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Automatic Surgery in Transcatheter Aortic Valve Replacement Using Augmented Reality

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Informatics in Radiology: developing a touchless user interface for intraoperative image control during

Justin H Tan¹, Cherng Chao, Mazen Zawaideh

¹Department of Radiology, University of California San Diego Medical Center, 200 W Arbor Dr, San Diego, CA 92103-8756, USA. jut004@ucsd.edu

Radiographics : a Review Publication of the Radiological Society of North America, Inc

|December 25, 2012

Summary

Interventional radiologists can now control patient images hands-free using a novel motion-tracking device. This innovation enhances sterility and efficiency in the interventional radiology suite.

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Area of Science:

Medical Imaging
Interventional Radiology
Human-Computer Interaction

Background:

Reviewing patient images is crucial in interventional radiology but maintaining a sterile field while operating the console is challenging.
Current methods like scrubbing out or using sterile covers can be inefficient.
Direct, touch-free image control by the interventionalist could improve sterility, efficiency, and reduce radiation exposure.

Purpose of the Study:

To investigate the utility of a low-cost, touch-free motion-tracking device for manipulating medical images in interventional radiology.
To evaluate the potential of gesture-based control for enhancing image review during procedures.

Main Methods:

A touch-free motion-tracking device, originally a video game controller, was adapted for medical image manipulation.
Custom software translated hand gestures into commands for image review on a workstation.
29 radiologists performed standardized tasks during abdominal CT studies using the system.

Main Results:

The majority of radiologists (69%) found the touch-free system potentially useful for interventional radiology practice.
Participants did not foresee significant issues with maintaining a sterile field when using the device.
The system demonstrated potential for enhancing image-guided treatments while preserving sterility.

Conclusions:

This proof-of-concept study shows that motion-tracking technology can be effectively adapted for touch-free medical image control.
The developed system offers a promising solution for improving workflow and sterility in interventional radiology.
Gesture-based control represents a viable advancement for imaging-guided procedures.