Abstract

NORENA, Tatiana  and  ROMERO, Eduardo. Medical image compression: a review. Biomédica [online]. 2013, vol.33, n.1, pp.137-151. ISSN 0120-4157.  https://doi.org/10.7705/biomedica.v33i1.804.

Modern medicine is an increasingly complex activity , based on the evidence ; it consists of information from multiple sources : medical record text , sound recordings , images and videos generated by a large number of devices . Medical imaging is one of the most important sources of information since they offer comprehensive support of medical procedures for diagnosis and follow-up . However , the amount of information generated by image capturing gadgets quickly exceeds storage availability in radiology services , generating additional costs in devices with greater storage capacity . Besides , the current trend of developing applications in cloud computing has limitations, even though virtual storage is available from anywhere, connections are made through internet . In these scenarios the optimal use of information necessarily requires powerful compression algorithms adapted to medical activity needs . In this paper we present a review of compression techniques used for image storage , and a critical analysis of them from the point of view of their use in clinical settings.

Keywords : Image processing, computer-assisted; data compression; computing methodologies.

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