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      Touchless control module for diagnostic images at the surgery room using the Leap Motion system and 3D Slicer Software Translated title: Módulo para el control sin contacto de imágenes diagnósticas en la sala de cirugía con el sistema leapmotion y el software 3D Slicer

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          Abstract

          ABSTRACT During surgical procedures, it is important that the personnel (surgeon, residents, or assistants) interact with the patient avoiding any physical contact with equipment and materials that might have not been appropriately sterilized. This is done in order to prevent patient’s infections and complications after surgery. With the increased availability of diagnostic images, this technology has become indispensable in operating rooms but to maintain asepsis control of computer equipment on which the visualization programs are executed is not always possible, hindering access to personnel to information contained in the images. This paper describes the development of a system that allows the personnel to manipulate a medical imaging display program using gestures, avoiding the surgeon or the nurse to have a direct contact with the computer. Thesystem, which requires a computer with 3D-Slicer software and Leap Motion(LM) device, allows through gestures made with the hands, to access the basic operations such as the movement between sections of a volume, to change the image size and the anatomical plane visualization; operations that are essential to the surgeon for the spatial location and decision making.

          Translated abstract

          RESUMEN Durante los procedimientos quirúrgicos es importante que el personal (cirujanos, residentes o asistentes) interactúe con el paciente, evitando cualquier contacto físico con equipo y materiales que pudieron no ser esterilizados apropiadamente. Esto se hace con el fin de evitar al paciente infecciones y complicaciones posteriores a la cirugía. Con el aumento de la disponibilidad de imágenes diagnósticas esta herramienta se ha hecho cada vez más indispensable en los quirófanos, pero no siempre es posible mantener el control de asepsia de los equipos informáticos en los cuales se ejecutan los programas de visualización, factor que dificulta el acceso al personal asistencial a la información contenida en las imágenes. En este trabajo se presenta el desarrollo de un sistema que permite manipular un programa de visualización de imágenes diagnósticas mediante gestos evitando que el cirujano tenga contacto directo con la computadora. El sistema, que requiere una computadora con el software 3D-Slicery el dispositivo LeapMotion, permite mediante gestos realizados con las manos acceder a operaciones básicas como el movimiento entre cortes de un volumen, cambio del tamaño de la imagen y cambio del plano anatómico de visualización, operaciones que para el cirujano son esenciales para la ubicación espacial y la toma de decisiones.

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          FAce MOUSe: a novel human-machine interface for controlling the position of a laparoscope

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            Vision based hand gesture recognition

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              [A new human machine interface in neurosurgery: The Leap Motion(®). Technical note regarding a new touchless interface].

              Currently, cross-sectional imaging viewing is used in routine practice whereas the surgical procedure requires physical contact with an interface (mouse or touch-sensitive screen). This type of contact results in a risk of lack of aseptic control and causes loss of time. The recent appearance of devices such as the Leap Motion(®) (Leap Motion society, San Francisco, USA) a sensor which enables to interact with the computer without any physical contact is of major interest in the field of surgery. However, its configuration and ergonomics produce key challenges in order to adapt to the practitioner's requirements, the imaging software as well as the surgical environment. This article aims to suggest an easy configuration of the Leap Motion(®) in neurosurgery on a PC for an optimized utilization with Carestream(®) Vue PACS v11.3.4 (Carestream Health, Inc., Rochester, USA) using a plug-in (to download at: https://drive.google.com/?usp=chrome_app#folders/0B_F4eBeBQc3ybElEeEhqME5DQkU) and a video tutorial (https://www.youtube.com/watch?v=yVPTgxg-SIk).
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                Author and article information

                Contributors
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Journal
                rfiua
                Revista Facultad de Ingeniería Universidad de Antioquia
                Rev.fac.ing.univ. Antioquia
                Facultad de Ingeniería, Universidad de Antioquia (Medellín, Antioquia, Colombia )
                0120-6230
                March 2017
                : 0
                : 82
                : 40-46
                Affiliations
                [1] Medellín Antioquía orgnameUniversidad de Antioquia orgdiv1Facultad de Ingeniería orgdiv2Grupo de Investigación en Bioinstrumentación e Ingeniería Clínica (GIBIC), Departamento de Bioingeniería Colombia
                Article
                S0120-62302017000100040
                10.17533/udea.redin.n82a05
                893316dc-fff0-4f55-b354-29d1059d4b37

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 21 December 2016
                : 07 May 2016
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 15, Pages: 7
                Product

                SciELO Colombia


                informática médica,Imágenes diagnósticas,interacción humano-computador,neurocirugía guiada por imágenes,sistemas de posicionamiento,Diagnostic imaging,human-computer interaction,image guided neurosurgery,medical informatics computing,positioning system

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