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<p>The global demand for effective skin injury treatments has prompted the exploration of tissue engineering solutions. While three-dimensional (3D) bioprinting has shown promise, challenges persist with respect to achieving timely and compatible solutions to treat diverse skin injuries. In situ bioprinting has emerged as a key new technology, since it reduces risks during the implantation of printed scaffolds and demonstrates superior therapeutic effects. However, maintaining printing fidelity during in situ bioprinting remains a critical challenge, particularly with respect to model layering and path planning. This study proposes a novel optimization-based conformal path planning strategy for in situ bioprinting-based repair of complex skin injuries. This strategy employs constrained optimization to identify optimal waypoints on a point cloud-approximated curved surface, thereby ensuring a high degree of similarity between predesigned planar and surface-mapped 3D paths. Furthermore, this method is applicable for skin wound treatments, since it generates 3D-equidistant zigzag curves along surface tangents and enables multi-layer conformal path planning to facilitate the treatment of volumetric injuries. Furthermore, the proposed algorithm was found to be a feasible and effective treatment in a murine back injury model as well as in other complex models, thereby showcasing its potential to guide in situ bioprinting, enhance bioprinting fidelity, and facilitate improvement of clinical outcomes.</p>

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Optimization-based conformal path planning for in situ bioprinting during complex skin defect repair

  • 期刊论文

  • 发表日期：

    2025年1月21日

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  • Wenxiang Zhao,
  • Chuxiong Hu,
  • Yunan Wang,
  • Shize Lin,
  • Ze Wang,
  • Tao Xu

摘要

The global demand for effective skin injury treatments has prompted the exploration of tissue engineering solutions. While three-dimensional (3D) bioprinting has shown promise, challenges persist with respect to achieving timely and compatible solutions to treat diverse skin injuries. In situ bioprinting has emerged as a key new technology, since it reduces risks during the implantation of printed scaffolds and demonstrates superior therapeutic effects. However, maintaining printing fidelity during in situ bioprinting remains a critical challenge, particularly with respect to model layering and path planning. This study proposes a novel optimization-based conformal path planning strategy for in situ bioprinting-based repair of complex skin injuries. This strategy employs constrained optimization to identify optimal waypoints on a point cloud-approximated curved surface, thereby ensuring a high degree of similarity between predesigned planar and surface-mapped 3D paths. Furthermore, this method is applicable for skin wound treatments, since it generates 3D-equidistant zigzag curves along surface tangents and enables multi-layer conformal path planning to facilitate the treatment of volumetric injuries. Furthermore, the proposed algorithm was found to be a feasible and effective treatment in a murine back injury model as well as in other complex models, thereby showcasing its potential to guide in situ bioprinting, enhance bioprinting fidelity, and facilitate improvement of clinical outcomes.