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Virtual and Augmented Reality in Interventional Radiology: Current Applications, Challenges, and Future Directions
Ahmed Elsakka1, Brian J Park2, Brett Marinelli3
1Neuroradiology Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY.
Techniques in Vascular and Interventional Radiology
|December 9, 2023
Summary
Virtual reality (VR) and augmented reality (AR) can transform interventional radiology (IR) by enhancing image visualization and navigation. Challenges remain, but advancements in AI and technology promise improved training, planning, and patient outcomes.
Area of Science:
- Medical Imaging
- Surgical Technology
- Radiology
Background:
- Virtual reality (VR) and augmented reality (AR) are emerging technologies with significant potential in Interventional Radiology (IR).
- These technologies offer enhanced visualization and navigation of medical images, impacting patient care, procedural planning, and medical education.
- Despite their promise, widespread adoption is hindered by challenges like navigation system limitations, cost, clinical acceptance, and equipment constraints.
Purpose of the Study:
- To explore the current state and future potential of VR and AR technologies in Interventional Radiology.
- To identify key challenges and recent advancements driving the integration of VR/AR in IR.
- To outline the prospective applications and impact of VR/AR on IR practices and patient outcomes.
Main Methods:
- Review of current literature and technological advancements in VR/AR for medical applications.
- Analysis of challenges impacting the clinical integration of VR/AR in IR.
- Exploration of emerging technologies like shape-sensing needles and deep learning for medical image segmentation.
Main Results:
- VR/AR offer improved visualization and navigation for patient care, planning, and training in IR.
- Key challenges include navigation system limitations, cost, clinical acceptance, and technical constraints.
- Advancements in shape-sensing needles, organ deformation modeling, and deep learning for image segmentation show promise.
- Future applications include simulation-based training, preprocedural planning, intraprocedural guidance, and patient engagement.
Conclusions:
- VR and AR technologies are poised to revolutionize Interventional Radiology.
- Overcoming current challenges through ongoing research and technological development is crucial for widespread adoption.
- The integration of VR/AR is expected to enhance telemedicine, operational efficiency, and patient outcomes in IR.
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