Code-excited linear predictive coding of multispectral MR images

Jian-Hong Hu; Yao Wang; Patrick Cahill

doi:10.1117/12.233267

27 February 1996 Code-excited linear predictive coding of multispectral MR images

Jian-Hong Hu, Yao Wang, Patrick Cahill

Proceedings Volume 2727, Visual Communications and Image Processing '96; (1996) https://doi.org/10.1117/12.233267
Event: Visual Communications and Image Processing '96, 1996, Orlando, FL, United States

Abstract

This paper reports a multispectral code excited linear predictive coding method for the compression of well-registered multispectral MR images. Different linear prediction models and the adaptation schemes have been compared. The method which uses forward adaptive autoregressive (AR) model has proven to achieve a good compromise between performance, complexity and robustness. This approach is referred to as the MFCELP method. Given a set of multispectral images, the linear predictive coefficients are updated over non-overlapping square macroblocks. Each macro-block is further divided into several micro-blocks and, the best excitation signals for each microblock are determined through an analysis-by-synthesis procedure. To satisfy the high quality requirement for medical images, the error between the original images and the synthesized ones are further specified using a vector quantizer. The MFCELP method has been applied to 26 sets of clinical MR neuro images (20 slices/set, 3 spectral bands/slice, 256 by 256 pixels/image, 12 bits/pixel). It provides a significant improvement over the discrete cosine transform (DCT) based JPEG method, a wavelet transform based embedded zero-tree wavelet (EZW) coding method, as well as the MSARMA method we developed before.

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Jian-Hong Hu, Yao Wang, and Patrick Cahill "Code-excited linear predictive coding of multispectral MR images", Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); https://doi.org/10.1117/12.233267

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KEYWORDS

Autoregressive models

Multispectral imaging

Magnetic resonance imaging

Image compression

Quantization

Statistical modeling

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