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.
This work has been funded by grants R01 HL075478, R01 HL68926 and P41-RR13218.
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Keywords
- Chronic Obstructive Pulmonary Disease
- Point Spread Function
- Local Phase
- Airway Wall
- Reconstruction Kernel
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© 2006 Springer-Verlag Berlin Heidelberg
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Estépar, R.S.J., Washko, G.G., Silverman, E.K., Reilly, J.J., Kikinis, R., Westin, CF. (2006). Accurate Airway Wall Estimation Using Phase Congruency. In: Larsen, R., Nielsen, M., Sporring, J. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006. MICCAI 2006. Lecture Notes in Computer Science, vol 4191. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11866763_16
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DOI: https://doi.org/10.1007/11866763_16
Publisher Name: Springer, Berlin, Heidelberg
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