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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.

Abstract: Lung tissue expansion and contraction can be assessed by acquiring multiple 3D CT images at different lung volumes. Static "breath-hold'' imaging has been shown to produce tissue deformation estimates that match well with other measures of lung function. However, dynamic imaging protocols that image the breathing lung may produce more physiologically meaningful estimates of lung function. We use non-linear image registration to match retrospectively reconstructed respiratory-gated lung "dynamic'' CT volumes acquired during tidal breathing. We compare the lung expansion and contraction estimates from the dynamic acquisitions to regional ventilation assessed by xenon-enhanced CT. The Jacobian-based lung volume change estimate shows a good agreement with the xenon-CT (average $r^2=0.85$) at image pair acquired at 50% and 75% of the inspiration duration.

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Keywords: biomechanics lung registration ventilation

Other publications by: K. Ding, K. Cao, G. E. Christensen, M. L. Raghavan, E. A. Hoffman, J. M. Reinhardt

Related journal papers:

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)
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. (details)
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. (details)
M. K. Fuld, R. B. Easley, O. Saba, D. Chon, J. M. Reinhardt, E. A. Hoffman, and B. A. Simon. CT measured regional specific volume change reflects regional specific ventilation in supine sheep. J. Applied Physiology, vol. 104, no. 4, pp. 1177-1184, 2008. (details)
B. Li, G. E. Christensen, G. McLennan, E. A. Hoffman, and J. M. Reinhardt. Pulmonary CT image registration and warping for tracking tissue deformation during the respiratory cycle through 3-D Consistent Image Registration. Medical Physics, vol. 35, no. 12, pp. 5575-5583, 2008. (details)

Related conference papers:

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, Y. Yin, K. Cao, G. E. Christensen, C.-L. Lin, E. A. Hoffman, and J. M. Reinhardt. Evaluation of Lobar Biomechanics during Respiration using Image Registration. In G.-Z. Yang, D. J. Hawkes, D. Rueckert, A. Noble, and C. Taylor, eds., Medical Imaging Computing and Computer Assisted Intervention, vol. 5761 of Lecture Notes in Computer Science, pp. 739-746, London, UK, 2009. (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)
S. Lee. A study of ophthalmologic imaging distortion for retinal image registration and validation. PhD thesis, The University of Iowa, Iowa City, IA, 2008. (details)
S. V. Bodas. Improved association graph matching of intra-patient airway trees. MS thesis, The University of Iowa, Iowa City, IA, 2008. (details)