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Dataset Information

Segmental airway adenocarcinoma-simulating phantom for endoscopic near-infrared optical coherence tomography.


ABSTRACT:

Significance

There is an unmet need for readily accessible imaging targets to verify whether devices can discriminate lesions from healthy tissue and identify sub-surface vasculature in the small airways.

Aim

Our aim is to develop a phantom that mimics human segmental airway adenocarcinoma in vivo for 1310 nm endoscopic optical coherence tomography (OCT) and angiography characterization.

Approach

We develop phantoms using a mixture of agar, intralipid, and coconut oil cured in a 3D printed mold with embedded tubing to mimic vasculature. The parenchyma optical attenuation coefficient (OAC) is calibrated using optical transmission measurements from an agar and intralipid dilution series. Depth-resolved OAC histogram distributions, analysis of variance, and image

SUBMITTER: Brace E 

PROVIDER: S-EPMC12509969 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature