The First Affiliated Hospital of Sun Yat-Sen University

School of Data and Computer Science of Sun Yat-Sen University

National Supercomputer Centre in Guangzhou of Sun Yat-Sen University

School of Data and Computer Sciences of Sun Yat-Sen University

Tao Lin

Yao Lu

Qingtang Zhu

Xiaolin Liu

Jian Qi

Liwei Yan

Xi Zhang

Tao Wang

Yutong Lu

Yunfei Du

Zhi Yao

Shouliang Liu

Shuang Zhu

Yongze Guo

Sha Yu

The present invention provides a method for establishing a biomimetic nerve graft model for nerve fascicles of the extremities, which comprises the steps of: establishing a database of fascicles structures from nerve fascicles of the extremities with an imaging technique; obtaining information of a defective nerve trunk to be repaired of the extremities; and matching and fitting the information of the defective nerve trunk to be repaired of the extremities with/to the data in the database of fascicles structures, to establish a biomimetic nerve graft model that conforms to the characteristics of fascicles microstructure for nerve fascicles of the defective nerve trunk. In the present invention, the imaging technique and clinical data are fully utilized, to establish a biomimetic nerve graft model conforming to the characteristics of fascicles microstructure for varying types of detects, thus providing more accurate model information for repair of nerve trunk defects in the extremities.

Method for establishing biomimetic nerve graft model for nerve fascicles of extremities

The present invention relates to fields of clinical application of nerve defect repair and the medical three-dimensional (3D) printing technology, and provides an integrated visualization method for three-dimensional (3D) reconstruction of internal structure of human peripheral nerves. The method comprises the following steps: obtaining human peripheral nerves, preparing nerve specimens ex vivo by staining with an iodine preparation in combination with a freeze-drying method; scanning the pretreated peripheral nerves using Micro CT to acquire lossless two-dimensional images, and performing binarization processing to the two-dimensional images, then conducting image segmentation based on textural features to acquire images of nerve fascicles; finally, reconstructing the segmented images into a visualization model by using a supercomputer.

Integrated method for three-dimensional visualization reconstruction of the fascicular structure inside human peripheral nerves

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Guangdong, China

Tao Lin