A novel algorithm for identification of body parts in medical images

Authors:
Jongan Park;Gwangwon Kang;Sungbum Pan;Pankoo Kim
Affiliations:
College of Electronics & Information Engineering, Chosun University, Gwangju, Korea;College of Electronics & Information Engineering, Chosun University, Gwangju, Korea;College of Electronics & Information Engineering, Chosun University, Gwangju, Korea;College of Electronics & Information Engineering, Chosun University, Gwangju, Korea
Venue:
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Year:
2006

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Computer Vision and Image Understanding - Special issue on content-based access for image and video libraries

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Abstract

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.