ORVIPO: An Ontological Prototype for Modeling 3D Scenes in Operating Rooms

Abstract

Virtual Operating room characterizes a large artificial environment of interaction in the medical context. It enables a better simulation for different surgical scenarios through 3D (three‐dimensional) objects. Virtual Reality (VR) uses computer technology to develop these virtual simulated applications. It brings valuable innovations in different fields. It is integrated also to enhance healthcare and therapies. To improve and assist on medical VR applications, ontologies would be useful. They can unify the content of these applications and facilitate their implementation via semantic rules. Also, ontologies can be applied to realize an effective VR knowledge modeling. This paper presents a virtual simulation of an operating room taking advantage of the semantic representation. The goal of this study is to propose a novel ontological VR system that models an operating room and its components. The execution of the proposed method was proved by the developed ontology OROnto (Operating Room Ontology). This ontology was useful for modeling hospital scenarios and the construction of a valuable VR system. To demonstrate the proposed approach feasibility and performance, we have implemented the Operating Room Virtual Integration Process Using Ontology (ORVIPO) prototype. Compared to different other ontological methods and related works, our approach have shown interesting findings such as recall (71%), precision (83%), and F-measure (76%).