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M. Suter, J. Tschirren, J. M. Reinhardt, M. Sonka, E. A. Hoffman, W. E. Higgins, and G. McLennan. Evaluation of the human airway with multi-detector X-ray computed tomography and optical imaging. Physiological Measurement, vol. 25, no. 4, pp. 837-847, 2004.

Abstract: Defining the healthy human airway is important in enhancing our understanding of pulmonary disease states such as inflammation and cancer. The structure of the human airway, both static and dynamic, can be assessed using multi-detector CT (MDCT) scanning. This modality also allows for the evaluation of structures outside of the airway. The airway wall can be directly visualized using CCD chip high-resolution color optical imaging through endoscopy allowing bronchial wall evaluation by traditional biopsy methods, as well as by newer optically based strategies. We suggest that these two imaging modalities, MDCT and optical imaging, provide complementary information about the normal airway, and the airway in various diseases. Methods for evaluating the human airway using MDCT images are presented facilitating automatic airway segmentation, branchpoint finding and airway dimension analysis. The airway wall color is objectively evaluated as an important surrogate for airway wall inflammation and cancer formation, and the integration of the color endoscopic information into the MDCT scan data set is currently ongoing. The amalgamation of these two digital imaging modalities appears increasingly useful for enabling biopsy techniques, and for relating structure and function of the airway. In addition, these developments may be progressively more useful in understanding the normal airway structure and function, for defining airway diseases patterns and for guiding biopsy and therapeutic procedures.

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Keywords: airways bronchoscopy

Other publications by: M. Suter, J. Tschirren, J. M. Reinhardt, M. Sonka, E. A. Hoffman, W. E. Higgins, G. McLennan

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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)
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Related conference papers:

R. D. Swift, W. E. Higgins, E. A. Hoffman, G. McLennan, and J. M. Reinhardt. Automatic axis generation for 3D virtual-bronchoscopic image assessment. In E. A. Hoffman, ed., Proc. SPIE Conf. Medical Imaging, vol. 3337, pp. 73-84, San Diego, CA, 1998. (details)
A. Kiraly, W. E. Higgins, E. A. Hoffman, G. McLennan, and J. M. Reinhardt. 3D human airway segmentation for virtual bronchoscopy. In A. V. Clough and C.-T. Chen, eds., Proc. SPIE Conf. Medical Imaging, vol. 4683, pp. 16-29, San Diego, CA, 2002. (details)
D. Gopalakrishnan, G. McLennan, M. Donnelley, A. Delsing, M. Suter, D. Flaherty, J. Zabner, E. A. Hoffman, and J. M. Reinhardt. Color bronchoscopic analysis of the human airway tree. In A. V. Clough and C.-T. Chen, eds., Proc. SPIE Conf. Medical Imaging, vol. 4683, pp. 341-351, San Diego, CA, 2002. (details)
M. Suter, J. M. Reinhardt, M. Sonka, W. E. Higgins, E. A. Hoffman, and G. McLennan. Three-dimensional true color topographical analysis of the pulmonary airways. In A. Amini and A. Manduca, eds., Proc. SPIE Conf. Medical Imaging, vol. 5369, pp. 189-198, San Diego, CA, 2004. (details)
A. Kiraly, J. M. Reinhardt, E. A. Hoffman, G. McLennan, and W. E. Higgins. Virtual bronchoscopy for quantitative airway analysis. In A. Amini and A. Manduca, eds., Proc. SPIE Conf. Medical Imaging, vol. 5746, pp. 369-383, San Diego, CA, 2005. (details)

Related theses:

D. Gopalakrishnan. Color analysis of the human airway wall. MS thesis, The University of Iowa, Iowa City, IA, 2003. (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)
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)
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