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

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

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

4 Citations (Scopus)
36 Downloads (Pure)

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.

Original languageEnglish
Pages (from-to)1613-1623
Number of pages11
JournalInternational journal of computer assisted radiology and surgery
Volume18
Issue number9
Early online date12 May 2023
DOIs
Publication statusPublished - Sept 2023

Keywords

  • 3D reconstruction
  • Robot-assisted system
  • Spine surgery
  • Ultrasound guidance
  • 2023 OA procedure

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