Automated Digital Image Optimisation in Intraoperative 2D and 3D Imaging Using a Mobile C‐Arm With Flat‐Panel Detector
J. Groh, M. Perl, L. Bräuer, H. Stadthalter
TL;DR
This paper evaluates automated tools for optimizing 2D and 3D intraoperative imaging, showing they reduce time and improve image quality.
Contribution
The study introduces and evaluates two new automated tools for image optimization in intraoperative settings.
Findings
Automated assistance reduced image acquisition time from 83s to 22s.
Metal artefact reduction improved image quality, though less so for experienced users.
Image parameter setup time was significantly reduced using the assistance tool.
Abstract
Assistance tools for intraoperative 2D and 3D imaging to decrease acquisition effort and to improve assessment of 3D image data were evaluated. Two automated optimisation procedures were evaluated in a cadaver (Cios Spin, Siemens, Germany): The ScrewScout function for assisted pedicle screw assessment. Then, an algorithm for metal artefact reduction (MAR). Additionally, a tool for simplified setting of image contrast and brightness was evaluated regarding the result and elapsed time. The time required without automated assistance was 83s [70–105]. With the computer assistance, this time was significantly lower at 22s [15–32] (p = 0.003). MAR resulted in an improvement in image impression. This improvement became smaller with increasing clinical experience. The time needed for setting of image acquisition parameters was significantly (p = 0.05) lowered from 140s [24–389] to 61s…
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Taxonomy
TopicsSurgical Simulation and Training · Advanced X-ray and CT Imaging · Anatomy and Medical Technology