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Proceedings Paper

Reproducibility of airway wall thickness measurements
Author(s): Michael Schmidt; Jan-Martin Kuhnigk; Stefan Krass; Michael Owsijewitsch M.D.; Bartjan de Hoop; Heinz-Otto Peitgen
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Paper Abstract

Airway remodeling and accompanying changes in wall thickness are known to be a major symptom of chronic obstructive pulmonary disease (COPD), associated with reduced lung function in diseased individuals. Further investigation of this disease as well as monitoring of disease progression and treatment effect demand for accurate and reproducible assessment of airway wall thickness in CT datasets. With wall thicknesses in the sub-millimeter range, this task remains challenging even with today's high resolution CT datasets. To provide accurate measurements, taking partial volume effects into account is mandatory. The Full-Width-at-Half-Maximum (FWHM) method has been shown to be inappropriate for small airways1,2 and several improved algorithms for objective quantification of airway wall thickness have been proposed.1-8 In this paper, we describe an algorithm based on a closed form solution proposed by Weinheimer et al.7 We locally estimate the lung density parameter required for the closed form solution to account for possible variations of parenchyma density between different lung regions, inspiration states and contrast agent concentrations. The general accuracy of the algorithm is evaluated using basic tubular software and hardware phantoms. Furthermore, we present results on the reproducibility of the algorithm with respect to clinical CT scans, varying reconstruction kernels, and repeated acquisitions, which is crucial for longitudinal observations.

Paper Details

Date Published: 9 March 2010
PDF: 10 pages
Proc. SPIE 7624, Medical Imaging 2010: Computer-Aided Diagnosis, 76241O (9 March 2010); doi: 10.1117/12.844453
Show Author Affiliations
Michael Schmidt, Fraunhofer MEVIS (Germany)
Jan-Martin Kuhnigk, Fraunhofer MEVIS (Germany)
Stefan Krass, Fraunhofer MEVIS (Germany)
Michael Owsijewitsch M.D., German Cancer Research Ctr. (Germany)
Univ. Hospital Heidelberg (Germany)
Bartjan de Hoop, Univ. Medical Ctr. Utrecht (Netherlands)
Heinz-Otto Peitgen, Fraunhofer MEVIS (Germany)

Published in SPIE Proceedings Vol. 7624:
Medical Imaging 2010: Computer-Aided Diagnosis
Nico Karssemeijer; Ronald M. Summers, Editor(s)

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