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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.

Abstract: Modern multislice X-ray CT scanners provide high-resolution volumetric image data containing a wealth of structural and functional information. The size of the volumes makes it more and more difficult for human observers to visually evaluate their contents. Similar to other areas of medical image analysis, highly automated extraction and quan-titative assessment of volumetric data is increasingly important in pul-monary physiology, diagnosis, and treatment. We present a method for a fully automated segmentation of a human airway tree, its skeletoniza-tion, identification of airway branches and branchpoints, as well as a method for matching the airway trees, branches, and branchpoints for the same subject over time and across subjects. The validation of our method shows a high correlation between the automatically obtained results and reference data provided by human observers.

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Keywords: airways lung segmentation

Other publications by: J. Tschirren, K. Palagyi, J. M. Reinhardt, E. A. Hoffman, M. Sonka

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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. (details)
D. Aykac, E. A. Hoffman, G. McLennan, and J. M. Reinhardt. Segmentation and analysis of the human airway tree from three-dimensional X-Ray CT images. IEEE Trans. Medical Imaging, vol. 22, no. 8, pp. 940-950, 2003. (details)
S. Ukil and J. M. Reinhardt. Smoothing Lung Segmentation Surfaces in 3D X-ray CT Images using Anatomic Guidance. Acad. Radiol., vol. 12, no. 12, pp. 1502-1511, 2005. (details)
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J. M. Reinhardt and W. E. Higgins. Paradigm for Shape-Based Image Analysis. Optical Engineering, vol. 37, no. 2, pp. 570-581, 1998. (details)

Related conference papers:

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)
B. Li and J. M. Reinhardt. Automatic generation of 3-D shape models and their application to tomographic image segmentation. In M. Sonka and K. M. Hansen, eds., Proc. SPIE Conf. Medical Imaging, vol. 4322, pp. 311-322, San Diego, CA, 2001. (details)
L. Shi, E. A. Hoffman, and J. M. Reinhardt. Segmentation of the Ovine Lung in 3D CT Images. In A. Amini and A. Manduca, eds., Proc. SPIE Conf. Medical Imaging, vol. 5369, pp. 455-463, San Diego, CA, 2004. (details)
S. Ukil and J. M. Reinhardt. Smoothing Lung Segmentation Surfaces in 3D X-ray CT Images using Anatomic Guidance. In Proc. SPIE Conf. Medical Imaging, vol. 5370, pp. 1066-1075, 2004. (details)
J. Thiesse, J. M. Reinhardt, J. de Ryk, J. Leinen, W. Recheis, E. A. Hoffman, and G. McLennan. Three-dimensional visual truth of the normal airway tree for use as a quantitative comparison to micro-CT reconstructions. In A. Amini and A. Manduca, eds., Proc. SPIE Conf. Medical Imaging, vol. 5746, pp. 369-383, San Diego, CA, 2005. (details)

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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)
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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. (details)
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