Title :
Image compression applied to MRI images
Author :
Raghavan, S. ; Chatterjee, S. ; Waldron, M.B.
Author_Institution :
Biomed. Eng. Center, Ohio State Univ., Columbus, OH, USA
Abstract :
Data compression techniques for magnetic resonance imaging (MRI) are discussed. The images are taken from the coronal section of the brain. Each image requires a large amount of storage and collectively a patient´s record may require many images to be stored. Alternative methods to compress the data are discussed and these are applied to MRI images. The two methods discussed are the run-length and pyramid coding schemes. Results for both schemes are given. The mask images are seen to respond well to compression using run-length coding, and pyramid encoding is not as effective in binary images. The pyramid coding scheme has the advantage of making it possible to work on gray-level images and to reconstruct them from the encoded format
Keywords :
biomedical NMR; data compression; patient diagnosis; picture processing; binary images; brain coronal section; data compression techniques; gray-level images; magnetic resonance imaging; mask images; pyramid coding scheme; run-length scheme; Biomedical engineering; Computer languages; Encoding; Image coding; Image reconstruction; Image storage; Magnetic resonance imaging; Streaming media; Sun; Workstations;
Conference_Titel :
Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
Conference_Location :
Seattle, WA
DOI :
10.1109/IEMBS.1989.95856
