Integrated CT/bronchoscopy in the central airways: Preliminary results
Integrated CT/bronchoscopy in the central airways: Preliminary results
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DOI：
10.1016/j.acra.2008.03.001
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发表时间：
2008-06-01
影响因子：
4.8
通讯作者：
McLennan, Geoffrey
中科院分区：
文献类型：
--
作者：
Suter, Melissa J.;Reinhardt, Joseph M.;McLennan, Geoffrey
基本原理和目标。存在许多用于评估肺气道的成像模式和方法。每种模式单独提供对气道状态的洞察；然而，它们本身并不一定提供全面的描述。这项工作的目标是整合互补的医学成像数据集，形成气道的协同描述。材料和方法。使用两种数字支气管镜技术来评估肺粘膜。使用数字彩色支气管镜系统来检测粘膜颜色变化，并使用荧光检测系统来评估支气管粘膜的微血管系统。研究参与者还使用多探测器行计算机断层扫描 (MDCT) 扫描仪进行成像。利用虚拟支气管镜和图像配准技术将从 MDCT 数据中提取的三维表面渲染与二维数字支气管镜图像结合在一起。融合过程的验证是在带有 4 个嵌入金属珠的成人气道橡胶模型上进行的。结果。为三名研究参与者展示了 MDCT 提取的气道树和数字支气管镜数据集的融合。此外，在幻影气道模型中，可靠对齐 MDCT 和支气管镜图像数据集的配准方法的检测精度为 1.98 mm。结论。我们已经证明，合并三个不同的数字数据集以提供气路的单一协同描述是可能的。这是 eidomics 领域的一个试点项目，即将数字图像数据集和基于图像的过程结合在一起。我们预计未来 eidomics 将提供一种通用的预测性成像语言，从而改变医疗保健的提供。
Rationale and Objectives. Many imaging modalities and methodologies exist for evaluating the pulmonary airways. Individually, each modality provides insight to the state of the airways; however, alone they do not necessarily provide a comprehensive description. The goal of this work is to integrate complementary medical imaging datasets to form a synergistic description of the airways.Materials and Methods. Two digital bronchoscopic techniques were used to evaluate the pulmonary mucosa. A digital color bronchoscopic system was used to detect mucosal color alterations, and a fluorescence detection system was used to assess the microvasculature of the bronchial mucosa. Study participants were also imaged with a multidetector row computed tomographic (MDCT) scanner. Virtual bronchoscopic and image registration techniques were exploited to combine three-dimensional surface renderings, extracted from the MDCT data, together with the two-dimensional digital bronchoscopic images. Validation of the fusion process was performed on a rubber phantom of an adult airway with 4 embedded metal beads.Results. The fusion of the MDCT extracted airway tree and the digital bronchoscopic datasets were presented for three study participants. In addition, the detected accuracy of the registration method to reliably align the MDCT and bronchoscopic image datasets was determined to be 1.98 mm in the phantom airway model.Conclusion. We have demonstrated that merging of three distinct digital datasets to provide a single synergistic description of the air-ways is possible. This is a pilot project in the field of eidomics, the process of combining digital image datasets and image-based processes together. We anticipate that in the future eidomics will provide a universal and predictive imaging language that will change health care delivery.