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Published in:
2021 | OriginalPaper | Chapter
Ultrasound-based Navigation of Scaphoid Fracture Surgery
Authors : Peter Broessner, Benjamin Hohlmann, Klaus Radermacher
Published in: Bildverarbeitung für die Medizin 2021
Publisher: Springer Fachmedien Wiesbaden
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For minimally-invasive surgery of the scaphoid, navigation based on ultrasound images instead of fluoroscopy reduces costs and prevents exposure to ionizing radiation. We present a machine learning based two-stage approach that tackles the tasks of image segmentation and point cloud registration individually. For this, Deeplabv3+ as well as the PRNet architecture were trained on two newly generated datasets. An evaluation on in-vitro data results in an average surface distance error of 1.1mm and a mean rotational deviation of 6:2° with a processing time of 9 seconds. We conclude that near real-time navigation is feasible.