Compression of 2-D biomedical images

Christine Cavaro-Menard (1) , Amine Naït-Ali (2) , Olivier Déforges (3) , Marie Babel (4)

1 LISA - Laboratoire d'Ingéniérie des Systèmes Automatisés
2 LISSI - Laboratoire Images, Signaux et Systèmes Intelligents
3 IETR - Institut d'Électronique et des Technologies du numéRique
4 IETR - Institut d'Electronique et de Télécommunications de Rennes

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.

Domains: Signal and Image processing; Signal and Image Processing

Christine Cavaro-Menard, Amine Naït-Ali, Olivier Déforges, Marie Babel. Compression of 2-D biomedical images. Compression of Biomedical Images and Signals, ISTE-Wiley, pp.155-186, 2008, Digital Signal Processing. ⟨hal-00278779⟩