Medical image compression in teleradiology using low-bit-rate communication networks

Man-Bae Kim; Bo-Sik Yeoun; Yong-Duk Cho; Mun-Sup Song; Jae-Sug Lee; Dong-Kook Kim

doi:10.1117/12.251281

16 September 1996 Medical image compression in teleradiology using low-bit-rate communication networks

Man-Bae Kim, Bo-Sik Yeoun, Yong-Duk Cho, Mun-Sup Song, Jae-Sug Lee, Dong-Kook Kim

Proceedings Volume 2952, Digital Compression Technologies and Systems for Video Communications; (1996) https://doi.org/10.1117/12.251281
Event: Advanced Imaging and Network Technologies, 1996, Berlin, Germany

Abstract

Teleradiology is defined as the practice of radiology at a distance. Medical images are acquired from one location and are transmitted to one or more distant sites where they are displayed for a diagnosis. Timely availability of medical images via a variety of communication networks is one of the primary goals of teleradiology. In this paper, we propose a medical image compression that can be effectively utilized in the teleradiology system using low-bit rate communication networks. For this purpose, we make use of regions of interest (ROIs) that may be clinically important in medical images. Our study shows that our proposed compression method can reduce the transmission time significantly if the ratio of ROI in the image is small. For example, if the twenty percent of an image belongs to ROI, (ROI ratio equals 0.2), the compression ratio is increased by the scale of about three compared with lossless compression. Accordingly the transmission time is reduced by the same scale. As well, by preserving the clinically important regions, the risk of wrong diagnosis is much reduced compared with lossy compression.

Citation Download Citation

Man-Bae Kim, Bo-Sik Yeoun, Yong-Duk Cho, Mun-Sup Song, Jae-Sug Lee, and Dong-Kook Kim "Medical image compression in teleradiology using low-bit-rate communication networks", Proc. SPIE 2952, Digital Compression Technologies and Systems for Video Communications, (16 September 1996); https://doi.org/10.1117/12.251281

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