Reconstruction of magnetic resonance imaging by three-dimensional dual-dictionary learning

Magnetic Resonance in Medicine

Volumn 71, Issue 3, 2014, Pages 1285-1298

  Song, Ying ^a,b   Zhu, Zhen ^c   Lu, Yang ^b   Liu, Qiegen ^b   Zhao, Jun ^a,c,d  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b AARHUS UNIVERSITY   (Denmark)

^c TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

^d GE HEALTHCARE   (Denmark)

Author keywords

compressed sensing; dictionary learning; dual dictionary; magnetic resonance imaging

Indexed keywords

BIOMEDICAL SIGNAL PROCESSING; COMPRESSED SENSING; DATA ACQUISITION; IMAGE CODING; IMAGE QUALITY; IMAGE SEGMENTATION; MAGNETISM; RESONANCE; SIGNAL TO NOISE RATIO;

DATA ACQUISITION SPEED; DICTIONARY LEARNING; NUMERICAL EXPERIMENTS; PEAK SIGNAL TO NOISE RATIO; PRIORI INFORMATION; RECONSTRUCTION METHOD; RECONSTRUCTION QUALITY; SPATIAL CORRELATIONS;

MAGNETIC RESONANCE IMAGING;

ARTICLE; HUMAN; IMAGE QUALITY; K SPACE; LEARNING ALGORITHM; NUCLEAR MAGNETIC RESONANCE IMAGING; RADIOLOGICAL PARAMETERS; SIGNAL NOISE RATIO; THREE DIMENSIONAL DUAL DICTIONARY LEARNING; ALGORITHM; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; FEASIBILITY STUDY; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; FEASIBILITY STUDIES; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 84894456165     PISSN: 07403194     EISSN: 15222594     Source Type: Journal    
DOI: 10.1002/mrm.24734     Document Type: Article

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