Negahdar Mohamadreza, Ahmadian Alireza, Navab Nassir, Firouznia Kavous
Dept. of Biomedical Systems & Medical Physics, Tehran University of Medica Sciences, Iran.
Conf Proc IEEE Eng Med Biol Soc. 2006;2006:156-9. doi: 10.1109/IEMBS.2006.259954.
We have developed an automated path planning method, which enables virtual bronchoscopic 3D multidetector computed tomography (MDCT) image analysis and follow on image-guided bronchoscopy. The method fundamentals are novel combination of distance transformation and snake-based models. The computation time of our algorithm is faster than similar works and there were no missing or false branches in the final path of airways. The planned path is suitable for quantitative airway analysis and smooth virtual navigation.
我们开发了一种自动路径规划方法,该方法能够实现虚拟支气管镜3D多探测器计算机断层扫描(MDCT)图像分析,并可用于后续的图像引导支气管镜检查。该方法的基本原理是距离变换和基于蛇形模型的新颖组合。我们算法的计算时间比同类研究更快,并且气道最终路径中没有出现分支遗漏或错误的情况。所规划的路径适用于气道定量分析和平滑的虚拟导航。