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Proceedings Paper

The compression and storage method of the same kind of medical images: DPCM
Author(s): Xiuying Zhao; Jingyuan Wei; Linpei Zhai; Hong Liu
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Paper Abstract

Medical imaging has started to take advantage of digital technology, opening the way for advanced medical imaging and teleradiology. Medical images, however, require large amounts of memory. At over 1 million bytes per image, a typical hospital needs a staggering amount of memory storage (over one trillion bytes per year), and transmitting an image over a network (even the promised superhighway) could take minutes--too slow for interactive teleradiology. This calls for image compression to reduce significantly the amount of data needed to represent an image. Several compression techniques with different compression ratio have been developed. However, the lossless techniques, which allow for perfect reconstruction of the original images, yield modest compression ratio, while the techniques that yield higher compression ratio are lossy, that is, the original image is reconstructed only approximately. Medical imaging poses the great challenge of having compression algorithms that are lossless (for diagnostic and legal reasons) and yet have high compression ratio for reduced storage and transmission time. To meet this challenge, we are developing and studying some compression schemes, which are either strictly lossless or diagnostically lossless, taking advantage of the peculiarities of medical images and of the medical practice. In order to increase the Signal to Noise Ratio (SNR) by exploitation of correlations within the source signal, a method of combining differential pulse code modulation (DPCM) is presented.

Paper Details

Date Published: 27 October 2006
PDF: 8 pages
Proc. SPIE 6047, Fourth International Conference on Photonics and Imaging in Biology and Medicine, 60471N (27 October 2006); doi: 10.1117/12.710889
Show Author Affiliations
Xiuying Zhao, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Graduate School of the Chinese Academy of Science (China)
Aviation Univ. of Air Force (China)
Jingyuan Wei, Bai Qiuen Medicinal Ministry, Jilin Univ. (China)
Linpei Zhai, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Hong Liu, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Graduate School of the Chinese Academy of Science (China)
Aviation Univ. of Air Force (China)


Published in SPIE Proceedings Vol. 6047:
Fourth International Conference on Photonics and Imaging in Biology and Medicine

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