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Mixed Reality Interfaces for Achieving Desired Views with Robotic X-ray Systems.
Benjamin D Killeen1, Jonas Winter1, Wenhao Gu1
1Laboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD, USA.
Summary
Controlling robotic X-ray C-arm systems is difficult. New mixed reality interfaces, using pointers or virtual sources, offer promising ways to command these systems more effectively, potentially reducing unnecessary imaging time.
Area of Science:
- Medical Imaging
- Robotics
- Human-Computer Interaction
Background:
- Robotic X-ray C-arm imaging systems offer precise patient positioning.
- Current joystick-based control is inefficient, especially with complex systems allowing independent source and detector movement.
Purpose of the Study:
- To explore novel, effective interfaces for commanding robotic X-ray systems.
- To address the challenge of translating desired views into precise system poses.
Main Methods:
- Investigated three interaction paradigms: pointer-based view specification, mixed reality with digitally reconstructed radiographs, and mixed reality with a virtual X-ray source.
- Conducted initial human-in-the-loop evaluation with a trauma surgeon.
Main Results:
- Mixed reality interfaces show promise for controlling robotic X-ray systems.
- These interfaces may significantly decrease the number of images acquired during "fluoro hunting".
Conclusions:
- Mixed reality offers a more intuitive and efficient control method for advanced robotic X-ray systems.
- Improved control can lead to reduced fluoroscopy time and potentially better patient outcomes.
