Abstract
Software System for Efficient Lossless Compression of Medical Images
Highlights
On a yearly basis, based on diagnostic devices such as CT and MRI, the overall volume of imaging data in medical institutions can reach several terabytes, directly affecting the way how the data is stored and the amount of storage capabilities [1, 2]
Our software was extensively tested against the compression efficiency and computing time as shown in this paper proving its deployment in medical applications where images need to be delivered with minimum delay using limited communication throughput
Lossless compression techniques in medical applications should be used because even a minimal distortion in the data should be encoded and not be lost
Summary
On a yearly basis, based on diagnostic devices such as CT and MRI, the overall volume of imaging data in medical institutions can reach several terabytes, directly affecting the way how the data is stored and the amount of storage capabilities [1, 2]. That is why it is really important to adopt efficient compression techniques and to inspect all possible redundancies in data, both in spectral, spatial and temporal domain to achieve cost reduction This is especially important for the upcoming era of ubiquitous, embedded, portable and low power computing devices [35]. In order to make it more practical, we revised it with an effective heuristic optimization described in this paper that strictly follows statistical characteristics of medical image data. This optimization helped us develop a complete software tool for medical image compression, decompression and viewing with practical execution time and throughput. Tehnički vjesnik 26, 4(2019), 995-1000 proposal with halved execution time, making it useful for practical uses in modern hospital information and image archival systems
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