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Proceedings Paper

Comparison of analysis methods for airway quantification
Author(s): Benjamin L. Odry; Atilla P. Kiraly; Carol L. Novak; David P. Naidich
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Paper Abstract

Diseased airways have been known for several years as a possible contributing factor to airflow limitation in Chronic Obstructive Pulmonary Diseases (COPD). Quantification of disease severity through the evaluation of airway dimensions - wall thickness and lumen diameter - has gained increased attention, thanks to the availability of multi-slice computed tomography (CT). Novel approaches have focused on automated methods of measurement as a faster and more objective means that the visual assessment routinely employed in the clinic. Since the Full-Width Half-Maximum (FWHM) method of airway measurement was introduced two decades ago [1], several new techniques for quantifying airways have been detailed in the literature, but no approach has truly become a standard for such analysis. Our own research group has presented two alternative approaches for determining airway dimensions, one involving a minimum path and the other active contours [2, 3]. With an increasing number of techniques dedicated to the same goal, we decided to take a step back and analyze the differences of these methods. We consequently put to the test our two methods of analysis and the FWHM approach. We first measured a set of 5 airways from a phantom of known dimensions. Then we compared measurements from the three methods to those of two independent readers, performed on 35 airways in 5 patients. We elaborate on the differences of each approach and suggest conclusions on which could be defined as the best one.

Paper Details

Date Published: 23 February 2012
PDF: 12 pages
Proc. SPIE 8315, Medical Imaging 2012: Computer-Aided Diagnosis, 83152R (23 February 2012); doi: 10.1117/12.912420
Show Author Affiliations
Benjamin L. Odry, Siemens Corporate Research (United States)
Atilla P. Kiraly, Siemens Corporate Research (United States)
Carol L. Novak, Siemens Corporate Research (United States)
David P. Naidich, New York Univ. Langone Medical Ctr. (United States)

Published in SPIE Proceedings Vol. 8315:
Medical Imaging 2012: Computer-Aided Diagnosis
Bram van Ginneken; Carol L. Novak, Editor(s)

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