Literature DB >> 22391063

Creation of a female and male segmentation dataset based on Chinese Visible Human (CVH).

Yi Wu1, Li-Wen Tan, Ying Li, Bin-Ji Fang, Bing Xie, Tong-Ning Wu, Qi-Yu Li, Ming-Guo Qiu, Guang-Jiu Liu, Kai Li, Hao-Tong Xu, Na Luo, Shao-Xiang Zhang.   

Abstract

OBJECTIVE: Segmentation is a necessary step when creating realistic three-dimensional (3D) models. In order to build 3D models of whole body structures and have a wider lateral application, the thin sectional anatomical images of the Chinese Visible Human (CVH) dataset should be segmented. The more detailed structures are segmented to provide greater potential for wider application of the segmented images.
MATERIALS AND METHODS: All the images based on the CVH male and female dataset were segmented semi-automatically using PHOTOSHOP software. This research lasted about 7 years. RESULT: In this study, 869 structures of CVH male and 860 structures of CVH female were semi-automatically segmented, and the formats for the segmented color-filled image data were PSD and PNG. In these segmented structures, nearly all skeletal muscles included muscle belly and tendon, and hollow organs included their organ walls and their lumen. Most nerve trunks, small arteries, lymph nodes, and lymph ducts were also segmented. Many surface-rendering and volume-rendering organ models were created using these segmented images.
CONCLUSION: The CVH male and female images represent the normal Asian population. After segmentation, the images can be reconstructed directly in 3D and greatly facilitate the biological modeling of physical and physiological information, a great help in improving medical and biological science in China.
Copyright © 2012 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2012        PMID: 22391063     DOI: 10.1016/j.compmedimag.2012.01.003

Source DB:  PubMed          Journal:  Comput Med Imaging Graph        ISSN: 0895-6111            Impact factor:   4.790


  5 in total

1.  Creation of a Virtual Anatomy System based on Chinese Visible Human data sets.

Authors:  Binji Fang; Yi Wu; Chun Chu; Ying Li; Na Luo; Kaijun Liu; Liwen Tan; Shaoxiang Zhang
Journal:  Surg Radiol Anat       Date:  2016-09-23       Impact factor: 1.246

2.  Segmenting Brain Tissues from Chinese Visible Human Dataset by Deep-Learned Features with Stacked Autoencoder.

Authors:  Guangjun Zhao; Xuchu Wang; Yanmin Niu; Liwen Tan; Shao-Xiang Zhang
Journal:  Biomed Res Int       Date:  2016-01-26       Impact factor: 3.411

3.  Visualization of Penile Suspensory Ligamentous System Based on Visible Human Data Sets.

Authors:  Xianzhuo Chen; Yi Wu; Ling Tao; Yan Yan; Jun Pang; Shaoxiang Zhang; Shirong Li
Journal:  Med Sci Monit       Date:  2017-05-22

4.  Creation and application of war trauma treatment simulation software for first aid on the battlefield based on undeformed high-resolution sectional anatomical image (Chinese Visible Human dataset).

Authors:  Xin Hu; Li Liu; Zhou Xu; Jingyi Yang; Hongfeng Guo; Ling Zhu; Wouter H Lamers; Yi Wu
Journal:  BMC Med Educ       Date:  2022-06-26       Impact factor: 3.263

5.  Three-dimensional reconstruction of thoracic structures: based on Chinese Visible Human.

Authors:  Yi Wu; Na Luo; Liwen Tan; Binji Fang; Ying Li; Bing Xie; Kaijun Liu; Chun Chu; Min Li; Shaoxiang Zhang
Journal:  Comput Math Methods Med       Date:  2013-11-24       Impact factor: 2.238

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.