Statistical noise analysis in GRAPPA using a parametrized noncentral Chi approximation model

Magnetic Resonance in Medicine

Volumn 65, Issue 4, 2011, Pages 1195-1206

  Aja Fernández, Santiago ^a   Tristán Vega, Antonio ^a   Hoge, W Scott ^b  

^a UNIVERSITY OF VALLADOLID   (Spain)

^b HARVARD MEDICAL SCHOOL   (United States)

Author keywords

GRAPPA; noncentral Chi; parallel imaging; statistical noise analysis

Indexed keywords

DEGREES OF FREEDOM (MECHANICS); MAGNETIC RESONANCE IMAGING; SIGNAL TO NOISE RATIO;

GRAPPA; IMAGE PROCESSING ALGORITHM; INTERPOLATION COEFFICIENTS; NONCENTRAL CHI; NUMBER OF DEGREES OF FREEDOM; PARALLEL IMAGING; SIGNAL TO NOISE RATIO ESTIMATION; STATISTICAL NOISE;

BIOMEDICAL SIGNAL PROCESSING;

ARTICLE; CORRELATION COEFFICIENT; FOURIER TRANSFORMATION; GENERALIZED AUTOCALIBRATED PARTIALLY PARALLEL ACQUISITION; IMAGE ANALYSIS; IMAGE RECONSTRUCTION; INFORMATION PROCESSING; NOISE; NORMAL DISTRIBUTION; NUCLEAR MAGNETIC RESONANCE IMAGING; SIGNAL NOISE RATIO; STATISTICAL ANALYSIS; STATISTICAL DISTRIBUTION; STATISTICAL MODEL; STATISTICAL NOISE ANALYSIS; THEORETICAL MODEL;

EID: 79952797369     PISSN: 07403194     EISSN: 15222594     Source Type: Journal    
DOI: 10.1002/mrm.22701     Document Type: Article

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