Publication Detail Page

O. Saba, D. Chon, K. C. Beck, G. McLennan, J. Sieren, J. M. Reinhardt, and E. A. Hoffman. Static Versus Prospective Gated Non-breath Hold Volumetric MDCT Imaging of the Lungs. Acad. Radiol., vol. 12, no. 11, pp. 1371-1384, 2005.

Abstract: Rationale and Objectives. The study's aim is to establish lung-imaging methods that provide for the ability to image the lung under dynamic non-breath hold conditions while providing "virtual breath hold" quantifiable volumetric image data sets. Static breath hold images are used as the gold standard for evaluating these virtual breath hold images in both a phantom and sheep. Materials and Methods. Axial methods for gating image acquisition to multiple points in the respiratory cycle interleaved with incremental table stepping during multidetector-row computed tomographic (MDCT) scanning were developed. Data sets are generated over multiple breaths, providing volume images representative of multiple points within a respiratory cycle. To determine the reproducibility and accuracy of the methods, six anesthetized sheep were studied by means of MDCT in nongated and airway-pressure (Pawy)-gated modes in which Pawy was 0, 7, and 15 cm H2O. Results. No significant differences were found between coefficients of variation in air volume measured from repeated static scans (1.74% +/- 1.78%), gated scans: inspiratory (1.2% +/- 0.44%) or expiratory gated (1.39% +/- 0.98%), or between static (1.74% +/- 1.78%) and gated (1.39% +/- 0.98%) scanning at similar Pawy (P $>$ .1). Measured air volumes were larger from static versus gated scans by 5.85% +/- 3.77% at 7 cm H2O and 4.45% +/- 3.6% at 15 cm H2O of Pawy (P $<$ .05), consistent with hysteresis. Differences between air volumes at 7 and 15 cm H2O measured from either static or gated scans or that delivered by a super syringe were insignificant (P $<$ .05). Visual accuracy of three-dimensional anatomic geometry was achieved, and landmark certainty was within 1 mm across respiratory cycles. Conclusions. A method has been shown that provides for accurate gating to respiratory signals during axial scanning. High-resolution volumetric image data sets are achievable while the scanned subject is breathing. Images are quantitatively similar to breath hold images, with differences likely explained by known pressure-volume hysteresis effects.

DOI link for this publication

Citation: BibTeX format Endnote format

Keywords: imaging lung

Other publications by: O. Saba, D. Chon, K. C. Beck, G. McLennan, J. Sieren, J. M. Reinhardt, E. A. Hoffman

Related journal papers:

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)
E. A. Hoffman, J. M. Reinhardt, M. Sonka, B. A. Simon, J. Guo, O. Saba, D. Chon, S. Samrah, H. Shikata, J. Tschirren, K. Palagyi, K. C. Beck, and G. McLennan. Characterization of the Interstitial Lung Diseases via Density-Based and Texture-Based Analysis of Computed Tomography Images of Lung Structure and Function. Acad. Radiol., vol. 10, no. 10, pp. 1104-1118, 2003. (details)
E. A. Hoffman, A. V. Clough, G. E. Christensen, C.-L. Lin, G. McLennan, J. M. Reinhardt, B. A. Simon, M. Sonka, M. Tawhai, E. van Beek, and G. Wang. The comprehensive imaging-based analysis of the lung: A forum for team science. Acad. Radiol., vol. 11, no. 12, pp. 1370-1380, 2004. (details)

Related conference papers:

E. A. Hoffman, J. M. Reinhardt, J. K. Tajik, and B. Q. Tran. Physiologic assessment of the lung via X-ray CT. In E. A. Hoffman, ed., Proc. SPIE Conf. Medical Imaging, vol. 3033, Newport Beach, CA, 1997. (details)
L. Zhang and J. M. Reinhardt. 3D pulmonary CT image registration with a standard lung atlas. In C.-T. Chen and A. V. Clough, eds., Proc. SPIE Conf. Medical Imaging, vol. 3978, pp. 67-77, San Diego, CA, 2000. (details)
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)
F. Li, C.-W. Chen, E. A. Hoffman, and J. M. Reinhardt. Evaluation and application of 3D lung warping and registration model using HRCT images. In C.-T. Chen and A. V. Clough, eds., Proc. SPIE Conf. Medical Imaging, vol. 4321, pp. 234-243, San Diego, CA, 2001. (details)
B. Li, G. E. Christensen, J. Dill, E. A. Hoffman, and J. M. Reinhardt. 3-D inter-subject warping and registration of pulmonary CT images for a human lung model. In A. V. Clough and C.-T. Chen, eds., Proc. SPIE Conf. Medical Imaging, vol. 4683, pp. 324-335, San Diego, CA, 2002. (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)