DocumentCode
2994040
Title
Geometric model reconstruction of the real human upper respiratory tract for compute simulation
Author
Lin, Jiang ; Hu, Guilin
Author_Institution
Sch. of Light Ind., Zhejiang Univ. of Sci. & Technol., Hangzhou, China
fYear
2009
fDate
26-29 Nov. 2009
Firstpage
1473
Lastpage
1476
Abstract
Based on the voxels with the highest density, the human upper airway is constructed from a normal adult male computed tomography images by Maximum Intensity Projections (MIP) in this paper. The Volume Rendering Technique (VRT) is adopted in the research. The different organ is distinguished by their density, i.e. image gray. ). In order to reduce the data processing time and save the software and hardware resources, the size of block data is changed before mass data processing by discarding data without containing information content. The obtained geometric model is used to computational fluid dynamics (CFD) simulation of airflow and particle transport, the computation accuracy and reliability is greatly enhanced. Furthermore, the experimental model based the obtained model using Laser Rapid Prototyping Manufacture (LRPM) technology is designed and conducted.
Keywords
biophysics; computational fluid dynamics; flow simulation; CFD; computational fluid dynamics simulation; geometric model reconstruction; human upper respiratory tract; laser rapid prototyping manufacture; maximum intensity projections; normal adult male computed tomography; particle transport; volume rendering technique; voxels; Computational fluid dynamics; Computational modeling; Computed tomography; Data processing; Hardware; Humans; Image reconstruction; Laser modes; Rendering (computer graphics); Solid modeling; Human Upper respiratory tract; Maximum Intensity Projections; Reconstruction; computational fluid dynamics;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer-Aided Industrial Design & Conceptual Design, 2009. CAID & CD 2009. IEEE 10th International Conference on
Conference_Location
Wenzhou
Print_ISBN
978-1-4244-5266-8
Electronic_ISBN
978-1-4244-5268-2
Type
conf
DOI
10.1109/CAIDCD.2009.5374930
Filename
5374930
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