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
Link To Document :
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