DocumentCode :
782909
Title :
Adaptive entropy constrained transform coding of magnetic resonance image sequences
Author :
Mohsenian, Nader ; Nosratinia, Aria ; Liu, Bede ; Orchard, Michael T.
Author_Institution :
Adv. Digital Video Labs., IBM Corp., Endicott, NY, USA
Volume :
42
Issue :
6
fYear :
1995
fDate :
12/1/1995 12:00:00 AM
Firstpage :
2309
Lastpage :
2316
Abstract :
Compression of magnetic resonance images (MRI) has proved to be more difficult than other medical imaging modalities, and attempts at utilizing interslice dependencies for more efficient coding have so far met with little success. On the other hand, the increasing amounts of MRI data generated every day in hospitals makes this particular data compression problem very important. In this paper, we present an adaptive, entropy constrained transform coder that also employs a new interslice estimator. Previous attempts at interslice coding of MRI have all used a piecewise uniform, discontinuous translational model. We propose a continuous piecewise affine model for interslice dependencies, whose implementation is performed through a triangle-based matching (TBM) algorithm. The residue frames from the interslice estimator are coded through an entropy constrained quantizer, applied to the block discrete cosine transformed (DCT) residue frame. Given that image statistics vary spatially, the optimal spectral distribution of bits is nonuniform. We address this issue through dividing the image into several “activity” regions. Each activity class will have a separate bank of entropy constrained scalar quantizers (ECSQs) tailored to its particular average statistics. The proposed coder was used to encode a sequence of a human heart. An improvement of almost 1 db over nonadaptive interslice and 0.3 dB over adaptive intraslice coding was obtained
Keywords :
adaptive codes; biomedical NMR; cardiology; data compression; entropy codes; image coding; transform coding; adaptive entropy constrained transform coding; adaptive intraslice coding; average statistics; block discrete cosine transformed residue frame; continuous piecewise affine model; data compression problem; entropy constrained quantizer; human heart; image statistics; interslice dependencies; interslice estimator; magnetic resonance image sequences; magnetic resonance images compression; medical imaging modalities; optimal spectral bits distribution; residue frames; triangle-based matching algorithm; Biomedical imaging; Data compression; Discrete cosine transforms; Entropy; Hospitals; Image coding; Magnetic resonance; Magnetic resonance imaging; Statistical distributions; Transform coding;
fLanguage :
English
Journal_Title :
Nuclear Science, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9499
Type :
jour
DOI :
10.1109/23.489433
Filename :
489433
Link To Document :
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