Quantitative susceptibility map reconstruction from MR phase data using bayesian regularization: Validation and application to brain imaging

Magnetic Resonance in Medicine

Volumn 63, Issue 1, 2010, Pages 194-206

  De Rochefort, Ludovic ^a,b   Liu, Tian ^a   Kressler, Bryan ^a   Liu, Jing ^a   Spincemaille, Pascal ^a   Lebon, Vincent ^b   Wu, Jianlin ^c   Wang, Yi ^a  

^a WEILL CORNELL MEDICAL COLLEGE   (United States)

^b Molecular Imaging Research Center   (France)

^c DALIAN MEDICAL UNIVERSITY   (China)

Author keywords

Brain iron; Inverse problem; Magnetic field; Regularization; Susceptibility quantification

Indexed keywords

BRAIN MAPPING; DIAGNOSIS; IMAGE RECONSTRUCTION; IRON; MAGNETIC FIELDS; MAGNETIC SUSCEPTIBILITY;

BAYESIAN REGULARIZATION; BRAIN IRON; ILL-POSED INVERSE PROBLEM; MAGNETIC FIELD INHOMOGENEITIES; MAP RECONSTRUCTION; MULTIPLE STRUCTURES; REGULARIZATION; SUSCEPTIBILITY MAPS;

INVERSE PROBLEMS;

IRON;

ARTICLE; BAYES THEOREM; BRAIN HEMORRHAGE; BRAIN REGION; CALCULATION; CAVERNOUS HEMANGIOMA; CLINICAL ARTICLE; CONTRAST ENHANCEMENT; FEMALE; HUMAN; IMAGE ANALYSIS; IMAGE RECONSTRUCTION; IN VITRO STUDY; MAGNETIC FIELD; MALE; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PHANTOM; QUANTITATIVE ANALYSIS; RETROSPECTIVE STUDY; SIMULATION; VALIDATION PROCESS;

EID: 73349121926     PISSN: 07403194     EISSN: 15222594     Source Type: Journal    
DOI: 10.1002/mrm.22187     Document Type: Article

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