Poster + Paper
12 March 2024 Segmental airway phantom for endobronchial optical coherence tomography
Author Affiliations +
Conference Poster
Abstract
MOTIVATION: Biological samples are not always available to validate performance during development of optical imaging devices for in vivo detection of potentially malignant lesions. Thus, to provide readily available testing, there is a need for phantoms with optical response similar to that of target tissue.

OBJECTIVES: 1) Fabricate lung tissue phantoms that mimic structural and optical properties of central and segmental airways for 1310 ± 50 nm endoscopic OCT. 2) Simulate vascular flow to characterize angiography. 3) Produce a robust and cost-effective alternative to ex vivo tissue.

METHODS: An agar matrix is mixed with intralipid and coconut oil to achieve tissue-like absorption and scattering properties. A partitioned 3D printed mould is used to mimic airway geometry and embedded tubing is used to simulate vasculature. Fluid-flow is visualized with inter-A-line speckle decorrelation methods. Phantom optical performance is qualitatively and quantitatively compared against segmental airways in previous in vivo human studies using the same imaging system.

RESULTS: Images of common bronchial structures (eg: ducts, airway branches) reproduced in the phantoms qualitatively resemble similar structures in vivo (lung airway LB9) in OCT. Airway epithelial thickening indicative of dysplastic progression in vivo is re-created in the phantoms. Depth resolved attenuation coefficients are calculated and plotted for images collected on the same system, quantitatively characterizing replication. Live vasculature is mimicked using intralipid flow and visualized.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
A. Fung, J. Malone, A. Tanskanen, M. Rehill, E. Brace, and P. Lane "Segmental airway phantom for endobronchial optical coherence tomography", Proc. SPIE 12833, Design and Quality for Biomedical Technologies XVII, 1283306 (12 March 2024); https://doi.org/10.1117/12.3003437
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Optical coherence tomography

Signal attenuation

Tissues

Matrices

In vivo imaging

Lung

Tissue optics

Back to Top