Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/2887
Title: Medical Image Compression for Telemedicine Applications
Authors: Nasıfoğlu, Hüseyin
Eroğul, Osman
10187
Keywords: Medical image compression
Lossy
Lossless
Region of interest
Telemedicine
PACS
Issue Date: Jun-2019
Publisher: Iris Publishers
Source: Huseyin Nasifoglu, Osman Erogul. Medical Image Compression for Telemedicine Applications. Arch Biomed Eng & Biotechnol. 2(1): 2019. ABEB.MS.ID.000527
Abstract: Transferring medical images from one center to another is common use in telemedicine. These high-quality images stored in DICOM format require higher bandwidth for transmission and large storage space in PACS (Picture Archiving and Communication System) memory. Therefore, reducing the image size by preserving diagnostic information has become a need. In this sense, medical image compression is a technique that overcomes both transmission and storage cost by suggesting lossy and lossless compression algorithms. There are numerous compression methods developed for region-based studies generally used in the radiography, computed tomography (CT) and magnetic resonance (MR) images. In this review, information about region based medical image compression and recent studies with different approaches are expressed.
URI: https://irispublishers.com/abeb/fulltext/medical-image-compression-for-telemedicine-applications.ID.000527.php
https://hdl.handle.net/20.500.11851/2887
ISSN: 2687-8100
Appears in Collections:Biyomedikal Mühendisliği Bölümü / Department of Biomedical Engineering

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