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
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;
Conference_Titel :
Data Compression Conference (DCC), 2010
Conference_Location :
Snowbird, UT
Print_ISBN :
978-1-4244-6425-8
Electronic_ISBN :
1068-0314
DOI :
10.1109/DCC.2010.74
