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Evaluation of the human airway with multi-detector x-ray-computed tomography and optical imaging

机译:使用多探测器X射线计算机断层扫描和光学成像技术评估人的气道

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摘要

Defining the healthy human airway is important in enhancing our understanding of pulmonary disease states such as inflammation and cancer. The structure of the human airway, both static and dynamic, can be assessed using multi-detector CT (MDCT) scanning. This modality also allows for the evaluation of structures outside of the airway. The airway wall can be directly visualized using CCD chip high-resolution color optical imaging through endoscopy allowing bronchial wall evaluation by traditional biopsy methods, as well as by newer optically based strategies. We suggest that these two imaging modalities, MDCT and optical imaging, provide complementary information about the normal airway, and the airway in various diseases. Methods for evaluating the human airway using MDCT images are presented facilitating automatic airway segmentation, branchpoint finding and airway dimension analysis. The airway wall color is objectively evaluated as an important surrogate for airway wall inflammation and cancer formation, and the integration of the color endoscopic information into the MDCT scan data set is currently ongoing. The amalgamation of these two digital imaging modalities appears increasingly useful for enabling biopsy techniques, and for relating structure and function of the airway. In addition, these developments may be progressively more useful in understanding the normal airway structure and function, for defining airway diseases patterns and for guiding biopsy and therapeutic procedures.
机译:定义健康的人类呼吸道对于增进我们对肺部疾病状态(例如炎症和癌症)的理解非常重要。可以使用多探测器CT(MDCT)扫描来评估人的气道结构(静态和动态)。这种方式还允许评估气道外部的结构。气道壁可以通过内窥镜检查使用CCD芯片高分辨率彩色光学成像直接可视化,从而可以通过传统的活检方法以及新的基于光学的策略对支气管壁进行评估。我们建议这两种成像方式,即MDCT和光学成像,可提供有关正常气道以及各种疾病的气道的补充信息。提出了使用MDCT图像评估人的气道的方法,有助于自动气道分割,分支点查找和气道尺寸分析。客观评估气道壁颜色是气道壁炎症和癌症形成的重要替代方法,目前正在进行将颜色内窥镜信息集成到MDCT扫描数据集中的工作。这两种数字成像方式的融合对于启用活检技术以及与气道的结构和功能相关似乎越来越有用。此外,这些进展在理解正常的气道结构和功能,定义气道疾病模式以及指导活检和治疗程序方面可能会越来越有用。

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