Extended Reality in Medical Diagnosis and Surgical Planning

Area of Science:

• Medical Imaging
• Computer Science
• Human-Computer Interaction

Background:

• Three-dimensional (3D) medical imaging is crucial for diagnosis and surgical planning.
• eXtended Reality (XR) technologies offer immersive environments for analyzing 3D pathological data.
• Current 2D displays present limitations in visualizing complex 3D medical information.

Purpose of the Study:

• To investigate the impact of XR technologies on medical diagnosis and surgical planning.
• To evaluate the effectiveness of XR in improving the understanding of 3D medical data.
• To explore efficient interaction techniques and visualizations within XR for medical applications.

Main Methods:

• Conducted a series of experimental studies utilizing XR technologies (Virtual Reality, Augmented Reality, Mixed Reality).
• Focused on analyzing 3D pathological data within immersive XR environments.
• Assessed improvements in spatial understanding and data comprehension compared to traditional 2D displays.

Main Results:

• XR technologies significantly enhance the realistic viewing of 3D imaging data.
• XR reduces perceptual problems associated with 3D medical data visualization.
• Experimental studies confirmed improved medical data understanding using XR.

Conclusions:

• XR technologies, including VR, AR, and MR, offer substantial benefits for medical diagnosis and surgical planning.
• XR provides more intuitive and effective ways to interact with and understand complex 3D medical information.
• The use of XR in medicine leads to improved spatial awareness and diagnostic accuracy.