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Reconstructing magnetic resonance spectroscopic image using spatial domain prior

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2 Author(s)
Stokely, E.M. ; Dept. of Biomed. Eng., Alabama Univ., Birmingham, AL, USA ; Twieg, D.B.

Magnetic resonance spectroscopic (MRS) images are low in resolution and often contain low frequency artifacts due to Fourier reconstruction of incomplete sets of data in k (frequency) space. The problem of improving MRS reconstructions can be approached in several ways, resulting in a number of apparently different formulations. These include the extrapolation of missing data samples, and also model-based methods that incorporate prior information from both the spatial and frequency domains. Model-based approaches can be shown to belong to a well-known class of image restoration problems. In the paper, the general MRS image reconstruction problem is reviewed, several approaches to the solution are given, and a particular method is presented that uses finite element models to embed spatial domain priors

Published in:

Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference  (Volume:3 )

Date of Conference:

13-16 Nov 1994

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