Automatic Ultrasound Image Analysis in Hashimoto’s Disease

  • Robert Koprowski
  • Zygmunt Wrobel
  • Witold Zieleznik
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6256)

Abstract

The paper presents diagnostics of parenchyma echogenicity and organ dimensions in thyroid examinations in the case of Hashimoto’s disease using image processing methods. In the event of discovering focal changes within the thyroid, a method for their pathology evaluation was suggested. The detector proposed operates fully automatically; using the information on the image texture it detects an artery in the image, which fulfils the role of reference point, and based on it - detects the area of interest.

Keywords

Grey Level Thyroid Lobe Image Processing Method Texture Detector Colour Contour 
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 2010

Authors and Affiliations

  • Robert Koprowski
    • 1
  • Zygmunt Wrobel
    • 1
  • Witold Zieleznik
    • 2
  1. 1.Faculty Of Computer Science And Materials Science, Institute Of Computer Science, Department Of Biomedical Computer SystemsUniversity Of SilesiaSosnowiecPoland
  2. 2.Internist’s OfficeBytomPoland

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