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L. Zhang, E. A. Hoffman, and J. M. Reinhardt. Atlas-Driven Lung Lobe Segmentation in Volumetric X-ray CT Images. In M. Sonka and J. M. Fitzpatrick, eds., Proc. SPIE Conf. Medical Imaging, vol. 5032, pp. 309-319, San Diego, CA, 2003.

Abstract: The positions of the lobar fissures are of growing interest as computer-based quantitative measures to detect early pathologies and to predict or measure outcomes emerge. While we have developed a semi-automatic fissure detection method in our previous work, in this paper we describe the use of an anatomic pulmonary atlas with a priori knowledge about lobar fissures to automatically segment the lobar fissures. 16 volumetric CT scans from 16 subjects are used to construct the pulmonary atlas. After deforming the fissures onto a template image, the average fissure and variability between different subjects can be obtained by local statistical measures. The probabilistic analysis for the atlas shows that the atlas can provide an initialization for the fissure detection in certain regions with a predictable variation, although the initialization may not be close and complete. A ridgeness measure is applied on original images to enhance the fissure contrast. The fissure detection is accomplished by the initial fissure search and the final fissure search. While only parts of the initial search results are correctly delineated, a regional statistic analysis of ridgeness selects the most "reliable" initial search results, which are then used to initialize the final search.Our method has been tested in 22 volumetric thin-slice CT images from 12 subjects, and the results are compared to manual tracings. The mean of the similarity indices between the manual and computer defined lobes is 0.988. The results indicate a strong agreement between the automatic and manual lobe segmentations.

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Keywords: atlas lobes segmentation

Other publications by: L. Zhang, E. A. Hoffman, J. M. Reinhardt

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L. Zhang, E. A. Hoffman, and J. M. Reinhardt. Lung lobe segmentation in volumetric X-ray CT images. IEEE Trans. Medical Imaging, vol. 25, no. 1, pp. 1-16, 2006. (details)
S. Ukil and J. M. Reinhardt. Anatomy-guided lung lobar surface detection in X-ray CT images. IEEE Trans. Medical Imaging, vol. 28, no. 2, pp. 202-214, 2009. (details)
J. M. Reinhardt and W. E. Higgins. Paradigm for Shape-Based Image Analysis. Optical Engineering, vol. 37, no. 2, pp. 570-581, 1998. (details)
J. M. Reinhardt, A. J. Wang, T. P. Weldon, and W. E. Higgins. Cue-Based Segmentation of 4D Cardiac Image Sequences. Comp. Vision and Image Understanding, vol. 77, no. 2, pp. 251-262, 2000. (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)

Related conference papers:

L. Zhang and J. M. Reinhardt. Detection of Lung Lobar Fissures using Fuzzy Logic. In Proc. SPIE Conf. Medical Imaging, vol. 3660, pp. 188-199, 1999. (details)
L. Zhang, E. A. Hoffman, and J. M. Reinhardt. Lung lobar segmentation by graph search with 3D shape constraints. In C.-T. Chen and A. V. Clough, eds., Proc. SPIE Conf. Medical Imaging, vol. 4321, pp. 204-215, San Diego, CA, 2001. (details)
S. Ukil, E. A. Hoffman, and J. M. Reinhardt. Automatic lung lobe segmentation in X-ray CT images by 3D watershed transform using anatomic information from the segmented airway tree. In J. M. Fitzpatrick and J. M. Reinhardt, eds., Proc. SPIE Conf. Medical Imaging, vol. 5747, pp. 556-567, San Diego, CA, 2005. (details)
S. Ukil, M. Sonka, and J. M. Reinhardt. Automatic segmentation of pulmonary fissures in X-ray CT images using anatomic guidance. In J. M. Reinhardt and J. P. Pluim, eds., Proc. SPIE Conf. Medical Imaging, vol. 6144, pp. 213-223, San Diego, CA, 2006. (details)
W. E. Higgins, W. L. Sharp, M. W. Hansen, and J. M. Reinhardt. A graphical user interface system for 3D medical image analysis. In Y. Kim, ed., Proc. SPIE Conf. Medical Imaging, vol. 2164, Newport Beach, CA, 1994. (details)

Related theses:

L. Zhang. Atlas-driven lung lobe segmentation in volumetric X-ray CT images. PhD thesis, The University of Iowa, Iowa City, IA, 2002. (details)
S. Ukil. Anatomy-guided lung lobe segmentation and fissure analysis in X-ray CT images. PhD thesis, The University of Iowa, Iowa City, IA, 2006. (details)
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)