Proof-of-concept of a robotic-driven photogrammetric scanner for intra-operative knee cartilage repair.

Autor: Bertelsen Á; Digital Health and Biomedical Applications Area, Vicomtech Foundation Basque Research and Technology Alliance (BRTA) Donostia-San Sebastián Spain.; eHealth Group Bioengineering area Biogipuzkoa Health Research Institute Donostia-San Sebastián Spain., Iribar-Zabala A; Digital Health and Biomedical Applications Area, Vicomtech Foundation Basque Research and Technology Alliance (BRTA) Donostia-San Sebastián Spain., Otegi-Alvaro E; Digital Health and Biomedical Applications Area, Vicomtech Foundation Basque Research and Technology Alliance (BRTA) Donostia-San Sebastián Spain., Benito R; Digital Health and Biomedical Applications Area, Vicomtech Foundation Basque Research and Technology Alliance (BRTA) Donostia-San Sebastián Spain., López-Linares K; Digital Health and Biomedical Applications Area, Vicomtech Foundation Basque Research and Technology Alliance (BRTA) Donostia-San Sebastián Spain.; eHealth Group Bioengineering area Biogipuzkoa Health Research Institute Donostia-San Sebastián Spain., Macía I; Digital Health and Biomedical Applications Area, Vicomtech Foundation Basque Research and Technology Alliance (BRTA) Donostia-San Sebastián Spain.; eHealth Group Bioengineering area Biogipuzkoa Health Research Institute Donostia-San Sebastián Spain.
Jazyk: angličtina
Zdroj: Healthcare technology letters [Healthc Technol Lett] 2023 Dec 05; Vol. 11 (2-3), pp. 59-66. Date of Electronic Publication: 2023 Dec 05 (Print Publication: 2024).
DOI: 10.1049/htl2.12054
Abstrakt: This work presents a proof-of-concept of a robotic-driven intra-operative scanner designed for knee cartilage lesion repair, part of a system for direct in vivo bioprinting. The proposed system is based on a photogrammetric pipeline, which reconstructs the cartilage and lesion surfaces from sets of photographs acquired by a robotic-handled endoscope, and produces 3D grafts for further printing path planning. A validation on a synthetic phantom is presented, showing that, despite the cartilage smooth and featureless surface, the current prototype can accurately reconstruct osteochondral lesions and their surroundings with mean error values of 0.199 ± 0.096 mm but with noticeable concentration on areas with poor lighting or low photographic coverage. The system can also accurately generate grafts for bioprinting, although with a slight tendency to underestimate the actual lesion sizes, producing grafts with coverage errors of -12.2 ± 3.7, -7.9 ± 4.9, and -15.2 ± 3.4% for the medio-lateral, antero-posterior, and craneo-caudal directions, respectively. Improvements in lighting and acquisition for enhancing reconstruction accuracy are planned as future work, as well as integration into a complete bioprinting pipeline and validation with ex vivo phantoms.
Competing Interests: The authors declare no conflict of interest.
(© 2023 Vicomtech Foundation. Healthcare Technology Letters published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.)
Databáze: MEDLINE