Accurate airway wall estimation using phase congruency

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Abstract

Quantitative analysis of computed tomographic (CT) images of the lungs is becoming increasingly useful in the medical and surgical management of subjects with Chronic Obstructive Pulmonary Disease (COPD). Current methods for the assessment of airway wall work well in idealized models of the airway. We propose a new method for airway wall detection based on phase congruency. This method does not rely on either a specific model of the airway or the point spread function of the scanner. Our results show that our method gives a better localization of the airway wall than "full width at a half max" and is less sensitive to different reconstruction kernels and radiation doses. © Springer-Verlag Berlin Heidelberg 2006.

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Estépar, R. S. J., Washko, G. G., Silverman, E. K., Reilly, J. J., Kikinis, R., & Westin, C. F. (2006). Accurate airway wall estimation using phase congruency. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4191 LNCS-II, pp. 125–134). Springer Verlag. https://doi.org/10.1007/11866763_16

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