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What is Medical Image Coding

Chapter 29
Handbook of Research on Advanced Techniques in Diagnostic Imaging and Biomedical Applications
Refers to image compression as the application of data compression on digital images. In effect, the objective is to reduce redundancy of the image data in order to be able to store or transmit data in an efficient form. Image compression can be lossy or lossless. Lossy compression methods, especially when used at low bit rates, introduce compression artifacts. Lossless compression methods may also be preferred for high value content, such as medical imagery or image scans made for archival purposes.
Published in Chapter:
Advanced ROI Coding Techniques for Medical Imaging
Charalampos Doukas (University of the Aegean, Greece) and Ilias Maglogiannis (University of Central Greece, Greece)
Copyright: © 2009 |Pages: 13
DOI: 10.4018/978-1-60566-314-2.ch029
Abstract
Medical images are often characterized by high complexity and consist of high resolution image files, introducing thus several issues regarding their handling. Current compression schemes produce high compression rates, sacrificing however the image quality and leading this way to unenviable examination. Region of Interest (ROI) coding has been introduced as an efficient technique for addressing such issues, by performing advanced image compression and preserving quality in diagnostically critical regions. This chapter discusses the basic ROI approaches and provides an overview of state of the art ROI coding techniques for medical images along with corresponding results.
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