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Proceedings Paper

The impact of lossless image compression to radiographs
Author(s): Thomas M. Lehmann; Jürgen Abel; Claudia Weiss
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Paper Abstract

The increasing number of digital imaging modalities results in data volumes of several Tera Bytes per year that must be transferred and archived in a common-sized hospital. Hence, data compression is an important issue for picture archiving and communication systems (PACS). The effect of lossy image compression is frequently analyzed with respect to images from a certain modality supporting a certain diagnosis. However, novel compression schemes have been developed recently allowing efficient but lossless compression. In this study, we compare the lossless compression schemes embedded in the tagged image file format (TIFF), graphics interchange format (GIF), and Joint Photographic Experts Group (JPEG 2000 II) with the Borrows-Wheeler compression algorithm (BWCA) with respect to image content and origin. Repeated measures ANOVA was based on 1.200 images in total. Statistically significant effects (p < 0,0001) of compression scheme, image content, and image origin were found. Best mean compression factor of 3.5 (2.272 bpp) is obtained applying BTW to secondarily digitized radiographs of the head, while the lowest factor of 1,05 (7.587 bpp) resulted from the TIFF packbits algorithm applied to pelvis images captured digitally. Over all, the BWCA is slightly but significantly more effective than JPEG 2000. Both compression schemes reduce the required bits per pixel (bpp) below 3. Also, secondarily digitized images are more compressible than the directly digital ones. Interestingly, JPEG outperforms BWCA for directly digital images regardless of image content, while BWCA performs better than JPEG on secondarily digitized radiographs. In conclusion, efficient lossless image compression schemes are available for PACS.

Paper Details

Date Published: 16 March 2006
PDF: 8 pages
Proc. SPIE 6145, Medical Imaging 2006: PACS and Imaging Informatics, 614516 (16 March 2006); doi: 10.1117/12.651697
Show Author Affiliations
Thomas M. Lehmann, Aachen Univ. of Technology (Germany)
Jürgen Abel, Ingenieurbüro Dr. Abel GmbH (Germany)
Claudia Weiss, Aachen Univ. of Technology (Germany)

Published in SPIE Proceedings Vol. 6145:
Medical Imaging 2006: PACS and Imaging Informatics
Steven C. Horii; Osman M. Ratib, Editor(s)

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