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.<>
Reconstructing magnetic resonance spectroscopic image using spatial domain prior
Proceedings of 1st International Conference on Image Processing ; 3 ; 6-10 vol.3
1994-01-01
448245 byte
Conference paper
Electronic Resource
English
Reconstructing Magnetic Resonance Spectroscopic Images Using Spatial Domain Priors
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