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Comparison of statistical methods in MR imaging
Author(s) -
Godtliebsen Fred,
Spjsøtvoll Emil
Publication year - 1991
Publication title -
international journal of imaging systems and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.359
H-Index - 47
eISSN - 1098-1098
pISSN - 0899-9457
DOI - 10.1002/ima.1850030106
Subject(s) - computer science , artificial intelligence , gaussian , simple (philosophy) , filter (signal processing) , gaussian filter , window (computing) , image (mathematics) , computer vision , image processing , algorithm , gaussian blur , pattern recognition (psychology) , image restoration , physics , philosophy , epistemology , quantum mechanics , operating system
The problem of recovering the true underlying scene from a noisy image is considered. Several methods are compared empirically by applying them to magnetic resonance (MR) images. It turns out that a simple method, the Gaussian window filter, gives good results. This method requires only “instantaneous” processing.