Publication Detail Page

P. Lo, B. van Ginneken, J. M. Reinhardt, and M. de Bruijne. Extraction of Airways from CT (EXACT'09). In M. Brown, M. de Bruijne, B. van Ginneken, A. Kiraly, J.-M. Kuhnigk, C. Lorenz, J. R. McClelland, K. Mori, A. Reeves, and J. M. Reinhardt, eds., Second International Workshop on Pulmonary Image Analysis, pp. 175-189, London, UK, 2009.

Abstract: This paper describes a framework for evaluating airway extraction algorithms in a standardized manner and establishing reference segmentations that can be used for future algorithm development. Because of the sheer difficulty of constructing a complete reference standard manually, we propose to construct a reference using results from the algorithms being compared, by splitting each airway tree segmentation result into individual branch segments that are subsequently visually inspected by trained observers. Using the so constructed reference, a total of seven performance measures covering different aspects of segmentation quality are computed. We evaluated 15 airway tree extraction algorithms from different research groups on a diverse set of 20 chest CT scans from subjects ranging from healthy volunteers to patients with severe lung disease, who were scanned at different sites, with several different CT scanner models, and using a variety of scanning protocols and reconstruction parameters.

Link to conference proceedings

Citation: BibTeX format Endnote format

Keywords: airways challenge lung

Other publications by: P. Lo, B. van Ginneken, J. M. Reinhardt, M. de Bruijne

Related journal papers:

J. M. Reinhardt, N. D. D'Souza, and E. A. Hoffman. Accurate Measurement of Intra-Thoracic Airways. IEEE Trans. Medical Imaging, vol. 16, no. 6, pp. 820-827, 1997. (details)
J. M. Reinhardt and E. A. Hoffman. Quantitative Pulmonary Imaging: Spatial and Temporal Considerations in HRCT. Acad. Radiol., vol. 5, no. 8, pp. 539-546, 1998. (details)
S. Hu, E. A. Hoffman, and J. M. Reinhardt. Automatic lung segmentation for accurate quantitation of volumetric X-ray CT images. IEEE Trans. Medical Imaging, vol. 20, no. 6, pp. 490-498, 2001. (details)
C. P. Rooney, M. Suter, G. McLennan, M. Donnelley, J. M. Reinhardt, A. Delsing, E. A. Hoffman, and J. Zabner. Laser Fluorescence Bronchoscopy for Detection of Fluorescent Reporter Genes in Airway Epithelia. Gene Therapy, vol. 9, no. 23, pp. 1639-1644, 2002. (details)
B. Li, G. E. Christensen, G. McLennan, E. A. Hoffman, and J. M. Reinhardt. Establishing a normative atlas of the human lung: Inter-subject warping and registration of volumetric CT. Acad. Radiol., vol. 10, no. 3, pp. 255-265, 2003. (details)

Related conference papers:

J. Tschirren, T. Yavarna, and J. M. Reinhardt. Airway Segmentation Framework for Clinical Environments. In M. Brown, M. de Bruijne, B. van Ginneken, A. Kiraly, J.-M. Kuhnigk, C. Lorenz, J. R. McClelland, K. Mori, A. Reeves, and J. M. Reinhardt, eds., Second International Workshop on Pulmonary Image Analysis, pp. 227-238, London, UK, 2009. (details)
H. Kitaoka, Y. Park, J. Tschirren, J. M. Reinhardt, M. Sonka, G. McLennan, and E. A. Hoffman. Automated nomenclature labeling of the bronchial tree in 3D-CT lung images. In Medical Imaging Computing and Computer Assisted Intervention, vol. 2489 of Lecture Notes in Computer Science, pp. 1-11, Tokyo, 2002. (details)
J. Tschirren, K. Palagyi, J. M. Reinhardt, E. A. Hoffman, and M. Sonka. Segmentation, skeletonization, and branchpoint matching: A fully automated quantitative evaluation of human intrathoracic airway trees. In Medical Imaging Computing and Computer Assisted Intervention, vol. 2489 of Lecture Notes in Computer Science, pp. 12-19, Tokyo, 2002. (details)
N. D. D'Souza, J. M. Reinhardt, and E. A. Hoffman. ASAP: Interactive Quantification of 2D Airway Geometry. In E. A. Hoffman, ed., Proc. SPIE Conf. Medical Imaging, vol. 2709, pp. 180-196, Newport Beach, CA, 1996. (details)
R. A. Chiplunkar, J. M. Reinhardt, and E. A. Hoffman. Segmentation and Quantification of the Primary Human Airway Tree from 3-D X-ray CT. In E. A. Hoffman, ed., Proc. SPIE Conf. Medical Imaging, vol. 3033, pp. 403-414, Newport Beach, CA, 1997. (details)

Related theses:

D. Aykac. Segmentation and analysis of the human airway tree from 3D X-ray CT images. MS thesis, The University of Iowa, Iowa City, IA, 2000. (details)
K. Ding. Registration-based regional lung mechanical analysis. MS thesis, The University of Iowa, Iowa City, IA, 2008. (details)
D. Gopalakrishnan. Color analysis of the human airway wall. MS thesis, The University of Iowa, Iowa City, IA, 2003. (details)
B. Li. The construction of a normative human lung atlas by inter-subject registration and warping of CT images. PhD thesis, The University of Iowa, Iowa City, IA, 2004. (details)
Y. Pan. Estimation of regional lung expansion via 3D image registration. MS thesis, The University of Iowa, Iowa City, IA, 2005. (details)