Paper
16 September 1994 New approach to inter-slice coding of magnetic resonance images
Nader Mohsenian, Aria Nosratinia, Bede Liu, Michael T. Orchard
Author Affiliations +
Proceedings Volume 2308, Visual Communications and Image Processing '94; (1994) https://doi.org/10.1117/12.185909
Event: Visual Communications and Image Processing '94, 1994, Chicago, IL, United States
Abstract
In this paper we present an inter-slice coding scheme for magnetic resonance (MR) image sequences which is based on a triangular matching technique. This scheme provides a powerful tool for MR image sequence compression since there exists a great deal of deformation between contiguous slices of 3D MR data. The proposed inter-slice coding scheme takes advantage of triangular deformation to remove redundancies in the third dimension. A residual image is formed by estimating and compensating for the triangular deformation in the previous slice, and subtracting this from the original slice. The DCT is used to de-correlate the residue signal. DC components are encoded losslessly using DPCM and Huffman codes. Different banks of entropy-constraint scalar quantizers are designed for the AC components. Each AC coefficient is encoded using an appropriate scalar codebook subject to a bit-allocation procedure. The new inter-slice coding scheme is tested on an MR heart sequence. It shows superior results over intra-slice and other inter-slice schemes. The compressed images displayed on the monitor are imperceptible from the original at our lowest bit-rates.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nader Mohsenian, Aria Nosratinia, Bede Liu, and Michael T. Orchard "New approach to inter-slice coding of magnetic resonance images", Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); https://doi.org/10.1117/12.185909
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KEYWORDS
Magnetic resonance imaging

Image compression

Magnetism

Computed tomography

Signal to noise ratio

Heart

Digital filtering

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