IRIS-HSVD algorithm for automatic quantitation of in vivo 31P MRS

Journal of Magnetic Resonance

Volumn 196, Issue 1, 2009, Pages 23-32

  Wang, Xin ^a   Lee, Jing Huei ^a,b  

^a University of Cincinnati   (United States)

^b UNIVERSITY OF CINCINNATI   (United States)

Author keywords

31P; Automation; Hankel singular value decomposition; Iteration; Magnetic resonance spectroscopy; Quantification

Indexed keywords

31P; APPLICATIONS.; AUTOMATIC ALGORITHMS; AUTOMATIC METHODS; BIOMEDICAL RESEARCHES; BRAIN METABOLITES; BROAD LINES; DATA POST PROCESSING; HANKEL SINGULAR VALUE DECOMPOSITION; HEALTHY SUBJECTS; IN-VIVO; INTERFERENCE SIGNALS; ITERATION; MONTE CARLO; MRI SCANNERS; PARAMETER OPTIMIZATIONS; PRIOR KNOWLEDGES; QUANTIFICATION; RAPID DEVELOPMENTS; SIGNAL-TO-NOISE RATIOS; SIMULATED DATUMS; SPACE BASED;

ATOMS; CHEMICAL COMPOUNDS; DATA PROCESSING; MAGNETIC RESONANCE; MAGNETIC RESONANCE SPECTROSCOPY; PARTICLE DETECTORS; PRECIPITATION (CHEMICAL); RECONNAISSANCE AIRCRAFT; RESONANCE; SCANNING; SIGNAL TO NOISE RATIO; SINGULAR VALUE DECOMPOSITION; STRUCTURAL OPTIMIZATION;

ADAPTIVE ALGORITHMS;

PHOSPHORUS; PHOSPHORUS DERIVATIVE;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BRAIN LEVEL; HUMAN; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN CHEMISTRY; HUMANS; MAGNETIC RESONANCE SPECTROSCOPY; PATTERN RECOGNITION, AUTOMATED; PHOSPHORUS COMPOUNDS; PHOSPHORUS ISOTOPES; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 57049134595     PISSN: 10907807     EISSN: 10960856     Source Type: Journal    
DOI: 10.1016/j.jmr.2008.09.024     Document Type: Article

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