title: Spatially constrained random walk approach for accurate estimation of airway wall surfaces.
abstract: Assessing airway wall surfaces and the lumen from high resolution computed tomography (CT) scans are of great importance for diagnosing pulmonary diseases. However, accurately determining inner and outer airway wall surfaces of a complete 3-D tree structure can be quite challenging because of its complex nature. In this paper, we introduce a computational framework to accurately quantify airways through (i) a precise segmentation of the lumen, and (ii) a spatially constrained Markov random walk method to estimate the airway walls. Our results demonstrate that the proposed airway analysis platform identified the inner and outer airway surfaces better than methods commonly used in clinics, such as full width at half maximum and phase congruency.
authors.affiliation: Center for Infectious Disease Imaging, Department of Radiology and Imaging Sciences, National Institutes of Health, Bethesda, MD 20892, USA. ziyue.xu@nih.gov
authors.forename: Ziyue
authors.initials: Z
authors.lastname: Xu
authors.affiliation: Center for Infectious Disease Imaging, Department of Radiology and Imaging Sciences, National Institutes of Health, Bethesda, MD 20892, USA.
authors.forename: Ulas
authors.initials: U
authors.lastname: Bagci
authors.affiliation: Center for Infectious Disease Imaging, Department of Radiology and Imaging Sciences, National Institutes of Health, Bethesda, MD 20892, USA.
authors.forename: Brent
authors.initials: B
authors.lastname: Foster
authors.affiliation: Center for Infectious Disease Imaging, Department of Radiology and Imaging Sciences, National Institutes of Health, Bethesda, MD 20892, USA.
authors.forename: Awais
authors.initials: A
authors.lastname: Mansoor
authors.affiliation: Center for Infectious Disease Imaging, Department of Radiology and Imaging Sciences, National Institutes of Health, Bethesda, MD 20892, USA.
authors.forename: Daniel J
authors.initials: DJ
authors.lastname: Mollura
mesh_terms: D000465:Algorithms; D003627:Data Interpretation, Statistical; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008168:Lung / Q000000981:diagnostic imaging*; D010363:Pattern Recognition, Automated / Q000379:methods*; D011856:Radiographic Image Enhancement / Q000379:methods; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014057:Tomography, X-Ray Computed / Q000379:methods*