Exploring texture-based parameters for noninvasive detection of diffuse liver diseases and liver cancer from ultrasound images

  • Authors:

  • Delia Mitrea;Sergiu Nedevschi;Calin Cenan;Monica Lupsor;Radu Badea

  • Affiliations:

  • Computer-Science Department, Technical University of Cluj-Napoca, Romania;Computer-Science Department, Technical University of Cluj-Napoca, Romania;Computer-Science Department, Technical University of Cluj-Napoca, Romania;Department of Ultrasonography, University of Medicine and Pharmacy, Cluj-Napoca, Romania;Department of Ultrasonography, University of Medicine and Pharmacy, Cluj-Napoca, Romania

  • Venue:
  • MMACTEE'06 Proceedings of the 8th WSEAS international conference on Mathematical methods and computational techniques in electrical engineering
  • Year:
  • 2006

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Abstract

Non-invasive, image based detection of diseases is one of the most important issues in the nowadays research of biomedical images, because it prevents from some serious problems, that could be generated by the invasive techniques and could be dangerous for the patients. Texture is a fundamental visual property of the tissue providing a lot of information concerning its pathological state. Thus, we developed specific methods for texture analysis and recognition, for automatic and semi-automatic detection of some liver diseases from ultrasound images, in order to assist the medical personal in establishing a diagnostic in non-invasive way. We also performed some studies concerning the relevance of these parameters in the case of various liver diseases.