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Implementation Details for Controlling Contactless 3D Virtual Endoscopy

RIT Croatia, WMC Department, 10000 Zagreb, Croatia
Klapan Medical Group Polyclinic, 10000 Zagreb, Croatia
Faculty of Dental Medicine and Health, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia
School of Medicine, University of Zagreb, 10000 Zagreb, Croatia
Bitmedix d.o.o., 10000 Zagreb, Croatia
Author to whom correspondence should be addressed.
Academic Editor: Herbert Schneckenburger
Appl. Sci. 2022, 12(11), 5757;
Received: 9 April 2022 / Revised: 26 May 2022 / Accepted: 2 June 2022 / Published: 6 June 2022
(This article belongs to the Topic eHealth and mHealth: Challenges and Prospects)
In the medical world, with the innovative application of medical informatics, it is possible to enable many aspects of surgeries that were not able to be addressed before. One of these is contactless surgery planning and controlling the visualization of medical data. In our approach to contactless surgery, we adopted a new framework for hand and motion detection based on augmented reality. We developed a contactless interface for a surgeon to control the visualization options in our DICOM (Digital Imaging and Communications in Medicine) viewer platform that uses a stereo camera as a sensor device input that controls hand/finger motions, in contactless mode, and applied it to 3D virtual endoscopy. In this paper, we will present our proposal for defining motion parameters in contactless, incisionless surgeries. We enabled better surgeon’s experience, more precise surgery, real-time feedback, depth motion tracking, and contactless control of visualization, which gives freedom to the surgeon during the surgery. We implemented motion tracking using stereo cameras with depth resolution and precise shutter sensors for depth streaming. Our solution provides contactless control with a range up to 2–3 m that enables the application in the operating room. View Full-Text
Keywords: contactless surgery; 3D visualizations; hand tracking contactless surgery; 3D visualizations; hand tracking
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MDPI and ACS Style

Zagar, M.; Klapan, I.; Mutka, A.; Majhen, Z. Implementation Details for Controlling Contactless 3D Virtual Endoscopy. Appl. Sci. 2022, 12, 5757.

AMA Style

Zagar M, Klapan I, Mutka A, Majhen Z. Implementation Details for Controlling Contactless 3D Virtual Endoscopy. Applied Sciences. 2022; 12(11):5757.

Chicago/Turabian Style

Zagar, Martin, Ivica Klapan, Alan Mutka, and Zlatko Majhen. 2022. "Implementation Details for Controlling Contactless 3D Virtual Endoscopy" Applied Sciences 12, no. 11: 5757.

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