27 October 2006 The compression and storage method of the same kind of medical images: DPCM
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Proceedings Volume 6047, Fourth International Conference on Photonics and Imaging in Biology and Medicine; 60471N (2006); doi: 10.1117/12.710889
Event: Fourth International Conference on Photonics and Imaging in Biology and Medicine, 2005, Tianjin, China
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.
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Xiuying Zhao, Jingyuan Wei, Linpei Zhai, Hong Liu, "The compression and storage method of the same kind of medical images: DPCM", Proc. SPIE 6047, Fourth International Conference on Photonics and Imaging in Biology and Medicine, 60471N (27 October 2006); doi: 10.1117/12.710889; https://doi.org/10.1117/12.710889
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KEYWORDS
Image compression

Medical imaging

Quantization

Image quality

Image processing

Distortion

Image transmission

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