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Accurate Airway Wall Estimation Using Phase Congruency

  • Raúl San José Estépar
  • George G. Washko
  • Edwin K. Silverman
  • John J. Reilly
  • Ron Kikinis
  • Carl-Fredrik Westin
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4191)

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.

Keywords

Chronic Obstructive Pulmonary Disease Point Spread Function Local Phase Airway Wall Reconstruction Kernel 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Raúl San José Estépar
    • 1
  • George G. Washko
    • 2
  • Edwin K. Silverman
    • 2
    • 3
  • John J. Reilly
    • 2
  • Ron Kikinis
    • 1
  • Carl-Fredrik Westin
    • 1
  1. 1.Surgical Planning LabBrigham and Women’s HospitalBoston
  2. 2.Pulmonary and Critical Care DivisionBrigham and Women’s HospitalBoston
  3. 3.Channing LaboratoryBrigham and Women’s HospitalBoston

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