Image compression applied to MRI images

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...

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Bibliographic Details
Published inImages of the Twenty-First Century. Proceedings of the Annual International Engineering in Medicine and Biology Society pp. 526 - 527 vol.2
Main Authors Raghavan, S., Chatterjee, S., Waldron, M.B.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1989
Subjects
Biomedical engineering
Computer languages
Encoding
Image coding
Image reconstruction
Image storage
Magnetic resonance imaging
Streaming media
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Summary: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.< >
DOI:10.1109/IEMBS.1989.95856