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Construction of dataset for Virtual Chinese Male No.1.
Di Yi Jun Yi Da Xue Xue Bao. 2003 Jun; 23(6):520-3.DY

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+Show Affiliations

Department of Anatomy, First Military Medical University, Guangzhou 510515, China.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

12810363

Citation

Yuan, Lin, et al. "Construction of Dataset for Virtual Chinese Male No.1." Di 1 Jun Yi Da Xue Xue Bao = Academic Journal of the First Medical College of PLA, vol. 23, no. 6, 2003, pp. 520-3.
Yuan L, Tang L, Huang WH, et al. Construction of dataset for Virtual Chinese Male No.1. Di Yi Jun Yi Da Xue Xue Bao. 2003;23(6):520-3.
Yuan, L., Tang, L., Huang, W. H., Li, J. Y., Dai, J. X., Liu, C., Wu, T., Wan, X. H., Hong, H. W., Zhang, M. C., Jiao, P. F., Lu, Y. T., Wu, K. C., Li, P. L., Fan, J. H., Gao, Y., Wang, Q. Z., Wang, L. J., Wu, L., ... Zhong, S. Z. (2003). Construction of dataset for Virtual Chinese Male No.1. Di 1 Jun Yi Da Xue Xue Bao = Academic Journal of the First Medical College of PLA, 23(6), 520-3.
Yuan L, et al. Construction of Dataset for Virtual Chinese Male No.1. Di Yi Jun Yi Da Xue Xue Bao. 2003;23(6):520-3. PubMed PMID: 12810363.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Construction of dataset for Virtual Chinese Male No.1. AU - Yuan,Lin, AU - Tang,Lei, AU - Huang,Wen-hua, AU - Li,Jian-yi, AU - Dai,Jin-xing, AU - Liu,Chang, AU - Wu,Tao, AU - Wan,Xing-hai, AU - Hong,Hui-wen, AU - Zhang,Mei-chao, AU - Jiao,Pei-feng, AU - Lu,Yun-tao, AU - Wu,Kun-cheng, AU - Li,Pei-liang, AU - Fan,Ji-hong, AU - Gao,Yuan, AU - Wang,Qing-zhi, AU - Wang,Long-jiang, AU - Wu,Lei, AU - Zhang,Lei, AU - Li,Xin-an, AU - Chen,Ying-hua, AU - Ouyang,Jun, AU - Zhong,Shi-zhen, PY - 2003/6/18/pubmed PY - 2004/4/17/medline PY - 2003/6/18/entrez SP - 520 EP - 3 JF - Di 1 jun yi da xue xue bao = Academic journal of the first medical college of PLA JO - Di Yi Jun Yi Da Xue Xue Bao VL - 23 IS - 6 N2 - 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. SN - 1000-2588 UR - https://www.unboundmedicine.com/medline/citation/12810363/Construction_of_dataset_for_Virtual_Chinese_Male_No_1_ DB - PRIME DP - Unbound Medicine ER -