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Compression of Biomedical Images and Signals (2008) 155-186
Compression of 2-D biomedical images
Christine Cavaro-Menard 1, Amine Naït-Ali 2, Olivier Déforges 3, Marie Babel 3
(2008-05)

On a daily basis, large amounts of medical images are acquired using 2D acquisition imaging systems (e.g., vertebra and lung digital X rays, mammography). Moreover, it is possible to compress temporal sequences (i.e. 2D+t), volume sequences (i.e. 3D) or even spatio-temporal sequences (i.e. 3D+t) by encoding each image separately and independently of all others (i.e. in clinical routine, physicians do not always keep all images but instead select the most relevant and accurate ones). Thus, 2D compression is widely applied to medical images. It is also included in the DICOM format (described in Chapter 4), within various PACS. This chapter is a review of some basic 2D compression methods which are frequently applied to medical images. Although, the common compression techniques and the traditional standards of compression do apply to medical images, some specific methods applied to specific images have been specially developed in order to optimize both the compression rates and the quality of the re-constructed image.
1:  Laboratoire d'Ingéniérie des Systèmes Automatisés (LISA)
CNRS : FRE2656 – Université d'Angers
2:  Laboratoire Image, Signaux et Systèmes Intelligents (LISSI - EA 3956)
Université Paris-Est Créteil Val-de-Marne (UPEC)
3:  Institut d'Electronique et de Télécommunications de Rennes (IETR)
CNRS : UMR6164 – Université de Rennes 1 – Institut National des Sciences Appliquées (INSA) - Rennes – SUPELEC
Image
Engineering Sciences/Signal and Image processing

Computer Science/Signal and Image Processing
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