A statistical approach to SENSE regularization with arbitrary k-space trajectories

Magnetic Resonance in Medicine

Volumn 60, Issue 2, 2008, Pages 414-421

  Ying, Leslie ^a   Liu, Bo ^a   Steckner, Michael C ^b   Wu, Gaohong ^c   Wu, Min ^d   Li, Shi Jiang ^c  

^a University of Wisconsin Milwaukee   (United States)

^b Toshiba Medical Research Institute USA Inc   (United States)

^c MEDICAL COLLEGE OF WISCONSIN   (United States)

^d UNIVERSITY OF WISCONSIN MILWAUKEE   (United States)

Author keywords

Huber function; MAP estimation; Markov random field; Non cartesian; Regularization; SENSE

Indexed keywords

CONJUGATE GRADIENT METHOD; IMAGE ENHANCEMENT; MARKOV PROCESSES; SPACE FLIGHT;

HUBER FUNCTION; MAP ESTIMATION; MARKOV RANDOM FIELDS; NON-CARTESIAN; REGULARIZATION; SENSE;

SIGNAL TO NOISE RATIO;

ARTICLE; IMAGE QUALITY; IMAGE RECONSTRUCTION; IN VIVO STUDY; MATHEMATICAL ANALYSIS; NUCLEAR MAGNETIC RESONANCE IMAGING; PHANTOM; SIGNAL NOISE RATIO; STATISTICAL ANALYSIS; THEORY;

EID: 49049115524     PISSN: 07403194     EISSN: 15222594     Source Type: Journal    
DOI: 10.1002/mrm.21665     Document Type: Article

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