Paper
12 June 1986 Comparison Of Data Compression Schemes For Medical Images
Ki H. Noh, Janice M. Jenkins
Author Affiliations +
Proceedings Volume 0626, Application of Optical Instrumentation in Medicine XIV and Picture Archiving and Communication Systems; (1986) https://doi.org/10.1117/12.975420
Event: Application of Optical Instrumentation in Medicine XIV and Picture Archiving and Communication Systems (PACS IV) for Medical Applications, 1986, Newport Beach, CA, United States
Abstract
Medical images acquired and stored digitally continue to pose a major problem in the area of picture archiving and transmission. The need for accurate reproduction of such images, which constitute patient medical records, and the medico-legal problems of possible loss of information has led us to examine the suitability of data compression schemes for several different medical image modalities. We have examined both reversible coding and irreversible coding as methods of image for-matting and reproduction. In reversible coding we have tested run-length coding and arithmetic coding on image bit planes. In irreversible coding, we have studied transform coding, linear predictive coding, and block truncation coding and their effects on image quality versus compression ratio in several image modalities. In transform coding, we have applied discrete Fourier coding, discrete cosine coding, discrete sine transform, and Walsh-Hadamard transform to images in which a subset of the transformed coefficients were retained and quantized. In linear predictive coding, we used a fixed level quantizer. In the case of block truncation coding, the first and second moments were retained. Results of all types of irreversible coding for data compression were unsatisfactory in terms of reproduction of the original image. Run-length coding was useful on several bit planes of an image but not on others. Arithmetic coding was found to be completely reversible and resulted in up to 2 to 1 compression ratio.
© (1986) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ki H. Noh and Janice M. Jenkins "Comparison Of Data Compression Schemes For Medical Images", Proc. SPIE 0626, Application of Optical Instrumentation in Medicine XIV and Picture Archiving and Communication Systems, (12 June 1986); https://doi.org/10.1117/12.975420
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Cited by 5 scholarly publications.
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KEYWORDS
Data compression

Image compression

Medical imaging

Binary data

X-rays

Quantization

Medicine

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