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.<>


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    Title :

    Reconstructing magnetic resonance spectroscopic image using spatial domain prior


    Contributors:
    Stokely, E.M. (author) / Twieg, D. (author)


    Publication date :

    1994-01-01


    Size :

    448245 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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