ORC ID , Yi Zhang8">
  • Users Online: 1457
  • Home
  • Print this page
  • Email this page
Year : 2018  |  Volume : 13  |  Issue : 8  |  Page : 1465-1470

Three-dimensional visualization of the functional fascicular groups of a long-segment peripheral nerve

1 Department of Orthopedics and Microsurgery, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong Province, China
2 Department of Plastic Surgery, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, Guangxi Zhuang Autonomous Region, China
3 Automation College, Guangdong University of Technology, Guangzhou, Guangdong Province, China
4 Scientific Research Department, Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong Province, China
5 Department of Orthopedics, Shenzhen Nanshan People's Hospital, Shenzhen, Guangdong Province, China
6 Zhongshan University Medical Equipment Co., Ltd., Guangzhou, Guangdong Province, China
7 Department of Joint and Orthopedics, Orthopedic Center, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong Province, China
8 Department of Plastic Surgery, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong Province, China

Correspondence Address:
Yi Zhang
Department of Plastic Surgery, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong Province
Login to access the Email id

Source of Support: This study was supported by the National Natural Science Foundation of China, No. 30571913; a grant from the Science and Technology Project of Guangdong Province of China, No. 2013B010404019; the Natural Science Foundation of Guangdong Province of China, No. 9151008901000006; the Medical Scientific Research Foundation of Guangdong Province of China, No. A2009173, Conflict of Interest: None

DOI: 10.4103/1673-5374.235307

Rights and Permissions

The three-dimensional (3D) visualization of the functional bundles in the peripheral nerve provides direct and detailed intraneural spatial information. It is useful for selecting suitable surgical methods to repair nerve defects and in optimizing the construction of tissue-engineered nerve grafts. However, there remain major technical hurdles in obtaining, registering and interpreting 2D images, as well as in establishing 3D models. Moreover, the 3D models are plagued by poor accuracy and lack of detail and cannot completely reflect the stereoscopic microstructure inside the nerve. To explore and help resolve these key technical problems of 3D reconstruction, in the present study, we designed a novel method based on re-imaging techniques and computer image layer processing technology. A 20-cm ulnar nerve segment from the upper arm of a fresh adult cadaver was used for acetylcholinesterase (AChE) staining. Then, 2D panoramic images were obtained before and after AChE staining under the stereomicroscope. Using layer processing techniques in Photoshop, a space transformation method was used to fulfill automatic registration. The contours were outlined, and the 3D rendering of functional fascicular groups in the long-segment ulnar nerve was performed with Amira 4.1 software. The re-imaging technique based on layer processing in Photoshop produced an image that was detailed and accurate. The merging of images was accurate, and the whole procedure was simple and fast. The least square support vector machine was accurate, with an error rate of only 8.25%. The 3D reconstruction directly revealed changes in the fusion of different nerve functional fascicular groups. In conclusion. The technique is fast with satisfactory visual reconstruction.

Print this article     Email this article
 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)

 Article Access Statistics
    PDF Downloaded190    
    Comments [Add]    
    Cited by others 1    

Recommend this journal