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T. E. Robinson, F. R. Long, P. Raman, P. Saha, M. J. Edmond, J. M. Reinhardt, R. Raman, and A. S. Brody. An airway phantom to standardize CT acquisition in multi-center clinical trials. Acad. Radiol., vol. 16, no. 9, pp. 1134-1141, 2009.

Abstract: Rationale and Objectives. The purpose of this study was to demonstrate the use of a phantom to standardize low dose chest CT protocols in children with cystic fibrosis. Materials and Methods. Spiral chest CT scans of a Plexiglas phantom simulating airway sizes (internal diameter: 1.1 - 16.4 mm; wall thickness: 0.4 - 4.6 mm) in children with CF were obtained from two multidetector CT (MDCT) scanners (GE VCT and Siemens Sensation 64). Quantitative airway measurements from both scanners were compared with micro-CT airway measurements over a range of doses (0.2 - 1.8 mSv) to evaluate bias and variance of measurements. The effective doses for CT protocols were estimated using the ImPACT CT Dosimetry Calculator. Results. Both MDCT scanners were able to accurately measure airway sizes down to 3 mm internal diameter and 1.3 mm airway wall thickness with errors less than 3.5%. ImPACT estimates of effective dose were different for the MDCT scanners for a given peak tube voltage (kVp) and tube current/exposure time (mAs). Accuracy and precision were not found to be associated with dose parameters for either machine. Bias in all measurements was strongly associated with airway diameter (P<0.00001), but the magnitude of bias was small (mean = 0.07 mm, max=0.21 mm). Differences between machines in error components were on the order of a few microns. Conclusions. The use of a standard airway phantom confirms that different MDCT scanners have similar results within dose ranges planned for potential future clinical trials. Standardized protocols can be developed which adjust for differences in radiation exposure for different MDCT scanners.

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Keywords: airways measurement resolution

Other publications by: T. E. Robinson, F. R. Long, P. Raman, P. Saha, M. J. Edmond, J. M. Reinhardt, R. Raman, A. S. Brody

Related journal papers:

J. M. Reinhardt, N. D. D'Souza, and E. A. Hoffman. Accurate Measurement of Intra-Thoracic Airways. IEEE Trans. Medical Imaging, vol. 16, no. 6, pp. 820-827, 1997. (details)
O. Saba, E. A. Hoffman, and J. M. Reinhardt. Maximizing Quantitative Accuracy of Lung Airway Lumen and Wall Measures Obtained from X-ray CT Imaging. J. Applied Physiology, vol. 95, pp. 1063-1095, 2003. (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)
C. P. Rooney, M. Suter, G. McLennan, M. Donnelley, J. M. Reinhardt, A. Delsing, E. A. Hoffman, and J. Zabner. Laser Fluorescence Bronchoscopy for Detection of Fluorescent Reporter Genes in Airway Epithelia. Gene Therapy, vol. 9, no. 23, pp. 1639-1644, 2002. (details)
D. Aykac, E. A. Hoffman, G. McLennan, and J. M. Reinhardt. Segmentation and analysis of the human airway tree from three-dimensional X-Ray CT images. IEEE Trans. Medical Imaging, vol. 22, no. 8, pp. 940-950, 2003. (details)

Related conference papers:

N. D. D'Souza, J. M. Reinhardt, and E. A. Hoffman. ASAP: Interactive Quantification of 2D Airway Geometry. In E. A. Hoffman, ed., Proc. SPIE Conf. Medical Imaging, vol. 2709, pp. 180-196, Newport Beach, CA, 1996. (details)
R. A. Chiplunkar, J. M. Reinhardt, and E. A. Hoffman. Segmentation and Quantification of the Primary Human Airway Tree from 3-D X-ray CT. In E. A. Hoffman, ed., Proc. SPIE Conf. Medical Imaging, vol. 3033, pp. 403-414, Newport Beach, CA, 1997. (details)
J. M. Reinhardt, S. A. Raab, N. D. D'Souza, and E. A. Hoffman. Intra-thoracic airway measurement: Ex vivo validation. In E. A. Hoffman, ed., Proc. SPIE Conf. Medical Imaging, vol. 3033, pp. 69-80, Newport Beach, CA, 1997. (details)
J. M. Reinhardt, W. Park, E. A. Hoffman, and M. Sonka. Intrathoracic airway wall detection using graph search with CT scanner PSF information. In E. A. Hoffman, ed., Proc. SPIE Conf. Medical Imaging, vol. 3033, pp. 93-101, Newport Beach, CA, 1997. (details)
O. Saba, E. A. Hoffman, and J. M. Reinhardt. Computed tomographic-based estimation of airway size with correction for scanned plane tilt angle. In C.-T. Chen and A. V. Clough, eds., Proc. SPIE Conf. Medical Imaging, vol. 3978, pp. 58-66, San Diego, CA, 2000. (details)

Related theses:

O. Saba. Accurate estimation of airway geometry with tilt angle estimation from 2D HRCT slices. MS thesis, The University of Iowa, Iowa City, IA, 2000. (details)
D. Aykac. Segmentation and analysis of the human airway tree from 3D X-ray CT images. MS thesis, The University of Iowa, Iowa City, IA, 2000. (details)
D. Gopalakrishnan. Color analysis of the human airway wall. MS thesis, The University of Iowa, Iowa City, IA, 2003. (details)
P. Kellen. Computer automated image analysis of fluoroscopic swallowing studies. MS 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)