An adaptive field rule for non-parametric MRI intensity inhomogeneity estimation algorithm

Neurocomputing

Volumn 72, Issue 16-18, 2009, Pages 3556-3569

  García Sebastián, Maite ^a   Isabel González, Ana ^a   Graña, Manuel ^a  

^a UNIVERSITY OF THE BASQUE COUNTRY UPV EHU   (Spain)

Author keywords

Intensity inhomogeneity correction; MRI; Non parametric methods

Indexed keywords

APRIORI; BIAS FIELD; CLASS MEAN; CLASSIFICATION ERRORS; CONVERGENCE PROPERTIES; CORRECTED IMAGE; ENERGY FUNCTIONS; ESTIMATION ALGORITHM; GRADIENT DESCENT; IMAGE DATA; INTENSITY INHOMOGENEITY; INTENSITY INHOMOGENEITY CORRECTION; LEARNING RULES; MODEL STATE; MRI; MULTIPLICATIVE NOISE; NON-PARAMETRIC; NON-PARAMETRIC METHODS; PIECEWISE CONSTANT; SELFORGANIZING MAP; SIGNAL INTENSITIES; SMOOTHNESS CONSTRAINTS; SPATIAL DISTRIBUTION; STATE-OF-THE-ART ALGORITHMS; VOXEL INTENSITIES;

ALGORITHMS; CONFORMAL MAPPING; CONVERGENCE OF NUMERICAL METHODS; ERROR CORRECTION; MAGNETIC RESONANCE IMAGING;

PARAMETER ESTIMATION;

ANALYTICAL ERROR; ARTICLE; BRAIN SIZE; CLASSIFICATION ALGORITHM; HUMAN; IMAGE PROCESSING; INTERMETHOD COMPARISON; MATHEMATICAL MODEL; NOISE; NONPARAMETRIC TEST; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; SIMULATION;

EID: 69249212356     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2008.12.034     Document Type: Article

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