声图像中前列腺边界检测方面效果良好。它对于使用传统边缘检测算法难以检测物体边界的医学图像中的边界检测问题也可能有用，例如子宫和肾脏的超声检查。
