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Creation of a female and male segmentation dataset based on Chinese Visible Human (CVH).
Comput Med Imaging Graph. 2012 Jun; 36(4):336-42.CM

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.

Links

Publisher Full Text (DOI)

Authors+Show Affiliations

Wu Y
Department of Human Anatomy, Institute of Basic Medical Science, Third Military Medical University, Chongqing, China.
Tan LW
No affiliation info available
Li Y
No affiliation info available
Fang BJ
No affiliation info available
Xie B
No affiliation info available
Wu TN
No affiliation info available
Li QY
No affiliation info available
Qiu MG
No affiliation info available
Liu GJ
No affiliation info available
Li K
No affiliation info available
Xu HT
No affiliation info available
Luo N
No affiliation info available
Zhang SX
No affiliation info available

MeSH

Anatomy, Cross-SectionalCadaverChinaFemaleHumansImage Processing, Computer-AssistedImaging, Three-DimensionalMaleSoftwareVisible Human Projects

Pub Type(s)

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

Language

eng

PubMed ID

22391063

Citation

Wu, Yi, et al. "Creation of a Female and Male Segmentation Dataset Based On Chinese Visible Human (CVH)." Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society, vol. 36, no. 4, 2012, pp. 336-42.
Wu Y, Tan LW, Li Y, et al. Creation of a female and male segmentation dataset based on Chinese Visible Human (CVH). Comput Med Imaging Graph. 2012;36(4):336-42.
Wu, Y., Tan, L. W., Li, Y., Fang, B. J., Xie, B., Wu, T. N., Li, Q. Y., Qiu, M. G., Liu, G. J., Li, K., Xu, H. T., Luo, N., & Zhang, S. X. (2012). Creation of a female and male segmentation dataset based on Chinese Visible Human (CVH). Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society, 36(4), 336-42. https://doi.org/10.1016/j.compmedimag.2012.01.003
Wu Y, et al. Creation of a Female and Male Segmentation Dataset Based On Chinese Visible Human (CVH). Comput Med Imaging Graph. 2012;36(4):336-42. PubMed PMID: 22391063.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Creation of a female and male segmentation dataset based on Chinese Visible Human (CVH). AU - Wu,Yi, AU - Tan,Li-Wen, AU - Li,Ying, AU - Fang,Bin-Ji, AU - Xie,Bing, AU - Wu,Tong-Ning, AU - Li,Qi-Yu, AU - Qiu,Ming-Guo, AU - Liu,Guang-Jiu, AU - Li,Kai, AU - Xu,Hao-Tong, AU - Luo,Na, AU - Zhang,Shao-Xiang, Y1 - 2012/03/04/ PY - 2011/10/13/received PY - 2012/01/29/revised PY - 2012/01/31/accepted PY - 2012/3/7/entrez PY - 2012/3/7/pubmed PY - 2012/9/21/medline SP - 336 EP - 42 JF - Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society JO - Comput Med Imaging Graph VL - 36 IS - 4 N2 - 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. SN - 1879-0771 UR - https://www.unboundmedicine.com/medline/citation/22391063/Creation_of_a_female_and_male_segmentation_dataset_based_on_Chinese_Visible_Human__CVH__ DB - PRIME DP - Unbound Medicine ER -