A Novel Scheme in Lossless Compression of Medical Image

DOI

10.2991/mmme-16.2016.72How to use a DOI?

Keywords

the image processing; the lossless compression; the boundary extraction

Abstract

With the arrival of digital era as well as networked era, it is inevitable for medical field to realize digitization and network. Nowadays medical imaging has been in widespread use. However, the increasing number of im-ages and their large-size character put much pressure on the storage space. What's more, the above factors are burdensome on network. In addition, they also burden the system when many doctors access to the system, which results in congestion. All of those have a negative effect on hospitals' efficiency. Thus, there is an ur-gent need to solve the above mentioned problems fundamentally. We aim to save time on the wire and save the storage space by increasing the calculation cost of the terminals. According to the analysis of the experi-mental data, this algorithm is capable of compressing the medical images which are in line with DICOM standard in a lossless form. Furthermore, this method has helped us get a better compression ratio. We com-press 200 medical images realistically at the compression ratio of 3.85. In this way, the scheme can reduce the consumption of the network bandwidth and improve the transmission rate nearly 4 times, which saves time on network. It just increases the cost of the computing on the terminal.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Hongying Han
AU  - Yanguang Liu
AU  - Qiuling Wang
AU  - Yan Li
AU  - Tengfei Li
AU  - Jianfeng Chu
AU  - Haiou Huang
PY  - 2016/10
DA  - 2016/10
TI  - A Novel Scheme in Lossless Compression of Medical Image
BT  - Proceedings of the 2016 4th International Conference on Mechanical Materials and Manufacturing Engineering
PB  - Atlantis Press
SP  - 319
EP  - 322
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmme-16.2016.72
DO  - 10.2991/mmme-16.2016.72
ID  - Han2016/10
ER  -