Accurate airway wall estimation using phase congruency

Authors:
Raúl San José Estépar;George G. Washko;Edwin K. Silverman;John J. Reilly;Ron Kikinis;Carl-Fredrik Westin
Affiliations:
Surgical Planning Lab, Brigham and Women’s Hospital, Boston, MA;Pulmonary and Critical Care Division, Brigham and Women’s Hospital, Boston, MA;Pulmonary and Critical Care Division, Brigham and Women’s Hospital, Boston, MA;Pulmonary and Critical Care Division, Brigham and Women’s Hospital, Boston, MA;Surgical Planning Lab, Brigham and Women’s Hospital, Boston, MA;Surgical Planning Lab, Brigham and Women’s Hospital, Boston, MA
Venue:
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
Year:
2006

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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.