Robust estimation of spatially variable noise fields

Magnetic Resonance in Medicine

Volumn 62, Issue 2, 2009, Pages 500-509

  Landman, Bennett A ^a   Bazin, Pierre Louis ^b   Smith, Seth A ^c   Prince, Jerry L ^d  

^a Johns Hopkins University   (United States)

^b JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c KENNEDY KRIEGER INSTITUTE   (United States)

^d Johns Hopkins University   (United States)

Author keywords

Diffusion tensor imaging; MRI; Relaxometry; Robust estimation; Spatially variable noise fields

Indexed keywords

CLUSTERING ALGORITHMS; IMAGE ENHANCEMENT; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; MAXIMUM LIKELIHOOD ESTIMATION; MEAN SQUARE ERROR; TENSORS;

ANALYSIS TECHNIQUES; HEURISTIC ANALYSIS; MEAN SQUARED ERROR; NOISE FIELDS; REGION OF INTEREST; RELAXOMETRY; ROBUST ESTIMATION; SPATIAL VARIABILITY;

DIFFUSION TENSOR IMAGING;

ARTICLE; ARTIFACT; CONTROLLED STUDY; DIFFUSION TENSOR IMAGING; IMAGE ANALYSIS; NOISE MEASUREMENT; NUCLEAR MAGNETIC RESONANCE IMAGING; SIMULATION; SPATIALLY VARIABLE NOISE FIELD;

ALGORITHMS; ARTIFACTS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 67749144006     PISSN: 07403194     EISSN: 15222594     Source Type: Journal    
DOI: 10.1002/mrm.22013     Document Type: Article

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