title: [Medical image compression: a review].
abstract: 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.
authors.affiliation: Grupo de Investigación Bioingenium, Facultad de Medicina, Universidad Nacional de Colombia, Bogotá, D.C., Colombia.
authors.forename: Tatiana
authors.initials: T
authors.lastname: Noreña
authors.forename: Eduardo
authors.initials: E
authors.lastname: Romero
mesh_terms: D000465:Algorithms; D044962:Data Compression / Q000379:methods*; D003952:Diagnostic Imaging / Q000379:methods*; D006801:Humans; D016247:Information Storage and Retrieval; D014796:Visual Perception / Q000502:physiology