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X. Artaechevarria, D. Perez-Martin, J. M. Reinhardt, A. Munoz-Barrutia, and C. Ortiz-de-Solarzano. Automated Quantitative Analysis of a Mouse Model of Chronic Pulmonary Inflammation using Micro X-ray Computed Tomography. 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. 115-124, London, UK, 2009.

Abstract: Micro-CT has emerged as an excellent tool for in-vivo imag- ing of the lungs of small laboratory animals. Several studies have shown that it can be used to assess the evolution of pulmonary lung diseases in longitudinal studies. However, most of them rely on non-automatic tools for image analysis, or are merely qualitative. In this article, we present a longitudinal, quantitative study of a mouse model of silica-induced pulmonary inflammation. To automatically assess disease progression, we have devised and validated a lung segmentation method that com- bines threshold-based segmentation, atlas-based segmentation and level sets. Our volume measurements, based on the automatic segmentations, point at a compensation mechanism which leads to an increase of the healthy lung volume in response to the loss of functional tissue caused by inflammation.

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Keywords: lung mouse segmentation

Other publications by: X. Artaechevarria, D. Perez-Martin, J. M. Reinhardt, A. Munoz-Barrutia, C. Ortiz-de-Solarzano

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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)
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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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)
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)
L. Shi, J. Thiesse, G. McLennan, E. A. Hoffman, and J. M. Reinhardt. Three-Dimensional Murine Airway Segmentation in Micro-CT Images. In J. P. Pluim and J. M. Reinhardt, eds., Proc. SPIE Conf. Medical Imaging, vol. 6512, San Diego, CA, 2007. (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)
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)
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)