@article {473476,
	title = {Accurate airway wall estimation using phase congruency.},
	journal = {Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted InterventionMedical image computing and computer-assisted intervention : MICCAI ... International Conference },
	volume = {9},
	year = {2006},
	pages = {125-134},
	type = {Evaluation Study},
	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.},
	author = {San Jose Est{\'e}par, Ra{\'u}l and Washko, George G and Silverman, Edwin K and Reilly, John J and Kikinis, Ron and Westin, Carl-Fredrik}
}