@article{a5f487604874406ab997f2fba033802b,
title = "The current role of image compression standards in medical imaging",
abstract = "With the increasing utilization of medical imaging in clinical practice and the growing dimensions of data volumes generated by various medical imaging modalities, the distribution, storage, and management of digital medical image data sets requires data compression. Over the past few decades, several image compression standards have been proposed by international standardization organizations. This paper discusses the current status of these image compression standards in medical imaging applications together with some of the legal and regulatory issues surrounding the use of compression in medical settings.",
keywords = "DICOM, HEVC, Image compression, JPEG, JPEG-LS, JPEG-XR, JPEG2000, Medical imaging, Standards",
author = "Feng Liu and Miguel Hernandez-Cabronero and Victor Sanchez and Marcellin, {Michael W.} and Ali Bilgin",
note = "Funding Information: This work was supported in part by the National Institutes of Health (NIH)/National Cancer Institute (NCI) under grant 1U01CA198945. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the NCI or the NIH. The authors acknowledge the NCI and the NIH, and their critical role in the creation of the free publicly available LIDC/IDRI Database used in this study. The results shown here are in part based upon data generated by the TCGA Research Network: http://cancergenome.nih.gov/. Publisher Copyright: {\textcopyright} 2017 by the authors.",
year = "2017",
month = oct,
day = "19",
doi = "10.3390/info8040131",
language = "English (US)",
volume = "8",
journal = "Information (Switzerland)",
issn = "2078-2489",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "4",
}