Multi-modal anatomical Optical Coherence Tomography and CT for in vivo Dynamic Upper Airway Imaging.

Multi-modal anatomical Optical Coherence Tomography and CT for in vivo Dynamic Upper Airway Imaging.
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用于体内动态上呼吸道成像的多模式解剖光学相干断层扫描和 CT。

DOI:
10.1117/12.2250348
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发表时间:
2017
期刊:
Proceedings of SPIE--the International Society for Optical Engineering
影响因子:
--
通讯作者:
Oldenburg,AmyL
Oldenburg,AmyL
中科院分区:
--
文献类型:
--
作者:
Balakrishnan,Santosh;Bu,Ruofei;Price,Hillel;Zdanski,Carlton;Oldenburg,AmyL

文献摘要

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我们描述了一种新颖的多模态成像协议,用于验证使用解剖光学相干断层扫描(aOCT)进行的定量动态气道成像。 aOCT 系统由通过支气管镜部署的基于导管的 aOCT 探头组成,同时使用可编程呼吸机来控制气道压力。该装置用于能够执行呼吸门控采集的西门子 Biograph CT 系统的床上。在这种布置中,aOCT 导管的位置可以通过 CT 可视化以帮助共同配准。利用这种设置,我们使用 aOCT 和呼吸门控 CT 对离体猪气管和活体麻醉猪研究了多个呼吸压力参数。该采集协议能够实时测量气道变形,同时测量生理相关静态和动态条件下的压力 - 吸气峰值或气道正压峰值为 10-40 cm H2O,以及每分钟 20-30 次呼吸以进行动态研究。随后,我们比较了从 aOCT 和 CT 获得的气道横截面积(CSA),包括动态研究中呼吸周期不同阶段的 CSA 变化,以及静态研究中不同峰值气道正压时的 CSA 变化。这种方法使我们能够改进采集方法并首次验证动态气道的 aOCT 测量结果。我们相信,该协议对于 aOCT 系统的开发将具有无价的价值,并极大地促进用于气道成像的 OCT 系统转化为临床环境。
We describe a novel, multi-modal imaging protocol for validating quantitative dynamic airway imaging performed using anatomical Optical Coherence Tomography (aOCT). The aOCT system consists of a catheter-based aOCT probe that is deployed via a bronchoscope, while a programmable ventilator is used to control airway pressure. This setup is employed on the bed of a Siemens Biograph CT system capable of performing respiratory-gated acquisitions. In this arrangement the position of the aOCT catheter may be visualized with CT to aid in co-registration. Utilizing this setup we investigate multiple respiratory pressure parameters with aOCT, and respiratory-gated CT, on both ex vivo porcine trachea and live, anesthetized pigs. This acquisition protocol has enabled real-time measurement of airway deformation with simultaneous measurement of pressure under physiologically relevant static and dynamic conditions- inspiratory peak or peak positive airway pressures of 10–40 cm H2O, and 20–30 breaths per minute for dynamic studies. We subsequently compare the airway cross sectional areas (CSA) obtained from aOCT and CT, including the change in CSA at different stages of the breathing cycle for dynamic studies, and the CSA at different peak positive airway pressures for static studies. This approach has allowed us to improve our acquisition methodology and to validate aOCT measurements of the dynamic airway for the first time. We believe that this protocol will prove invaluable for aOCT system development and greatly facilitate translation of OCT systems for airway imaging into the clinical setting.