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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.

Abstract: CT imaging techniques permit the non-invasive measurement of regional lung function. Regional specific volume change (sVol), determined from the change in lung density over a tidal breath, should correlate with regional ventilation and regional lung expansion measured with other techniques. sVol was validated against xenon (Xe)-CT specific ventilation (sV) in four anesthetized, intubated, mechanically ventilated sheep. Xe-CT used expiratory gated axial scanning during the washin and washout of 55% Xe. sVol was measured from the tidal changes in tissue density (H, houndsfield units) of lung regions using the relationship: sVol = (1000 (Hi-He)) / (He (1000+Hi)) where He and Hi are expiratory and inspiratory regional density. Distinct anatomical markings were used to define corresponding lung regions of interest between inspiratory, expiratory, and Xe-CT images, with an average region of interest size of 1.6+/-0.7 ml. In addition, sVol was compared to regional volume changes measured directly from the positions of implanted metal markers in an additional animal. A linear relationship between sVol and sV was demonstrated over a wide range of regional sV found in the normal supine lung, with an overall correlation coefficient (R(2)) of 0.66. There was a tight correlation (R(2)=0.97) between marker-measured volume changes and sVol. Regional sVol, which involves significantly reduced exposure to radiation and Xe gas compared to the Xe-CT method, represents a safe and efficient surrogate for measuring regional ventilation in experimental studies and patients. Key words: computed tomography, implanted markers, xenon-CT, lung mechanics.

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Keywords: lung ventilation

Other publications by: M. K. Fuld, R. B. Easley, O. Saba, D. Chon, J. M. Reinhardt, E. A. Hoffman, B. A. Simon

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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)
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)
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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)
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)