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周围神经内部束组的三维重建

Three-dimensional Reconstruction of Peripheral Nerve Internal Fascicular Groups.

作者信息

Zhong Yingchun, Wang Liping, Dong Jianghui, Zhang Yi, Luo Peng, Qi Jian, Liu Xiaolin, Xian Cory J

机构信息

School of Automation, Guangdong University of Technology, Guangzhou 510006, China.

Sansom Institute for Health Research and School of Pharmacy and Medical Sciences, University of South Australia, Adelaide, SA 5001, Australia.

出版信息

Sci Rep. 2015 Nov 24;5:17168. doi: 10.1038/srep17168.

Abstract

Peripheral nerves are important pathways for receiving afferent sensory impulses and sending out efferent motor instructions, as carried out by sensory nerve fibers and motor nerve fibers. It has remained a great challenge to functionally reconnect nerve internal fiber bundles (or fascicles) in nerve repair. One possible solution may be to establish a 3D nerve fascicle visualization system. This study described the key technology of 3D peripheral nerve fascicle reconstruction. Firstly, fixed nerve segments were embedded with position lines, cryostat-sectioned continuously, stained and imaged histologically. Position line cross-sections were identified using a trained support vector machine method, and the coordinates of their central pixels were obtained. Then, nerve section images were registered using the bilinear method, and edges of fascicles were extracted using an improved gradient vector flow snake method. Subsequently, fascicle types were identified automatically using the multi-directional gradient and second-order gradient method. Finally, a 3D virtual model of internal fascicles was obtained after section images were processed. This technique was successfully applied for 3D reconstruction for the median nerve of the hand-wrist and cubital fossa regions and the gastrocnemius nerve. This nerve internal fascicle 3D reconstruction technology would be helpful for aiding peripheral nerve repair and virtual surgery.

摘要

周围神经是接收传入感觉冲动和发出传出运动指令的重要通路,由感觉神经纤维和运动神经纤维来执行。在神经修复中,在功能上重新连接神经内部纤维束(或束 fascicles)仍然是一个巨大的挑战。一种可能的解决方案可能是建立一个三维神经束可视化系统。本研究描述了三维周围神经束重建的关键技术。首先,将固定的神经段嵌入定位线,连续进行冰冻切片,进行组织学染色和成像。使用经过训练的支持向量机方法识别定位线横截面,并获得其中心像素的坐标。然后,使用双线性方法对神经切片图像进行配准,并使用改进的梯度向量流蛇形方法提取束的边缘。随后,使用多方向梯度和二阶梯度方法自动识别束的类型。最后,在对切片图像进行处理后,获得内部束的三维虚拟模型。该技术已成功应用于手腕和肘窝区域正中神经以及腓肠神经的三维重建。这种神经内部束三维重建技术将有助于辅助周围神经修复和虚拟手术。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a792/4657002/0ab04cdb4728/srep17168-f1.jpg

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