Title :
Reversible compression of MR images
Author :
Midtvik, Marius ; Hovig, Ingvil
Author_Institution :
Dept. of Inf., Oslo Univ., Norway
Abstract :
Methods for reversible coding can be classified according to the organization of the source model as either static, semi-adaptive, or adaptive. Magnetic resonance (MR) images have different statistical characteristics in the foreground and the background and separation is thus a promising path for reversible MR image compression. A new reversible compression method, based on static source models for foreground and background separately, is presented. The method is nonuniversal and uses contextual information to exploit the fact that entropy and bit rate are reduced by increasing the statistical order of the model. This paper establishes a realistic level of expectation regarding the bit rate in reversible MR image compression, in general, and the bit rate using static modeling, in particular. The experimental results show that compression using the new method can give bit rates comparable to the best existing reversible methods.
Keywords :
biomedical MRI; data compression; entropy; image coding; medical image processing; modelling; statistics; MR images; bit rate; magnetic resonance imaging; medical diagnostic imaging; reversible coding methods; reversible compression; source model organization; static modeling; statistical order; Bit rate; Context modeling; Data structures; Decoding; Decorrelation; Entropy coding; Image coding; Magnetic resonance; Magnetic resonance imaging; Probability; Brain; Humans; Image Processing, Computer-Assisted; Magnetic Resonance Imaging;
Journal_Title :
Medical Imaging, IEEE Transactions on