2023
DOI: 10.36227/techrxiv.21511521.v2
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Robot-assisted Ultrasound Reconstruction for Spine Surgery: from Bench-top to Pre-clinical Study

Abstract: <p>Purpose: Robot-assisted ultrasound (US) systems could be used to provide a non-radiative three-dimensional (3D) reconstruction that can form the basis for guiding spine surgical procedures. Despite promising studies on this technology, there are few studies that offer insight into the robustness and generality of the approach by e.g. verifying performance in various testing scenarios. Therefore, this study provides an assessment of the robot-assisted US system, with technical details from experiments … Show more

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Cited by 2 publications
(6 citation statements)
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“…With robotic scanning, the system performance has better reliability and reputability 28 . The proposed robotic system also provides a stable force control around 5 N, keeping regular contact with the skin surface compared to manual scanning 15 . The robot‐assisted system achieves smooth scanning with constant speed over the complex back contour.…”
Section: Discussionmentioning
confidence: 99%
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“…With robotic scanning, the system performance has better reliability and reputability 28 . The proposed robotic system also provides a stable force control around 5 N, keeping regular contact with the skin surface compared to manual scanning 15 . The robot‐assisted system achieves smooth scanning with constant speed over the complex back contour.…”
Section: Discussionmentioning
confidence: 99%
“…The same dataset is also fed to the U‐Net to provide a baseline for comparison. The architecture is described in our previous work 15 . After segmentation, the images are processed with thresholding and a morphological operator.…”
Section: Methodsmentioning
confidence: 99%
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“…It entails a number of manual procedures and is time intensive, even for seasoned specialists [9,10]. For example, image segmentation is both timeconsuming and user-dependent [11,12] because it requires to locate and segment vertebrae ahead of time [14]. Generating 3D detailed geometry of the spine from a 2D set of X-ray images is also a challenging task.…”
Section: Introductionmentioning
confidence: 99%