MRI Image Compression by Using Recognition of Region of Disease


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 5, No. 10, pp. 2704-2712, Oct. 1998
10.3745/KIPSTE.1998.5.10.2704,   PDF Download:

Abstract

In this paper , a MRI image compression technique, which allocates bits effectively by using lossless coding for region having important information to decide disease and lossy coding for the rest, is proposed. In the proposed method, for MRI images needed to recognize disk disease, we recognize region having important objects by using the characteristics of disease. As the recognized region is important to decide whether disease exists or not, it is compressed by lossless coding and the rest is compressed by lossy coding. Also for the region compressed by lossy coding, we can obtain fine reconstructed images without blocking effect by adopting fractal coding in wavelet transform domain.


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Cite this article
[IEEE Style]
K. H. Soon, B. S. Ho, P. K. Houm, "MRI Image Compression by Using Recognition of Region of Disease," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 5, no. 10, pp. 2704-2712, 1998. DOI: 10.3745/KIPSTE.1998.5.10.2704.

[ACM Style]
Kim Hyun Soon, Bae Sung Ho, and Park Kil Houm. 1998. MRI Image Compression by Using Recognition of Region of Disease. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 5, 10, (1998), 2704-2712. DOI: 10.3745/KIPSTE.1998.5.10.2704.