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人体尺神经显微结构三维可视化研究
引用本文:刘艇,胡平,张键,张猛,李华,陈增淦,陈统一,陈中伟. 人体尺神经显微结构三维可视化研究[J]. 中国修复重建外科杂志, 2008, 22(9): 1026-1030
作者姓名:刘艇  胡平  张键  张猛  李华  陈增淦  陈统一  陈中伟
作者单位:1. 复旦大学附属中山医院骨科,上海,200032
2. 中国科学院计算技术研究所国家智能计算机研究开发中心
摘    要:目的 将人体尺神经行连续冰冻组织切片,经染色、扫描后获取尺神经连续断面二维图像信息,通过3D Nerve三维可视化软件系统勾画出完整的尺神经干三维解剖图谱.方法 取自愿捐献死亡3 h内38岁男性左侧尺神经全长(自臂丛内侧束至腕横韧带)标本1例,长约50cm,经定位、包埋、连续冰冻组织切片、乙酰胆碱脂酶组织化学染色,获取尺神经连续二维图像信息,应用3D Nerve三维可视化软件系统对尺神经内部结构进行三维重建.结果 尺神经在不同断面神经束的数量、位置及内部神经纤维的性质均有变化.应用尺神经3D Nerve三维可视化软件系统可在任意断面、任意角度观察尺神经内部的显微结构,追踪各神经束的立体行径,动态地展示尺神经内部神经束的复杂结构.结论 尺神经的3D Nerve三维可视化软件系统可真实地再现尺神经干全长及其内部各神经束的三维立体行径,为医学教学与临床修复尺神经损伤提供精确的神经任意断面三维立体解剖图像,有助于提高神经修复的疗效.

关 键 词:尺神经  连续冰冻组织切片  乙酰胆碱脂酶染色  三维可视化

3D VISUALIZATION RESEARCH ON MICROSTRUCTURE OF HUMAN ULNAR NERVE
LIU Ting,HU Ping,ZHANG Jian,ZHANG Meng,LI Hua,CHEN Zenggan,CHEN Tongyi,CHEN Zhongwei. 3D VISUALIZATION RESEARCH ON MICROSTRUCTURE OF HUMAN ULNAR NERVE[J]. Chinese journal of reparative and reconstructive surgery, 2008, 22(9): 1026-1030
Authors:LIU Ting  HU Ping  ZHANG Jian  ZHANG Meng  LI Hua  CHEN Zenggan  CHEN Tongyi  CHEN Zhongwei
Affiliation:Department of Orthopedics, Zhongshan Hospital, Fudan University, Shanghai, 200032, P.R. China.
Abstract:OBJECTIVE: To explore the application of 3D nerve visualization system in processing 2D image information of human ulnar nerve acquired by series freezing tissue section, staining and scanning. And to draw the 3D anatomical atlas of human ulnar nerve through 3D Nerve visualization software system. METHODS: One left ulnar nerve (from medial fasciculus of brachial plexus to transverse carpal ligament, about 50 cm) was taken from a fresh donated cadaver. After marked with human hair and embedded in OCT, series freezing tissue sections were made and stained with acetylcholinesterase histochemically. Series 2D image information was obtained through high resolution scanner. Then the microstructure of ulnar nerve was reconstructed with 3D Nerve visualization software system. RESULTS: Different cross sections of ulnar nerve have different numbers, positions and characters of the internal nerve fibers. The microstructure of ulnar nerve could be observed in magnifying visual field at any cross section after reconstructed in 3D Nerve visualization soft ware system, which made it possible to track stereo courser of fascicles. CONCLUSION: Reconstructed 3D Nerve visualization software system shows the whole microstructure of ulnar nerve and the 3D stereo-structure of its internal fascicles, thus provides exact topography atlas for medical teaching and facilitates precise repair of ulnar nerve injury to improve theraputic effect.
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