Autors: Manolova, A. H.
Title: System for touchless interaction with medical images in surgery using Leap Motion
Keywords: touchless interaction, Leap Motion controller, gesture recog

Abstract: In the operating room surgeons need to have access to pre- and intra-operative images such as computer tomography (CT), magnetic resonance imagery (MRI), x-ray images and fluoroscopy along with various procedure-specific imaging applications. This visual data supports diagnostics and planning and provide virtual “insight” into the body of the patient during surgery. Although surgeons rely on capture, browsing and manipulation of these images they are constrained by typical interaction mechanisms such as keyboard and mouse. At the heart of this constraint is the need to maintain a strict boundary between the sterile and non sterile environment. In this paper we present a new system based on combining the Leap Motion gesture recognition controller and medical imaging toolkit for touchless visualization and browsing for medical image data.

References

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Issue

9th International Conference on Communications, Electromagnetics and Medical Applications, vol. 1, pp. 113-116, 2014, Bulgaria, ISSN 1314-2100

Full text of the publication

Цитирания (Citation/s):
1. Reinschluessel, A. V., Teuber, J., Herrlich, M., Bissel, J., van Eikeren, M., Ganser, J., ... & Malaka, R. (2017, May). Virtual reality for user-centered design and evaluation of touch-free interaction techniques for navigating medical images in the operating room. In Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems (pp. 2001-2009). - 2017 - в издания, индексирани в Scopus или Web of Science
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