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B. A. Simon, G. E. Christensen, D. A. Low, and J. M. Reinhardt. Computed Tomography Studies of Lung Mechanics. Proc Am Thorac Soc, vol. 2, no. 6, pp. 517-521, 2005.

Abstract: The study of lung mechanics has progressed from global descriptions of lung pressure and volume relationships to the high-resolution, three-dimensional, quantitative measurement of dynamic regional mechanical properties and displacements. X-ray computed tomography (CT) imaging is ideally suited to the study of regional lung mechanics in intact subjects because of its high spatial and temporal resolution, correlation of functional data with anatomic detail, increasing volumetric data acquisition, and the unique relationship between CT density and lung air content. This review presents an overview of CT measurement principles and limitations for the study of regional mechanics, reviews some of the early work that set the stage for modern imaging approaches and impacted the understanding and management of patients with acute lung injury, and presents evolving novel approaches for the analysis and application of dynamic volumetric lung image data.

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Keywords: biomechanics lung

Other publications by: B. A. Simon, G. E. Christensen, D. A. Low, J. M. Reinhardt

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J. M. Reinhardt, K. Ding, K. Cao, G. E. Christensen, E. A. Hoffman, and S. V. Bodas. Registration-based estimates of local lung tissue expansion compared to xenon-CT measures of specific ventilation. Medical Image Analysis, vol. 12, no. 6, pp. 752-763, 2008. (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)
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S. Krishnan, K. C. Beck, J. M. Reinhardt, K. A. Carlson, B. A. Simon, R. K. Albert, and E. A. Hoffman. Regional lung ventilation from volumetric CT scans using image warping functions. In 2004 International Symposium on Biomedical Imaging, pp. 792-795, 2004. (details)
Y. Pan, D. Kumar, E. A. Hoffman, G. E. Christensen, G. McLennan, J. H. Song, A. Ross, B. A. Simon, and J. M. Reinhardt. Regional lung expansion via 3D image registration. In A. Amini and A. Manduca, eds., Proc. SPIE Conf. Medical Imaging, vol. 5746, pp. 453-464, San Diego, CA, 2005. (details)
K. Ding, K. Cao, G. E. Christensen, E. A. Hoffman, and J. M. Reinhardt. Registration-based regional lung mechanical analysis: Retrospectively reconstructed dynamic imaging versus static breath-hold image acquisition. In X. P. Hu and A. V. Clough, eds., Proc. SPIE Conf. Medical Imaging, vol. 7262, Lake Buena Vista, FL, 2009. (details)
J. M. Reinhardt, G. E. Christensen, E. A. Hoffman, K. Ding, and K. Cao. Registration-derived estimates of local lung expansion as surrogates for regional ventilation. In N. Karssemeijer and B. Lelieveldt , eds., Information Processing in Medical Imaging, vol. 4584 of Lecture Notes in Computer Science, pp. 763-774, Kerkrade, The Netherlands, 2007. (details)
K. Ding, K. Cao, G. E. Christensen, M. L. Raghavan, E. A. Hoffman, and J. M. Reinhardt. Registration-based lung tissue mechanics assessment during tidal breathing. In M. Brown, M. de Bruijne, B. van Ginneken, A. Kiraly, J.-M. Kuhnigk, C. Lorenz, K. Mori, and J. M. Reinhardt, eds., First International Workshop on Pulmonary Image Analysis, pp. 63-72, New York, 2008. (details)

Related theses:

K. Ding. Registration-based regional lung mechanical analysis. MS thesis, The University of Iowa, Iowa City, IA, 2008. (details)
Y. Pan. Estimation of regional lung expansion via 3D image registration. MS thesis, The University of Iowa, Iowa City, IA, 2005. (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)