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1 March 2019 Development of a real-time scattered radiation display for staff dose reduction during fluoroscopic interventional procedures
J. Troville, J. Kilian-Meneghin, C. Guo, S. Rudin, D. R. Bednarek
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Proceedings Volume 10948, Medical Imaging 2019: Physics of Medical Imaging; 109482H (2019) https://doi.org/10.1117/12.2512821
Event: SPIE Medical Imaging, 2019, San Diego, California, United States
Abstract
We have been working on the development of a Scatter Display System (SDS) for monitoring and displaying scatterrelated dose to staff members during fluoroscopic interventional procedures. We have considered various methods for such a display using augmented reality (AR) and computer-generated virtual reality (VR). The current work focuses on development of the VR SDS display, which shows the color-coded scattered dose distribution in a horizontal plane at a selected height above the floor in a top-down view of the interventional suite. Reported is the first development of the methodology for real-time functionality of this software via integration of controller area network (CAN) bus digital signals from the Canon C-Arm Biplane System. Importing the CAN bus information allows immediate selection of the appropriate pre-calculated scatter dose distribution consistent with the x-ray beam orientation and characteristics as well as selection of the proper gantry and table graphic for the display. The Python CAN interface module was used for streamlining the integration of the CAN bus interface. Development of real-time functionality for the SDS allows it to provide feedback to staff during clinical procedures for informed dose management; the SDS can work alongside the patient skin dose tracking system (DTS) for complete clinical monitoring of staff and patient dose.
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J. Troville, J. Kilian-Meneghin, C. Guo, S. Rudin, and D. R. Bednarek "Development of a real-time scattered radiation display for staff dose reduction during fluoroscopic interventional procedures", Proc. SPIE 10948, Medical Imaging 2019: Physics of Medical Imaging, 109482H (1 March 2019); https://doi.org/10.1117/12.2512821
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KEYWORDS
MATLAB
Virtual reality
Visualization
Cameras
Detection and tracking algorithms
Calibration
Human-machine interfaces
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