Construction of dataset for Virtual Chinese Male No.1.
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.
Yuan
Lin
L
Department of Anatomy, First Military Medical University, Guangzhou 510515, China.
Tang
Lei
L
Huang
Wen-hua
WH
Li
Jian-yi
JY
Dai
Jin-xing
JX
Liu
Chang
C
Wu
Tao
T
Wan
Xing-hai
XH
Hong
Hui-wen
HW
Zhang
Mei-chao
MC
Jiao
Pei-feng
PF
Lu
Yun-tao
YT
Wu
Kun-cheng
KC
Li
Pei-liang
PL
Fan
Ji-hong
JH
Gao
Yuan
Y
Wang
Qing-zhi
QZ
Wang
Long-jiang
LJ
Wu
Lei
L
Zhang
Lei
L
Li
Xin-an
XA
Chen
Ying-hua
YH
Ouyang
Jun
J
Zhong
Shi-zhen
SZ
D000328:Adult; D019412:Anatomy, Cross-Sectional; D002681:China; D003625:Data Collection; D006801:Humans; D008297:Male; D014584:User-Computer Interface