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3D Fuzzy Liver Tumor Segmentation

  • Paweł Badura
  • Ewa Pietka
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7339)

Abstract

A semi-automated method for segmentation of liver nodules in Computed Tomography studies is described in this paper. The application is part of a liver cancer computer-aided diagnosis (CAD) system. Its main body consists of the three-dimensional anisotropic diffusion filtering and the adaptive region growing, supported by the fuzzy inference system. Such a workflow enables elimination of noise within the image data, enhances nodule region boundaries, and cuts ,,segmentation leaks”. The outcome is interactively presented to the physician with a possibility left to make manual adjustments. The system has been evaluated using a database of 17 abdominal Computed Tomography studies including 30 various liver nodules outlined by the radiologist, yielding 77% effectiveness (23 cases).

Keywords

segmentation liver tumor anisotropic diffusion fuzzy inference system 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Paweł Badura
    • 1
  • Ewa Pietka
    • 1
  1. 1.Faculty of Biomedical EngineeringSilesian University of TechnologyGliwicePoland

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