A Novel Algorithm for Identification of Body Parts in Medical Images

  • Jongan Park
  • Gwangwon Kang
  • Sungbum Pan
  • Pankoo Kim
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4223)


In this paper, we introduce an algorithm based on energy information obtained from Wavelet Transform for classification of medical images according to imaging modalities and body parts. Various medical image retrieval systems are available today that classify images according to imaging modalities, orientations, body parts or diseases. Generally these are limited to either some specific body part or some specific disease. Further, almost all of them deal with the DICOM imaging format. Our technique, on the other hand, can be applied to any of the imaging formats. The results are shown for JPEG images in addition to DICOM imaging format. We have used two types of wavelets and we have shown that energy obtained in either case is quite distinct for each of the body part.


Body Part Image Retrieval High Resolution Compute Tomography JPEG Image DICOM Image 
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

  • Jongan Park
    • 1
  • Gwangwon Kang
    • 1
  • Sungbum Pan
    • 1
  • Pankoo Kim
    • 1
  1. 1.College of Electronics & Information EngineeringChosun UniversityGwangjuKorea

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