title: High resolution lung airway cast segmentation with proper topology suitable for computational fluid dynamic simulations.
abstract: Developing detailed lung airway models is an important step towards understanding the respiratory system. While modern imaging and airway casting approaches have dramatically improved the potential detail of such models, challenges have arisen in image processing as the demand for greater detail pushes the image processing approaches to their limits. Airway segmentations with proper topology have neither loops nor invalid voxel-to-voxel connections. Here we describe a new technique for segmenting airways with proper topology and apply the approach to an image volume generated by magnetic resonance imaging of a silicone cast created from an excised monkey lung.
authors.affiliation: Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA 99352, USA. james.carson@pnl.gov
authors.forename: James P
authors.initials: JP
authors.lastname: Carson
authors.forename: Daniel R
authors.initials: DR
authors.lastname: Einstein
authors.forename: Kevin R
authors.initials: KR
authors.lastname: Minard
authors.forename: Michelle V
authors.initials: MV
authors.lastname: Fanucchi
authors.forename: Christopher D
authors.initials: CD
authors.lastname: Wallis
authors.forename: Richard A
authors.initials: RA
authors.lastname: Corley
mesh_terms: D000818:Animals; D001980:Bronchi / Q000033:anatomy & histology* / Q000502:physiology; D057446:Hydrodynamics; D007091:Image Processing, Computer-Assisted; D021621:Imaging, Three-Dimensional; D008253:Macaca mulatta; D008279:Magnetic Resonance Imaging; D008297:Male; D008953:Models, Anatomic; D051381:Rats
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