Verification, Evaluation, and Validation: Which, How & Why, in Medical Augmented Reality System Design

Area of Science:

• Medical Imaging
• Computer-Assisted Interventions
• Augmented and Virtual Reality (AR/VR) Systems

Background:

• AR/VR systems are increasingly used in medical imaging and computer-assisted interventions.
• Robust analysis frameworks are crucial for ensuring the reliability and safety of these systems.
• Existing literature often lacks a unified approach to analyzing AR/VR systems in a medical context.

Purpose of the Study:

• To present fundamental principles for the analysis of AR/VR systems in medical applications.
• To define and illustrate the core concepts of Verification, Evaluation, and Validation (V&V) for AR/VR systems.
• To relate system specifications, accuracy, uncertainty, and observer variability to V&V principles.

Main Methods:

• Conceptual discussion of analysis principles.
• Definition of key terms: Verification, Evaluation, Validation, system specifications, measurement accuracy, uncertainty, observer variability.
• Illustration of concepts with examples of AR/VR systems in medical imaging and interventions.

Main Results:

• Introduction of a structured approach to analyzing AR/VR systems for medical use.
• Clear definitions and relationships established between V&V concepts and system performance metrics.
• Demonstration of the applicability of these principles through practical examples.

Conclusions:

• A systematic analysis framework is essential for the successful implementation of AR/VR in medicine.
• Understanding and applying V&V principles, alongside considerations of accuracy and variability, are critical.
• This work provides a foundation for rigorous evaluation of AR/VR systems in healthcare settings.