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首页> 外文期刊>Journal of Digital Imaging >Fully Automated System for Three-Dimensional Bronchial Morphology Analysis Using Volumetric Multidetector Computed Tomography of the Chest
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Fully Automated System for Three-Dimensional Bronchial Morphology Analysis Using Volumetric Multidetector Computed Tomography of the Chest

机译：全自动三维三维支气管断层扫描技术的三维支气管形态分析系统

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摘要

Recent advancements in computed tomography (CT) have enabled quantitative assessment of severity and progression of large airway damage in chronic pulmonary disease. The advent of fast multidetector computed tomography scanning has allowed the acquisition of rapid, low-dose 3D volumetric pulmonary scans that depict the bronchial tree in great detail. Volumetric CT allows quantitative indices of bronchial airway morphology to be calculated, including airway diameters, wall thicknesses, wall area, airway segment lengths, airway taper indices, and airway branching patterns. However, the complexity and size of the bronchial tree render manual measurement methods impractical and inaccurate. We have developed an integrated software package utilizing a new measurement algorithm termed mirror-image Gaussian fit that enables the user to perform automated bronchial segmentation, measurement, and database archiving of the bronchial morphology in high resolution and volumetric CT scans and also allows 3D localization, visualization, and registration.
机译：计算机断层扫描（CT）的最新进展已实现了对慢性肺部疾病严重气道损害的严重程度和进展的定量评估。快速多探测器计算机断层扫描的出现允许获得快速，低剂量的3D体积肺部扫描，这些扫描能详细描述支气管树。体积CT可以计算支气管气道形态的定量指标，包括气道直径，壁厚，壁面积，气道段长度，气道锥度指数和气道分支模式。然而，支气管树的复杂性和大小使得手动测量方法不切实际且不准确。我们开发了一种集成软件包，利用称为镜像高斯拟合的新测量算法，使用户能够在高分辨率和体积CT扫描中对支气管形态进行自动的支气管分割，测量和数据库归档，还可以进行3D定位，可视化和注册。

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