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Lung Segmentation on Postero-anterior Digital Chest Radiographs Using Active Contours

  • Isaac Iglesias
  • Pablo G. Tahoces
  • Miguel Souto
  • Anxo Martínez de Alegría
  • María J. Lado
  • Juan J. Vidal
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3138)

Abstract

A computerized pulmonary segmentation based on the detection of oriented edges was performed in postero-anterior (PA) digital radiography (DR) images. To further improve detection of lung contours, a method based on the use of active contours models was developed. First, the technique calculates a set of reference lines to determine the relative position of the lungs in the image. Then, vertical and horizontal rectangular regions of interest (ROIs) are studied to identify the preliminary edge. These points are an approximation to the lung edges that are adjusted using the active contours models. We studied the influence of the different parameters of the active contours on the final result over 30 DR images. Results prove that the active contour models, with selected parameters, can be used to improve the results of a given segmentation scheme.

Keywords

Active Contour Digital Radiography Active Contour Model Initial Contour Segmentation Scheme 
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 2004

Authors and Affiliations

  • Isaac Iglesias
    • 1
  • Pablo G. Tahoces
    • 2
  • Miguel Souto
    • 3
  • Anxo Martínez de Alegría
    • 3
  • María J. Lado
    • 4
  • Juan J. Vidal
    • 3
  1. 1.Laboratory for Radiologic Image ResearchUniversity of SantiagoSantiago
  2. 2.Department of Electronics and Computer ScienceUniversity of SantiagoSantiago
  3. 3.Department of RadiologyComplejo Hospitalario Universitario de Santiago (CHUS), University of SantiagoSantiago
  4. 4.Department of Computer ScienceUniversity of VigoVigo

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