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International Journal of Computer Assisted Radiology and Surgery

Erschienen in:

12.05.2023 | Original Article

Robot-assisted ultrasound reconstruction for spine surgery: from bench-top to pre-clinical study

verfasst von: Ruixuan Li, Ayoob Davoodi, Yuyu Cai, Kenan Niu, Gianni Borghesan, Nicola Cavalcanti, Aidana Massalimova, Fabio Carrillo, Christoph J. Laux, Mazda Farshad, Philipp Fürnstahl, Emmanuel Vander Poorten

Erschienen in: International Journal of Computer Assisted Radiology and Surgery | Ausgabe 9/2023

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Abstract

Purpose

Robot-assisted ultrasound (rUS) systems have already been used to provide non-radiative three-dimensional (3D) reconstructions that 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 verifying performance in various testing scenarios. Therefore, this study aims at providing an assessment of a rUS system, with technical details from experiments starting at the bench-top to the pre-clinical study.

Methods

A semi-automatic control strategy was proposed to ensure continuous and smooth robotic scanning. Next, a U-Net-based segmentation approach was developed to automatically process the anatomic features and derive a high-quality 3D US reconstruction. Experiments were conducted on synthetic phantoms and human cadavers to validate the proposed approach.

Results

Average deviations of scanning force were found to be 2.84±0.45 N on synthetic phantoms and to be 5.64±1.10 N on human cadavers. The anatomic features could be reliably reconstructed at mean accuracy of 1.28±0.87 mm for the synthetic phantoms and of 1.74±0.89 mm for the human cadavers.

Conclusion

The results and experiments demonstrate the feasibility of the proposed system in a pre-clinical setting. This work is complementary to previous work, encouraging further exploration of the potential of this technology in in vivo studies.

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Titel: Robot-assisted ultrasound reconstruction for spine surgery: from bench-top to pre-clinical study
verfasst von: Ruixuan Li
Ayoob Davoodi
Yuyu Cai
Kenan Niu
Gianni Borghesan
Nicola Cavalcanti
Aidana Massalimova
Fabio Carrillo
Christoph J. Laux
Mazda Farshad
Philipp Fürnstahl
Emmanuel Vander Poorten
Publikationsdatum: 12.05.2023
Verlag: Springer International Publishing
Erschienen in: International Journal of Computer Assisted Radiology and Surgery / Ausgabe 9/2023
Print ISSN: 1861-6410
Elektronische ISSN: 1861-6429
DOI: https://doi.org/10.1007/s11548-023-02932-z

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Abstract

Purpose

Methods

Results

Conclusion

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