Clinic of Oto-Rhino-Laryngology, Department of Medicine, Universitätsklinikum Dresden, Fetscherstr 74, D-01307 Dresden, Germany.
Hear Res. 2011 Dec;282(1-2):25-34. doi: 10.1016/j.heares.2011.06.009. Epub 2011 Jul 18.
We present a method for obtaining a complete geometry model of the fluid chambers of cochlea (scalae) from tomography images. An accurate segmentation of cochlea is problematic due to the low contrast of the inner membranes of scalae. Our method of 3D segmentation is based on dynamic resampling of an original image stack to achieve a perpendicular cross-section of the scalae on all sections. Subsequently, perpendicular cross-section is being segmented using 2D active contours. The center of mass of the contour is extracted and used to predict further course of scalae centerline by Kalman filter. Cross-section contours are subsequently assembled to the total geometry model. This method has been applied to CT images, but we expect that it could be used for segmentation of strongly curved low-contrast tubular objects recorded with other tomography techniques.
我们提出了一种从断层图像中获取耳蜗（scala）流体腔完整几何模型的方法。由于内耳膜的对比度低，耳蜗的精确分割是有问题的。我们的三维分割方法基于对原始图像堆栈进行动态重采样，以在所有切片上实现scala 的垂直横截面。随后，使用二维主动轮廓对垂直横截面进行分割。提取轮廓的质心，并使用卡尔曼滤波器预测 scala 中心线的进一步走向。随后将横截面轮廓组装到总几何模型中。该方法已应用于 CT 图像，但我们预计它可用于其他断层扫描技术记录的强弯曲低对比度管状物体的分割。
