A compact structured light based otoscope for three dimensional imaging of the tympanic membrane
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Author(s)
Estrada, Julio C.
Das, Anshuman Jyothi
Ge, Zhifei
Dolcetti, Sara
Chen, Deborah L.
Raskar, Ramesh
Date Issued
February 2015
Journal
Proceedings of SPIE--the Society of Photo-Optical Instrumentation Engineers
Publisher
SPIE
Citation
Das, Anshuman J.; Estrada, Julio C.; Ge, Zhifei et al. “A Compact Structured Light Based Otoscope for Three Dimensional Imaging of the Tympanic Membrane.” Edited by Bernard Choi, Nikiforos Kollias, Haishan Zeng, Hyun Wook Kang, Brian J. F. Wong, Justus F. Ilgner, Alfred Nuttal, et al. Photonic Therapeutics and Diagnostics XI, 93031F (February 2015): 1-16 © 2015 Society of Photo-Optical Instrumentation Engineers (SPIE)
Version
Final published version
Abstract
Three dimensional (3D) imaging of the tympanic membrane (TM) has been carried out using a traditional otoscope equipped with a high-definition webcam, a portable projector and a telecentric optical system. The device allows us to project fringe patterns on the TM and the magnified image is processed using phase shifting algorithms to arrive at a 3D description of the TM. Obtaining a 3D image of the TM can aid in the diagnosis of ear infections such as otitis media with effusion, which is essentially fluid build-up in the middle ear. The high resolution of this device makes it possible examine a computer generated 3D profile for abnormalities in the shape of the eardrum. This adds an additional dimension to the image that can be obtained from a traditional otoscope by allowing visualization of the TM from different perspectives. In this paper, we present the design and construction of this device and details of the imaging processing for recovering the 3D profile of the subject under test. The design of the otoscope is similar to that of the traditional device making it ergonomically compatible and easy to adopt in clinical practice.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Department of Mechanical Engineering
Massachusetts Institute of Technology. Media Laboratory
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DOI of Published Version
https://doi.org/10.1117/12.2079761
