Conference proceeding
Progress towards a medical image through CFD analysis toolkit for respiratory function assessment on a clinical time scale
2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp 382-385
Jun 2009
Featured in Collection : UN Sustainable Development Goals @ Drexel
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.
Metrics
Details
- Title
- Progress towards a medical image through CFD analysis toolkit for respiratory function assessment on a clinical time scale
- Creators
- R.F Kunz - Pennsylvania State UniversityD.C Haworth - Department of Mechanical Engineering, USAD.P Porzio - Pennsylvania State UniversityA Kriete - Drexel UniversityIEEE
- Publication Details
- 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp 382-385
- Publisher
- IEEE
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000270678400096
- Scopus ID
- 2-s2.0-70449484427
- Other Identifier
- 991019168365704721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Engineering, Biomedical
- Radiology, Nuclear Medicine & Medical Imaging