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

Abstract

Abstract 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.

Keywords

• biological tissues
• biomedical imaging
• surgery