A signal transformational framework for breaking the noise floor and its applications in MRI

Journal of Magnetic Resonance

Volumn 197, Issue 2, 2009, Pages 108-119

  Koay, Cheng Guan ^a   Özarslan, Evren ^a   Basser, Peter J ^a  

^a EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH AND HUMAN DEVELOPMENT   (United States)

Author keywords

Gaussian; MR noise floor; MRI; NonCentral Chi; Rician; Signal transformation

Indexed keywords

GAUSSIAN; MR NOISE FLOOR; MRI; NONCENTRAL CHI; RICIAN; SIGNAL TRANSFORMATION;

CURVE FITTING; DIFFUSION; FLOORS; MAGNETIC RESONANCE IMAGING; MONTE CARLO METHODS; TRELLIS CODES;

GAUSSIAN DISTRIBUTION;

ALGORITHM; ARTICLE; ARTIFACT; CHI SQUARE DISTRIBUTION; DIFFUSION WEIGHTED IMAGING; IMAGE PROCESSING; METHODOLOGY; MONTE CARLO METHOD; NORMAL DISTRIBUTION; NUCLEAR MAGNETIC RESONANCE IMAGING; STATISTICAL MODEL; SYSTEM ANALYSIS;

ALGORITHMS; ARTIFACTS; CHI-SQUARE DISTRIBUTION; DIFFUSION MAGNETIC RESONANCE IMAGING; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MODELS, STATISTICAL; MONTE CARLO METHOD; NORMAL DISTRIBUTION; PROBABILITY THEORY;

EID: 62149109697     PISSN: 10907807     EISSN: 10960856     Source Type: Journal    
DOI: 10.1016/j.jmr.2008.11.015     Document Type: Article

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