Reinartz Rianne, Platel Bram, Boselie Toon, van Mameren Henk, van Santbrink Henk, Romeny Bart ter Haar
Dept. of Biomed. Eng., Eindhoven University of Technology, The Netherlands.
Med Image Comput Comput Assist Interv. 2009;12(Pt 1):524-31. doi: 10.1007/978-3-642-04268-3_65.
For patients with neck problems valuable functional and diagnostic information can be obtained from a fluoroscopy video of a flexion-extension movement of the cervical spine. In most cases physicians have to manually extract the vertebrae, making the analysis of these video sequences tedious and time consuming. In this paper we propose an automatic fast and precise method for tracking cervical vertebrae. Our method relies only on a rough selection of template areas of each vertebra in a single frame of the video sequence. Compared to existing automated methods, no contours need to be extracted and no vertebra segmentation is required. Tracking is done with a normalized gradient field, using only the gradient orientations as features. Experimental results show that the algorithm is robust and able to track the vertebrae accurately even if they are partially occluded or if a disc prosthesis is present.
对于患有颈部问题的患者,通过颈椎屈伸运动的荧光透视视频可以获得有价值的功能和诊断信息。在大多数情况下,医生必须手动提取椎骨,这使得对这些视频序列的分析既繁琐又耗时。在本文中,我们提出了一种自动、快速且精确的颈椎跟踪方法。我们的方法仅依赖于视频序列单帧中每个椎骨模板区域的粗略选择。与现有的自动化方法相比,无需提取轮廓,也无需进行椎骨分割。跟踪是通过归一化梯度场完成的,仅使用梯度方向作为特征。实验结果表明,该算法具有鲁棒性,即使椎骨部分被遮挡或存在椎间盘假体,也能够准确跟踪椎骨。