Open Access
22 October 2018 Combined anatomical optical coherence tomography and intraluminal pressure reveal viscoelasticity of the in vivo airway
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Abstract
It is hypothesized that the local, viscoelastic (time-dependent) properties of the airway are important to accurately model and ultimately predict dynamic airway collapse in airway obstruction. Toward this end, we present a portable, endoscopic, swept-source anatomical optical coherence tomography (aOCT) system combined with a pressure catheter to capture local airway dynamics in vivo during respiration. aOCT scans were performed in the airways of a mechanically ventilated pig under paralysis with dynamic and static ventilation protocols. Validation of dynamic aOCT luminal cross-sectional area (CSA) measurements against Cine CT, obtained during the same exam, showed an aggregate difference of 15  %    ±  3  %  . aOCT-derived CSA obtained in the in vivo trachea also exhibited hysteresis as a function of pressure, depicting the viscoelastic nature of the airway wall. The volumetric imaging capabilities were validated by comparing aOCT- and CT-derived geometries of the porcine airway spanning nine generations from the trachea to the bronchioles. The ability to delineate regional differences in airway viscoelastic properties, by measuring airway deformation using aOCT combined with intraluminal pressure, paves the way to patient-specific models of dynamic airway collapse.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Santosh Balakrishnan, Ruofei Bu, Nicusor Iftimia, Hillel Price, Carlton Zdanski, and Amy L. Oldenburg "Combined anatomical optical coherence tomography and intraluminal pressure reveal viscoelasticity of the in vivo airway," Journal of Biomedical Optics 23(10), 100501 (22 October 2018). https://doi.org/10.1117/1.JBO.23.10.100501
Received: 16 July 2018; Accepted: 25 September 2018; Published: 22 October 2018
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CITATIONS
Cited by 9 scholarly publications.
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KEYWORDS
Optical coherence tomography

Computed tomography

In vivo imaging

Data acquisition

Endoscopy

Imaging systems

Physical sciences

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