Improving susceptibility mapping using a threshold-based K-space/image domain iterative reconstruction approach

Magnetic Resonance in Medicine

Volumn 69, Issue 5, 2013, Pages 1396-1407

  Tang, J ^a   Liu, S ^a   Neelavalli, J ^b   Cheng, Y C N ^b   Buch, S ^a   Haacke, E M ^a,b,c  

^a MCMASTER UNIVERSITY   (Canada)

^b WAYNE STATE UNIVERSITY   (United States)

^c The MRI Institute for Biomedical Research   (United States)

Author keywords

oxygen saturation; susceptibility mapping; susceptibility weighted imaging

Indexed keywords

INVERSE PROBLEMS; MAPPING;

GEOMETRIC INFORMATION; ITERATIVE APPROACH; ITERATIVE RECONSTRUCTION; OXYGEN SATURATION; SINGLE ORIENTATIONS; SUSCEPTIBILITY MAPPING; SUSCEPTIBILITY MAPS; SUSCEPTIBILITY WEIGHTED IMAGING;

ITERATIVE METHODS;

ARTICLE; ARTIFACT; BRAIN; BRAIN MAPPING; CAUDATE NUCLEUS; CEREBROSPINAL FLUID; DIAGNOSTIC ACCURACY; IMAGE RECONSTRUCTION; NOISE; NUCLEAR MAGNETIC RESONANCE IMAGING; RED NUCLEUS; SIMULATION; SUBSTANTIA NIGRA; THALAMUS; VESSEL; WHITE MATTER;

ALGORITHMS; BRAIN; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84876465907     PISSN: 07403194     EISSN: 15222594     Source Type: Journal    
DOI: 10.1002/mrm.24384     Document Type: Article

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