RESUMEN

BACKGROUND AND AIMS: During COVID-19 pandemic, researchers are using innovative technologies for fast-tracking the development to end this menace. Virtual Reality (VR) also offers an imperative role for fighting this pandemic, through audiovisual-based virtual communication. METHODS: A brief study on Virtual Reality and its applications for the COVID-19 pandemic is carried out by employing keywords as Virtual reality or VR and COVID-19 from the databases of SCOPUS, Google Scholar, PubMed, Web of science Academia and ResearchGate. RESULTS: VR is beneficial for remote sites for exploring telemedicine, planning, treatment, and controlling of the infections by providing proper awareness to the people regarding this disease. CONCLUSIONS: VR technology develops a platform to reduce the face to face interaction of doctors with the infected COVID-19 patients. Through live video streaming, it helps to improve surveillance systems on the ongoing situation.

Asunto(s)

Infecciones por Coronavirus/epidemiología , Infecciones por Coronavirus/terapia , Pandemias , Neumonía Viral/epidemiología , Neumonía Viral/terapia , Telemedicina/tendencias , Realidad Virtual , COVID-19 , Infecciones por Coronavirus/prevención & control , Sistemas de Apoyo a Decisiones Clínicas , Encuestas de Atención de la Salud , Humanos , Pandemias/prevención & control , Educación del Paciente como Asunto , Neumonía Viral/prevención & control , Pautas de la Práctica en Medicina

RESUMEN

Virtual reality (VR) has the potential to aid in the understanding of complex volumetric medical images, by providing an immersive and intuitive experience accessible to both experts and non-imaging specialists. A key feature of any clinical image analysis tool is measurement of clinically relevant anatomical structures. However, this feature has been largely neglected in VR applications. The authors propose a Unity-based system to carry out linear measurements on three-dimensional (3D), purposefully designed for the measurement of 3D echocardiographic images. The proposed system is compared to commercially available, widely used image analysis packages that feature both 2D (multi-planar reconstruction) and 3D (volume rendering) measurement tools. The results indicate that the proposed system provides statistically equivalent measurements compared to the reference 2D system, while being more accurate than the commercial 3D system.