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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.

Abstract: The lungs undergo expansion and contraction during the respiratory cycle. Since many disease or injury conditions are associated with the biomechanical or material property changes that can alter lung function, there is a great interest in measuring regional lung ventilation and regional mechanical changes. We describe a technique that uses multiple respiratory-gated CT images and non-rigid 3D image registration to make local estimates of lung tissue expansion. The degree of regional lung expansion is measured using the Jacobian (a function of local partial derivatives) of the registration displacement field. We compare the ventral-dorsal patterns of lung expansion estimated in both retrospectively reconstructed dynamic scans and static breath-hold scans to a xenon CT based measure of specific ventilation and a semi-automatic reference standard in four anesthetized sheep studied in the supine orientation. The regional lung expansion estimated by 3D image registration of images acquired at 50% and 75% phase points of the inspiratory portion of the respiratory cycle and 20 cm H2O and 25 cm H2O airway pressures gave the best match between the average Jacobian and the xenon CT specific ventilation respectively (linear regression, average r^2 = 0.85 and r^2 = 0.84). The registration accuracy assessed by 200 semi-automatically matched landmarks in both the dynamic and static scans show landmark error on the order of 2 mm.

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Keywords: biomechanics lung registration ventilation

Other publications by: K. Ding, K. Cao, G. E. Christensen, 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)
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)
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)