%0 Journal Article
%T Automated classification platform for the identification of otitis media using optical coherence tomography
%A Darold R. Spillman
%A Guillermo L. Monroy
%A Jungeun Won
%A Malcolm C. Hill
%A Michael A. Novak
%A Paritosh Pande
%A Roshan Dsouza
%A Ryan G. Porter
%A Stephen A. Boppart
%J Archive of "NPJ Digital Medicine".
%D 2019
%R 10.1038/s41746-019-0094-0
%X Left: Portable optical coherence tomography (OCT) imaging system and handheld probe. This system was utilized to collect human subject data as part of several past and ongoing clinical observational studies in both outpatient and intraoperative surgical environments. The handheld probe and digital otoscope are shown inset. Right: Representative OCT cross-sectional (B-scan) images and A-line profiles. A OCT and digital otoscopy (inset) data from a normal ear. B Data from an ear with a middle ear biofilm (MEB). The A-line profile shows additional scattering behind the TM. C Subject with middle ear fluid (MEF) and a MEB. The scattering profile shows three distinct regions in the scan. White dashed lines denote the location of the A-line scan within the OCT B-scan. Scale bars represent 100 micrometers in dept
%K Translational research
%K Paediatric research
%K Imaging and sensing
%K Biomedical engineering
%K Machine learning
%U https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6550205/