Liver fat quantification using a multi-step adaptive fitting approach with multi-echo GRE imaging

Magnetic Resonance in Medicine

Volumn 72, Issue 5, 2014, Pages 1353-1365

  Zhong, Xiaodong ^a   Nickel, Marcel D ^b   Kannengiesser, Stephan A R ^b   Dale, Brian M ^c   Kiefer, Berthold ^b   Bashir, Mustafa R ^d  

^a SIEMENS CORPORATE RESEARCH   (United States)

^b SIEMENS AG   (Germany)

^c MR R D Collaborations Siemens Healthcare   (United States)

^d DUKE UNIVERSITY MEDICAL CENTER   (United States)

Author keywords

Dixon; Fat quantification; Iron quantification; Liver; Water fat separation

Indexed keywords

LIVER; NONLINEAR EQUATIONS; PETROLEUM RESERVOIR EVALUATION; PHANTOMS; SIGNAL TO NOISE RATIO; SPECTROSCOPY;

CLINICAL EVALUATION; CLINICAL VALIDATIONS; DIXON; FIELD HOMOGENEITY; HEPATIC STEATOSIS; NUMERICAL PHANTOMS; SPECTRAL MODELING; THEORY AND METHODS;

NUMERICAL METHODS;

ARTICLE; CASE REPORT; CONTROLLED STUDY; FATTY LIVER; HEPATOBILIARY PARAMETERS; HEPATOBILIARY RADIOGRAPHY; HUMAN; IMAGE RECONSTRUCTION; IN VIVO STUDY; INFRARED SPECTROSCOPY; LIPID ANALYSIS; MULTI STEP ADAPTIVE FITTING APPROACH; MULTIECHO GRADIENT RECALLED ECHO IMAGING; MULTIMODAL IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; PROSPECTIVE STUDY; PROTON DENSITY FAT FRACTION; RELAXATION TIME; SIGNAL NOISE RATIO; SUBCUTANEOUS FAT; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; IMAGE ENHANCEMENT; IMAGE QUALITY; NUCLEAR MAGNETIC RESONANCE IMAGING; PROCEDURES; THREE DIMENSIONAL IMAGING; VALIDATION STUDY;

COMPUTER SIMULATION; FATTY LIVER; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; PHANTOMS, IMAGING; PROSPECTIVE STUDIES;

EID: 84907937894     PISSN: 07403194     EISSN: 15222594     Source Type: Journal    
DOI: 10.1002/mrm.25054     Document Type: Article

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