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Geometric model reconstruction of the real human upper respiratory tract for compute simulation
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.
Geometric model reconstruction of the real human upper respiratory tract for compute simulation
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.
Geometric model reconstruction of the real human upper respiratory tract for compute simulation
Jiang Lin, (author) / Guilin Hu, (author)
2009-11-01
754360 byte
Conference paper
Electronic Resource
English
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