Automatic "pipeline" analysis of 3-D MRI data for clinical trials: Application to multiple sclerosis

IEEE Transactions on Medical Imaging

Volumn 21, Issue 10, 2002, Pages 1280-1291

  Zijdenbos, Alex P ^a   Forghani, Reza ^a   Evans, Alan C ^a  

^a MCGILL UNIVERSITY   (Canada)

Author keywords

Clinical trials; Image segmentation; Magnetic resonance imaging (MRI); Multiple sclerosis (MS); Tissue quantification

Indexed keywords

ALGORITHMS; AUTOMATIC TARGET RECOGNITION; BRAIN; IMAGE ANALYSIS; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; MEDICAL COMPUTING; NEUROLOGY; PATHOLOGY; THREE DIMENSIONAL COMPUTER GRAPHICS;

AUTOMATIC PIPELINE ANALYSIS; CLINICAL TRIALS; HUMAN BRAIN DEVELOPMENT; MULTIPLE SCLEROSIS; NEUROBIOLOGY; THREE DIMENSIONAL MAGNETIC RESONANCE IMAGING; TISSUE QUANTIFICATION;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; BRAIN; CLASSIFICATION; CLINICAL TRIAL; COMPARATIVE STUDY; COMPUTER ANALYSIS; COMPUTER ASSISTED DIAGNOSIS; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; MULTIPLE SCLEROSIS; NUCLEAR MAGNETIC RESONANCE IMAGING; OBSERVER VARIATION; PATHOLOGY; PHASE 3 CLINICAL TRIAL; SYSTEM ANALYSIS; THREE DIMENSIONAL IMAGING; VALIDATION STUDY;

ALGORITHMS; BRAIN; CLINICAL TRIALS; COMPUTING METHODOLOGIES; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MULTIPLE SCLEROSIS; OBSERVER VARIATION; SYSTEMS INTEGRATION;

EID: 0036826508     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2002.806283     Document Type: Article

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