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Multi-tissue layering and path planning of in situ bioprinting for complex skin and soft tissue defects
Rapid Prototyping Journal ( IF 3.9 ) Pub Date : 2021-01-04 , DOI: 10.1108/rpj-08-2020-0201
Huichao Wang , Qin Lian , Dichen Li , Chenghong Li , Tingze Zhao , Jin Liang

Purpose

Reconstructing multi-layer tissue structure using cell printing to repairing complex tissue defect is a challenging task, especially using in situ bioprinting. This study aims to propose a method of in situ bioprinting multi-tissue layering and path planning for complex skin and soft tissue defects.

Design/methodology/approach

The scanned three-dimensional (3D) point cloud of the skin and soft tissue defect is taken as the input data, the depth value of the defect is then calculated using a two-step grid division method, and the tissue layer is judged according to the depth value. Then, the surface layering and path planning in the normal direction are performed for different tissue layers to achieve precise tissue layering filling of complex skin soft tissue defects.

Findings

The two-step grid method can accurately calculate the depth of skin and soft tissue defects and judge the tissue layer accordingly. In the in situ bioprinting experiment of the defect model, the defect can be completely closed. The defect can be reconstructed in situ, and the reconstructed structure is basically the same as the original skin tissue structure, proving the feasibility of the proposed method.

Originality/value

This study proposes an in situ bioprinting multi-tissue layering and path planning method for complex skin and soft tissue defects, which can directly convert the scanned 3D point cloud into a multi-tissue in situ bioprinting path. The printed result has a similar structure to that of the original skin tissue, which can make cells or growth factors act on the corresponding tissue layer targets.



中文翻译:

复杂皮肤和软组织缺损的多组织分层和原位生物打印路径规划

目的

使用细胞印刷来修复复杂的组织缺陷来重建多层组织结构是一项艰巨的任务,尤其是使用原位生物印刷。这项研究的目的是提出一种针对复杂皮肤和软组织缺损进行原位生物打印的多层组织分层和路径规划的方法。

设计/方法/方法

将扫描的皮肤和软组织缺损的三维(3D)点云作为输入数据,然后使用两步网格划分方法计算出缺损的深度值,并根据深度值。然后,对不同的组织层进行法向的表面分层和路径规划,以实现复杂皮肤软组织缺损的精确组织分层填充。

发现

两步网格法可以准确计算皮肤和软组织缺损的深度,并据此判断组织层。在缺陷模型的原位生物打印实验中,可以完全封闭缺陷。该缺陷可以原位重建,重建的结构与原始皮肤组织结构基本相同,证明了该方法的可行性。

创意/价值

这项研究提出了一种针对复杂皮肤和软组织缺损的原位生物打印多组织分层和路径规划方法,该方法可以将扫描的3D点云直接转换为多组织原位生物打印路径。印刷结果具有与原始皮肤组织相似的结构,可以使细胞或生长因子作用于相应的组织层靶标上。

更新日期:2021-03-03
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