Automated quality control protocol for MR spectra of brain tumors

Magnetic Resonance in Medicine

Volumn 59, Issue 6, 2008, Pages 1274-1281

  Wright, Alan J ^a   Arús, Carles ^b,c   Wijnen, Jannie P ^d   Moreno Torres, Angel ^c,e   Griffiths, John R ^f   Celda, Bernardo ^g   Howe, Franklyn A ^a  

^a ST GEORGE'S UNIVERSITY OF LONDON   (United Kingdom)

^b UNIVERSITAT AUTÒNOMA DE BARCELONA   (Spain)

^c BIOMATERIALES Y NANOMEDICINA CIBER BBN   (Spain)

^d RADBOUD UNIVERSITY MEDICAL CENTER   (Netherlands)

^e Centre Diagnòstic Pedralbes   (Spain)

^f CANCER RESEARCH UK CAMBRIDGE RESEARCH INSTITUTE   (United Kingdom)

^g UNIVERSITY OF VALENCIA   (Spain)

Author keywords

Brain tumors; MRS; Quality control

Indexed keywords

AUTOMATION; BRAIN; CLASSIFICATION (OF INFORMATION); DECISION SUPPORT SYSTEMS; DIAGNOSIS; INDEPENDENT COMPONENT ANALYSIS; LARGE DATASET; LEAST SQUARES APPROXIMATIONS; PATTERN RECOGNITION SYSTEMS; QUALITY ASSURANCE; SIGNAL TO NOISE RATIO; SUPPORT VECTOR MACHINES; TUMORS;

AUTOMATED PATTERN RECOGNITION; BRAIN TUMORS; DECISION SUPPORT SYSTEM (DSS); LEAST SQUARES SUPPORT VECTOR MACHINES; PATTERN RECOGNITION ALGORITHMS; QUALITY CONTROL PROTOCOL; SIGNAL TO NOISE; SPECTRUM QUALITIES;

QUALITY CONTROL;

ACCURACY; ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BRAIN TUMOR; DECISION SUPPORT SYSTEM; DIAGNOSTIC ACCURACY; DIAGNOSTIC ERROR; HUMAN; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; QUALITATIVE ANALYSIS; QUALITY CONTROL; SIGNAL NOISE RATIO; SUPPORT VECTOR MACHINE; TUMOR DIAGNOSIS;

EID: 44949220290     PISSN: 07403194     EISSN: 15222594     Source Type: Journal    
DOI: 10.1002/mrm.21533     Document Type: Article

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