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3D Path Planning and Extension for Endoscopic Guidance

机译:内窥镜引导的3D路径规划和扩展

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摘要

Physicians use endoscopic procedures to diagnose and treat a variety of medical conditions. For example, bronchoscopy is often performed to diagnose lung cancer. The current practice for planning endoscopic procedures requires the physician to manually scroll through the slices of a three-dimensional (3D) medical image. When doing this scrolling, the physician must perform 3D mental reconstruction of the endoscopic route to reach a specific diagnostic region of interest (ROI). Unfortunately, in the case of complex branching structures such as the airway tree, ROIs are often situated several generations away from the organ's origin. Existing image-analysis methods can help define possible endoscopic navigation paths, but they do not provide specific routes for reaching a given ROI. We have developed an automated method to find a specific route to reach an ROI. Given a 3D medical image, our method takes as inputs: (1) pre-defined ROIs; (2) a segmentation of the branching organ through which the endoscopic device will navigate; and (3) centerlines (paths) through the segmented organ. We use existing methods for branching-organ segmentation and centerline extraction. Our method then (1) identifies the closest paths (routes) to the ROI; and (2) if necessary, performs a directed search for the organ of interest, extending the existing paths to complete a route. Results from human 3D computed tomography chest images illustrate the efficacy of the method.
机译:医师使用内窥镜检查程序来诊断和治疗各种医疗状况。例如,经常进行支气管镜检查以诊断肺癌。用于计划内窥镜程序的当前实践要求医生手动滚动浏览三维(3D)医学图像的切片。执行此滚动操作时,医生必须对内窥镜检查路径进行3D心理重建,以达到特定的目标诊断区域(ROI)。不幸的是,在复杂的分支结构(例如气道树)的情况下,ROI通常位于距器官起源几代之遥的位置。现有的图像分析方法可以帮助定义可能的内窥镜导航路径,但是它们不提供实现给定ROI的特定路线。我们已经开发出一种自动方法来找到实现ROI的特定途径。给定3D医学图像,我们的方法将输入:(1)预定义的ROI; (2)内窥镜设备将通过的分支器官的分割; (3)通过分割器官的中心线(路径)。我们使用现有方法进行分支器官分割和中心线提取。然后,我们的方法(1)确定最接近ROI的路径(路线); (2)如有必要,对感兴趣的器官进行定向搜索,扩展现有路径以完成一条路线。人类3D计算机断层扫描胸部图像的结果说明了该方法的有效性。

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