Quantification of MRS data in the frequency domain using a wavelet filter, an approximated Voigt lineshape model and prior knowledge

NMR in Biomedicine

Volumn 19, Issue 5, 2006, Pages 617-626

  Gillies, P ^a,d   Marshall, Ian ^b,c   Asplund, M ^a,e   Winkler, P ^a,f   Higinbotham, J ^a  

^a EDINBURGH NAPIER UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF EDINBURGH   (United Kingdom)

^c WESTERN GENERAL HOSPITAL   (United Kingdom)

^d HERIOT WATT UNIVERSITY   (United Kingdom)

^e ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

^f UNIVERSITY OF NATURAL RESOURCES AND LIFE SCIENCES   (Austria)

Author keywords

Baseline; Lineshape; MRS; Spectroscopy; Voigt; Wavelet

Indexed keywords

BASELINE COMPONENT; VOIGT LINESHAPE; WAVELET FILTER;

COMPUTER SIMULATION; CURVE FITTING; FREQUENCY DOMAIN ANALYSIS; LEAST SQUARES APPROXIMATIONS; MONTE CARLO METHODS; WAVELET TRANSFORMS;

MAGNETIC RESONANCE SPECTROSCOPY;

ARTICLE; CONTROLLED STUDY; DATA ANALYSIS; DIAGNOSTIC ACCURACY; FILTER; FREQUENCY ANALYSIS; HUMAN; HUMAN EXPERIMENT; MONTE CARLO METHOD; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; PRIORITY JOURNAL; PROTON NUCLEAR MAGNETIC RESONANCE; RADIOLOGICAL PARAMETERS; REFERENCE VALUE; RELIABILITY; SIGNAL NOISE RATIO; STATISTICAL MODEL; VOLUNTEER;

COMPUTER SIMULATION; HUMANS; IMAGE ENHANCEMENT; MAGNETIC RESONANCE SPECTROSCOPY; MATHEMATICS; MODELS, THEORETICAL; MONTE CARLO METHOD; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 33747363982     PISSN: 09523480     EISSN: 10991492     Source Type: Journal    
DOI: 10.1002/nbm.1060     Document Type: Article

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