Applications of Virtual and Augmented Reality in Biomedical Imaging

• Published in: Journal of medical systems Vol. 43; no. 4; pp. 1 - 5
• Main Authors: González Izard, Santiago, Juanes Méndez, Juan A., Ruisoto Palomera, Pablo, García-Peñalvo, Francisco J.
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.04.2019; Springer Nature B.V
• Subjects: Artificial intelligence; Augmented reality; Computer applications; Computer vision; Health Informatics; Health Sciences; Human-computer interaction; Image enhancement; Image manipulation; Image processing; Image segmentation; Medical imaging; Medicine; Medicine & Public Health; Mobile & Wireless Health; Statistics for Life Sciences; Surgery; Technological Innovations in Biomedical Training and Practice (TEEM 2018); Three dimensional models; Two dimensional models; Virtual reality; Image segmentation; 3D visualization; Radiological images; DICOM; Augmented reality; Virtual reality
• ISSN: 0148-5598; 1573-689X
• 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.