A Virtual Reality System for Accurate Cardiac Modeling and Multiple Virtual Operations

Abstract

With the development of modern medicine, more and more methods can be used to diagnose cardiac diseases. At present, the conventional detection methods include X-ray, computed tomography (CT), magnetic resonance imaging (MRI), B-ultrasound, etc. However, the detection results are usually not intuitive enough, and it is difficult to support the sequential operation. We designed a multi-functional system based on the virtual reality (VR) equipment. We use CT and myocardial perfusion imaging (MPI) as data sources to build accurate cardiac models, and users can make operations such as rotation and scaling on these models. Experiment results have shown that the system allows users to observe cardiac tissue more intuitively, and realizes functions for the surgical program. This enables users to understand the cardiac condition more intuitively and accurately.