Airway Segmentation, Skeletonization, and Tree Matching to Improve Registration of 3D CT Images with Large Opacities in the Lungs

  • Duván Alberto Gómez Betancur
  • Anna Fabijańska
  • Leonardo Flórez-Valencia
  • Alfredo Morales Pinzón
  • Eduardo Enrique Dávila Serrano
  • Jean-Christophe Richard
  • Maciej Orkisz
  • Marcela Hernández Hoyos
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9972)

Abstract

In this work, we address the registration of pulmonary images, representing the same subject, with large opaque regions within the lungs, and with possibly large displacements. We propose a hybrid method combining alignment based on gray levels and landmarks within the same cost function. The landmarks are nodes of the airway tree obtained by specially developed segmentation and skeletonization algorithms. The former uses the random walker approach, whereas the latter exploits the minimum spanning tree constructed by the Dijkstra’s algorithm, in order to detect end-points and bifurcations. Airway trees from different images are matched by a modified best-first-search algorithm with a specially designed distance function. The proposed method was evaluated on computed-tomography images of subjects with acute respiratory distress syndrome, acquired at significantly different mechanical ventilation conditions. It achieved better results than registration based only on gray levels, but also better than hybrid registration using a standard airway-segmentation method.

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Duván Alberto Gómez Betancur
    • 1
  • Anna Fabijańska
    • 2
  • Leonardo Flórez-Valencia
    • 3
  • Alfredo Morales Pinzón
    • 1
    • 4
  • Eduardo Enrique Dávila Serrano
    • 4
  • Jean-Christophe Richard
    • 4
  • Maciej Orkisz
    • 4
  • Marcela Hernández Hoyos
    • 1
  1. 1.Systems and Computing Engineering Department, School of EngineeringUniversidad de Los AndesBogotáColombia
  2. 2.Institute of Applied Computer ScienceŁódź University of TechnologyŁódźPoland
  3. 3.Facultad de IngenieríaPontificia Universidad JaverianaBogotáColombia
  4. 4.Univ Lyon, INSA-Lyon, Université Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206LyonFrance

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