Department of Electrical Engineering, Penn State University, University Park, Pennsylvania, PA 16802, USA.
J Digit Imaging. 2012 Apr;25(2):307-17. doi: 10.1007/s10278-011-9433-7.
Multi-detector computed tomography (MDCT) scanners produce high-resolution images of the chest. Given a patient's MDCT scan, a physician can use an image-guided intervention system to first plan and later perform bronchoscopy to diagnostic sites situated deep in the lung periphery. An accurate definition of complete routes through the airway tree leading to the diagnostic sites, however, is vital for avoiding navigation errors during image-guided bronchoscopy. We present a system for the robust definition of complete airway routes suitable for image-guided bronchoscopy. The system incorporates both automatic and semiautomatic MDCT analysis methods for this purpose. Using an intuitive graphical user interface, the user invokes automatic analysis on a patient's MDCT scan to produce a series of preliminary routes. Next, the user visually inspects each route and quickly corrects the observed route defects using the built-in semiautomatic methods. Application of the system to a human study for the planning and guidance of peripheral bronchoscopy demonstrates the efficacy of the system.
多探测器计算机断层扫描(MDCT)扫描仪可生成胸部的高分辨率图像。对于患者的 MDCT 扫描,医生可以使用图像引导干预系统首先计划,然后进行支气管镜检查以到达位于肺外周深处的诊断部位。然而,准确定义通向诊断部位的气道树的完整路径对于避免图像引导支气管镜检查期间的导航错误至关重要。我们提出了一种用于图像引导支气管镜检查的稳健气道完整路径定义系统。该系统为此目的结合了自动和半自动 MDCT 分析方法。使用直观的图形用户界面,用户可以在患者的 MDCT 扫描上调用自动分析以生成一系列初步路径。接下来,用户可以直观地检查每条路径,并使用内置的半自动方法快速纠正观察到的路径缺陷。该系统在用于规划和指导外周支气管镜检查的人体研究中的应用证明了该系统的有效性。