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Accurate Airway Wall Estimation Using Phase CongruencyR. San Jose Estepar, George G. Washko, Edwin K. Silverman, John J. Reilly, Ron Kikinis, C.-F. WestinNinth International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI'06) Pages 125-134 October, 2006 AbstractQuantitative 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.
ReferenceSan Jose Estepar R, Washko GG, Silverman EK, Reilly JJ, Kikinis R, Westin CF. Accurate airway wall estimation using phase congruency. In Ninth International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI'06), Lecture Notes in Computer Science 4191. Copenhagen, Denmark, 2006;125-134.Bibtex entry
@InProceedings{sanjoseMICCAI06,
author = {Raul {San Jose Estepar} and George G. Washko and Edwin K.
Silverman and John J. Reilly and Ron Kikinis and
Carl-Fredrik Westin},
title = {Accurate Airway Wall Estimation Using Phase Congruency},
booktitle = {Ninth International Conference on Medical Image Computing
and Computer-Assisted Intervention (MICCAI'06)},
month = {October},
year = {2006},
pages = {125--134},
series = {Lecture Notes in Computer Science 4191},
address = {Copenhagen, Denmark}
}
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