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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.
Abstract:
A segmentation framework for the identification of human airway trees in high resolution computed tomography (CT) images is presented. This framework consists of a fully automated segmentation algorithm, supplemented by software editing tools that allow the user to correct the airway segmentation result if needed. The algorithm and tools presented in this paper have been successfully applied on more than 10,000 CT scans.
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Keywords:
airways
challenge
lung
Other publications by:
J. Tschirren,
T. Yavarna,
J. M. Reinhardt
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.
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- 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.
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- 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.
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- 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.
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- 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.
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Related conference papers:
- 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.
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- 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.
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- 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.
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- 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.
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- 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.
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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.
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- K. Ding. Registration-based regional lung mechanical analysis. MS thesis, The University of Iowa, Iowa City, IA, 2008.
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- D. Gopalakrishnan. Color analysis of the human airway wall. MS thesis, The University of Iowa, Iowa City, IA, 2003.
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- 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.
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- Y. Pan. Estimation of regional lung expansion via 3D image registration. MS thesis, The University of Iowa, Iowa City, IA, 2005.
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