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Session: Multi-Disciplinary General ePoster Viewing [Return to Session]

Mixed Reality Visualization of Radiation Dose in Interventional Radiology

J Kotoku1*, T Takata1, S Nakabayashi3, H Kondo3, M Yamamoto3, S Furui3, K Shiraishi3, T Kobayashi1, H Oba3, (1) Teikyo University, Itabashi-ku, Tokyo, JP, (2) Kameda Hospital, ,Chiba, JP, (3) Department of Radiology, Teikyo University School of Medicine, Tokyo, ,JP,

Presentations

PO-GePV-M-56 (Sunday, 7/25/2021)   [Eastern Time (GMT-4)]

Purpose: For interventional radiology, dose management has persisted as a crucially important issue to reduce radiation risks to patients and medical staff. This study examined the concept and feasibility of a real-time dose visualization system using mixed reality technology for dose management in interventional radiology.

Methods: An earlier reported Monte-Carlo-based real-time dose estimation system for interventional radiology was adopted for our system. We also developed a system of acquiring fluoroscopic conditions to input them into the Monte Carlo system. Then, we combined the Monte Carlo system with the wearable device for three-dimensional holographic visualization. The estimated doses were transferred sequentially to the device. The patient's dose distribution was then projected on the patient body. The visualization system also has a mechanism to detect one's position in a room to estimate the user's exposure dose based on the positional information. The dose was visualized continuously in front of the user.

Results: An end-to-end system test was performed using a human phantom. The acquisition system accurately recognized conditions that were necessary for real-time dose estimation. The dose hologram represented the patient dose. The user dose was changed correctly depending on conditions and positions.

Conclusion: Mixed reality dose visualization is expected to improve exposure dose management for patients and physicians by exhibiting invisible radiation exposure in real space.

Funding Support, Disclosures, and Conflict of Interest: This work was partly supported by a Japan Society for the Promotion of Science (JSPS) KAKENHI Grant (No. 18K07646).

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