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Artificial Life Models in Lung CTs

  • Sorin Cristian Cheran
  • Gianfranco Gargano
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3907)

Abstract

With the present paper we introduce a new Computer Assisted Detection method for Lung Cancer in CT images. The algorithm is based on several sub-modules: 3D Region Growing, Active Contour And Shape Models, Centre of Maximal Balls, but the core of our approach are Biological Models of ants known as Artificial Life models. In the first step of the algorithm images undergo a 3D region growing procedure for identifying the ribs cage; then Active Contour Models are used in order to build a confined area for the incoming ants that are deployed to make clean and accurate reconstruction of the bronchial and vascular tree, which is removed from the image just before checking for nodules.

Keywords

Vascular Tree Active Contour Model Computer Tomography Image Computer Assist Detection 512x512 Pixel 
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

  • Sorin Cristian Cheran
    • 1
  • Gianfranco Gargano
    • 2
  1. 1.Dipartimento di Informatica, Associatione Sviluppo PiemonteIstituto Nazionale di Fisica Nucleare, Sezione di Torino, Universita’ degli Studi di Torino 
  2. 2.Dipartimento di FisicaIstituto Nazionale di Fisica Nucleare, Sezione di Bari, Universita’ degli Studi di Bari 

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