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Improving positioning of 3D-printed surgical guides using image-processing techniques

Abstract:

Previous studies had tested the use of surgical guides for osteosarcoma resection using anatomical landmarks. These guide-assisted intraoperative techniques have shown improvements in accuracy and precision of the resection process. Due to inevitable errors introduced by human factor, there is still a slight probability that surgeons position the guide with an error beyond the limits established during preoperative planning, yielding in patient risks. The present paper tests imageprocessing techniques to enhance the accuracy of surgical guides positioning during the resection. Experiments were conducted on cadaverous femora and the location of high-contrast marks on the surgical guides were extracted from still photos by boundary tracing. Finally, the mounting angular and translational error was quantified and accounted, and compared to CT-scanning images.