Applications of Virtual and Augmented Reality in Biomedical Imaging

Area of Science:

• Medical Imaging
• Computer-Aided Surgery
• Virtual and Augmented Reality

Background:

• The increasing integration of Virtual and Augmented Reality (VR/AR) in medicine.
• The critical role of radiological images in surgical diagnosis and planning.
• Limitations of traditional 2D radiological images in surgical contexts.

Purpose of the Study:

• To present a novel approach for enhanced radiological image visualization using VR and AR.
• To improve surgical planning and intraoperative monitoring through advanced visualization techniques.
• To explore the potential of 3D model manipulation for surgical decision-making.

Main Methods:

• Development of an application for visualizing and manipulating radiological images in 3D using VR and AR.
• Investigation of automated segmentation techniques for radiological images.
• Application of computer vision and Artificial Intelligence (AI) for image segmentation.

Main Results:

• Demonstration of a system that transforms 2D radiological images into interactive 3D models.
• Successful visualization and manipulation of 3D radiological models in VR and AR environments.
• Proposed AI-driven methods for automating the segmentation of radiological images.

Conclusions:

• VR and AR offer a significant advancement over traditional 2D radiological images for surgical applications.
• The developed system enhances the visualization and manipulation of radiological data for improved surgical planning.
• AI and computer vision hold promise for automating key steps in preparing radiological data for VR/AR surgical applications.