DocumentCode
2083752
Title
Reconstruction of the Digital Chinese Human
Author
Qi, Lina ; Zhou, Guohong ; Han, Xiaopeng ; Du, Guangwei ; Cao, Huizhi ; Chai, Huizhen ; Zhong, Qin ; Dong, Shuo ; Luo, Shuqian
Author_Institution
Capital Med. Univ., Beijing
fYear
2007
fDate
23-27 May 2007
Firstpage
140
Lastpage
146
Abstract
The digital human project aims at the building of whole human body datasets, from nano to macro, including cells, DNA, tissues, organs and the systems. This paper presents the construction of virtual Chinese human(VCH) dataset, including data acquisition, image preprocessing, image registration, ROI segmentation and 3D visualization. Almost all the main anatomical structures in human body have been segmented and 3D reconstructed. Furthermore, we also developed some applications based on VCH dataset, such as, 3D anatomy atlas, virtual health science education software, virtual acupuncture, and Image-Guided Neurosurgery. Virtual Human dataset provides an indispensable framework for researchers in all the subjects related to human structure, and is potentially of great significance for the development of a myriad of sciences and technologies.
Keywords
biomedical MRI; computerised tomography; image reconstruction; image registration; image segmentation; medical image processing; 3D anatomy atlas; 3D image reconstruction; 3D visualization; ROI segmentation; VCH dataset construction; Virtual Chinese Human; data acquisition; digital human project; human anatomical structures; human body datasets; image guided neurosurgery; image preprocessing; image registration; virtual acupuncture; virtual health science education software; Anatomical structure; Application software; Buildings; DNA; Data acquisition; Data visualization; Humans; Image reconstruction; Image registration; Image segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Complex Medical Engineering, 2007. CME 2007. IEEE/ICME International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-1077-4
Electronic_ISBN
978-1-4244-1078-1
Type
conf
DOI
10.1109/ICCME.2007.4381709
Filename
4381709
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