DocumentCode
2189777
Title
Robust Detection and Lossless Compression of the Foreground in Magnetic Resonance Images
Author
Corvetto, Andrés ; Ruedin, Ana ; Acevedo, Daniel
Author_Institution
Dept. de Comput., Univ. de Buenos Aires, Buenos Aires, Argentina
fYear
2010
fDate
24-26 March 2010
Firstpage
529
Lastpage
529
Abstract
Medical imaging is crucial for early detection and diagnosis of illnesses. The increasing amount of high resolution scans being done every day requires efficient compression algorithms. A magnetic resonance image (MRI) consists of a series of many cuts or slices. Viewed as a 3D image, it contains a 3D figure surrounded by background. This background is not clinically relevant.
Keywords
biomedical MRI; feature extraction; image coding; 3D image; compression algorithms; high resolution scans; illnesses detection; illnesses diagnosis; lossless compression; magnetic resonance images; robust detection; Arithmetic; Biomedical imaging; Compression algorithms; Data compression; Image coding; Magnetic resonance; Magnetic resonance imaging; Quantization; Robustness; Wavelet transforms; MRI; Rayleigh; background; lossless compression; wavelet;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Compression Conference (DCC), 2010
Conference_Location
Snowbird, UT
ISSN
1068-0314
Print_ISBN
978-1-4244-6425-8
Electronic_ISBN
1068-0314
Type
conf
DOI
10.1109/DCC.2010.74
Filename
5453506
Link To Document