title: Construction of dataset for Virtual Chinese Male No.1.
abstract: OBJECTIVE
  To establish digitized Virtual Chinese Human Male No.1 (VCH-M1) image dataset with a 0.2-mm equal interval.
  
  
  METHODS
  The body of a 24-year-old male was used for this study. Perfusion with phenol and vermilion of the arteries was performed, followed by body shape adjustment by cold saline and pre-embedding with broken ices in an upside-down position, which was completed in a stepwise procedure to minimize body shape deformation. Section milling was conducted subsequently with the section thickness of 2 mm and the section images were captured by digital camera, which were immediately transferred to a computer for storage and processing.
  
  
  RESULTS
  A total of 9 232 sections were obtained for the whole body, and the resolution of each of the image in TIF format was 3 024x2 016 pixels, resulting in the size of approximately 18 M for each image and about 161 G for the whole dataset.
  
  
  CONCLUSIONS
  Compared with VCH-F1, the image quality in VCH-M1 dataset is significantly improved, demonstrated by much clearer tissue boundary in the images and minimized body shape deformation during the embedding process.
authors.affiliation: Department of Anatomy, First Military Medical University, Guangzhou 510515, China.
authors.forename: Lin
authors.initials: L
authors.lastname: Yuan
authors.forename: Lei
authors.initials: L
authors.lastname: Tang
authors.forename: Wen-hua
authors.initials: WH
authors.lastname: Huang
authors.forename: Jian-yi
authors.initials: JY
authors.lastname: Li
authors.forename: Jin-xing
authors.initials: JX
authors.lastname: Dai
authors.forename: Chang
authors.initials: C
authors.lastname: Liu
authors.forename: Tao
authors.initials: T
authors.lastname: Wu
authors.forename: Xing-hai
authors.initials: XH
authors.lastname: Wan
authors.forename: Hui-wen
authors.initials: HW
authors.lastname: Hong
authors.forename: Mei-chao
authors.initials: MC
authors.lastname: Zhang
authors.forename: Pei-feng
authors.initials: PF
authors.lastname: Jiao
authors.forename: Yun-tao
authors.initials: YT
authors.lastname: Lu
authors.forename: Kun-cheng
authors.initials: KC
authors.lastname: Wu
authors.forename: Pei-liang
authors.initials: PL
authors.lastname: Li
authors.forename: Ji-hong
authors.initials: JH
authors.lastname: Fan
authors.forename: Yuan
authors.initials: Y
authors.lastname: Gao
authors.forename: Qing-zhi
authors.initials: QZ
authors.lastname: Wang
authors.forename: Long-jiang
authors.initials: LJ
authors.lastname: Wang
authors.forename: Lei
authors.initials: L
authors.lastname: Wu
authors.forename: Lei
authors.initials: L
authors.lastname: Zhang
authors.forename: Xin-an
authors.initials: XA
authors.lastname: Li
authors.forename: Ying-hua
authors.initials: YH
authors.lastname: Chen
authors.forename: Jun
authors.initials: J
authors.lastname: Ouyang
authors.forename: Shi-zhen
authors.initials: SZ
authors.lastname: Zhong
mesh_terms: D000328:Adult; D019412:Anatomy, Cross-Sectional; D002681:China; D003625:Data Collection; D006801:Humans; D008297:Male; D014584:User-Computer Interface