DocumentCode :
2804373
Title :
Progress towards a medical image through CFD analysis toolkit for respiratory function assessment on a clinical time scale
Author :
Kunz, R.F. ; Haworth, D.C. ; Porzio, D.P. ; Kriete, A.
Author_Institution :
Appl. Res. Lab., Penn State Univ., University Park, PA, USA
fYear :
2009
fDate :
June 28 2009-July 1 2009
Firstpage :
382
Lastpage :
385
Abstract :
A semi-automated end-to-end medical image through computational fluid dynamics (CFD) analysis toolkit has been developed, with the ultimate goal of providing clinical-time-scale (hours) diagnostic information for respiratory disease and injury assessment. A software system is in place that proceeds from a standard clinical image format, through lobe and upper bronchi segmentation, upper airway ldquothinningrdquo, airway generation partitioning, and truncation, lower bronchiole lobe volume filling, octree-based unstructured mesh generation for the upper airways, quasi-one-dimensional geometric modeling for the lower airways, and CFD analysis of respiration. Each of these components is presented.
Keywords :
computational fluid dynamics; diseases; image segmentation; medical image processing; mesh generation; pneumodynamics; CFD analysis toolkit; airway generation partitioning; clinical-time-scale diagnostic information; computational fluid dynamics; lower bronchiole lobe volume filling; quasione-dimensional geometric modeling; respiratory disease; semiautomated end-to-end medical imaging; unstructured mesh generation; upper airway thinning; upper bronchi segmentation; Biomedical imaging; Computational fluid dynamics; Diseases; Image analysis; Information analysis; Injuries; Medical diagnostic imaging; Mesh generation; Software standards; Software systems; fluid dynamics; image segmentation; mesh generation; multi-scale modeling; respiratory system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
Conference_Location :
Boston, MA
ISSN :
1945-7928
Print_ISBN :
978-1-4244-3931-7
Electronic_ISBN :
1945-7928
Type :
conf
DOI :
10.1109/ISBI.2009.5193064
Filename :
5193064
Link To Document :
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