ARSOFT, Calle del Duero 12, Science Park, 37185, Villamayor, Spain.
VisualMed System Group, University of Salamanca, Avda. Alfonso X El Sabio s/n, Salamanca, Spain.
J Med Syst. 2019 Mar 14;43(4):102. doi: 10.1007/s10916-019-1239-z.
Virtual and Augmented Reality has experienced a steady growth in medicine in recent years. At the same time, the radiological images play a central role in the diagnosis and planification of surgical approaches. The aim of this study is to present the first attempt to enhanced radiological image visualization using virtual and augmented reality for better planification and monitorization of surgeries. This application allows to move beyond traditional two-dimensional images towards three-dimensional models that can be visualized and manipulated with both Augmented Reality and Virtual Reality. We propose possible approaches to automate the segmentation of radiological images, using computer vision techniques and Artificial Intelligence.
虚拟现实和增强现实技术近年来在医学领域得到了稳步发展。与此同时，放射影像学在诊断和手术方法规划中起着核心作用。本研究旨在首次尝试使用虚拟现实和增强现实技术增强放射影像学可视化，以更好地规划和监测手术。该应用程序允许超越传统的二维图像，转向可以使用增强现实和虚拟现实进行可视化和操作的三维模型。我们提出了使用计算机视觉技术和人工智能自动分割放射图像的可能方法。
