Automated Digital Image Optimisation in Intraoperative 2D and 3D Imaging Using a Mobile C-Arm With Flat-Panel...

Area of Science:

• Medical Imaging
• Surgical Technology

Background:

• Intraoperative imaging requires significant effort for acquisition and assessment.
• Current 2D and 3D imaging techniques can be time-consuming and complex.

Purpose of the Study:

• To evaluate automated assistance tools for intraoperative 2D and 3D imaging.
• To assess the impact of these tools on acquisition effort and image assessment quality.

Main Methods:

• Evaluation of ScrewScout function for pedicle screw assessment.
• Assessment of a metal artifact reduction (MAR) algorithm.
• Analysis of a tool for simplified image contrast and brightness settings.

Main Results:

• Automated assistance reduced imaging time from 83s to 22s (p=0.003).
• MAR improved image quality, with benefits decreasing with experience.
• Image acquisition parameter setting time decreased from 140s to 61s (p=0.05).

Conclusions:

• Automated assistance tools offer practical support in the intraoperative setting.
• These tools can enhance efficiency and potentially improve image quality during surgery.