Presentation + Paper
3 March 2017 Examining in vivo tympanic membrane mobility using smart phone video-otoscopy and phase-based Eulerian video magnification
Mirek Janatka, Krishan S. Ramdoo, Taran Tatla, Krittin Pachtrachai, Daniel S. Elson, Danail Stoyanov
Author Affiliations +
Abstract
The tympanic membrane (TM) is the bridging element between the pressure waves of sound in air and the ossicular chain. It allows for sound to be conducted into the inner ear, achieving the human sense of hearing. Otitis media with effusion (OME, commonly referred to as ‘glue ear’) is a typical condition in infants that prevents the vibration of the TM and causes conductive hearing loss, this can lead to stunting early stage development if undiagnosed. Furthermore, OME is hard to identify in this age group; as they cannot respond to typical audiometry tests. Tympanometry allows for the mobility of the TM to be examined without patient response, but requires expensive apparatus and specialist training. By combining a smartphone equipped with a 240 frames per second video recording capability with an otoscopic clip-on accessory, this paper presents a novel application of Eulerian Video Magnification (EVM) to video-otology, that could provide assistance in diagnosing OME. We present preliminary results showing a spatio-temporal slice taken from an exaggerated video visualization of the TM being excited in vivo on a healthy ear. Our preliminary results demonstrate the potential for using such an approach for diagnosing OME under visual inspection as alternative to tympanometry, which could be used remotely and hence help diagnosis in a wider population pool.
Conference Presentation
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mirek Janatka, Krishan S. Ramdoo, Taran Tatla, Krittin Pachtrachai, Daniel S. Elson, and Danail Stoyanov "Examining in vivo tympanic membrane mobility using smart phone video-otoscopy and phase-based Eulerian video magnification", Proc. SPIE 10134, Medical Imaging 2017: Computer-Aided Diagnosis, 101341Y (3 March 2017); https://doi.org/10.1117/12.2253729
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CITATIONS
Cited by 4 scholarly publications and 2 patents.
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KEYWORDS
Video

Ear

Visualization

In vivo imaging

Video processing

Signal processing

Cameras

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