2018
DOI: 10.1097/mao.0000000000001922
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Augmented Reality of the Middle Ear Combining Otoendoscopy and Temporal Bone Computed Tomography

Abstract: A precise augmented reality combining video and 3D CT-scan data can be applied to otoendoscopy without the use of conventional neuronavigation tracking thanks to computer vision algorithms.

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Cited by 24 publications
(39 citation statements)
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“…The aim of this study was to develop and assess a real-time AR system combining CT-scan data and microscopic video of the ear canal together with visualization of the surgical instrument behind closed tympanic membrane. This article extends our previous studies on AR based transtympanic procedures 15,22 by (1) validating the system's tracking schemes in near-realistic and challenging scenarios, and (2) imitating an actual procedure (drug administration), and (3) assessing the work in real-time instead of employing a recorded video. These developments brought the system several steps closer to its application in the operating room.…”
mentioning
confidence: 60%
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“…The aim of this study was to develop and assess a real-time AR system combining CT-scan data and microscopic video of the ear canal together with visualization of the surgical instrument behind closed tympanic membrane. This article extends our previous studies on AR based transtympanic procedures 15,22 by (1) validating the system's tracking schemes in near-realistic and challenging scenarios, and (2) imitating an actual procedure (drug administration), and (3) assessing the work in real-time instead of employing a recorded video. These developments brought the system several steps closer to its application in the operating room.…”
mentioning
confidence: 60%
“…A robust estimation of the operative microscope movements solely based on image features was developed in order to maintain correspondence with the CT-scan image 22 . A tracking scheme, comprising of RANSAC and nearest neighbour based Speeded-Up Robust Features (SURF) matching process was employed to determine transformation between consecutive frames [36][37][38] .…”
Section: Microscope Movement Trackingmentioning
confidence: 99%
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