Tissue segmentation and classification of MRSI data using canonical correlation analysis

Magnetic Resonance in Medicine

Volumn 54, Issue 6, 2005, Pages 1519-1529

  Laudadio, Teresa ^a   Pels, Pieter ^b   De Lathauwer, Lieven ^a,c   Van Hecke, Paul ^a   Van Huffel, Sabine ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c CNRS   (France)

Author keywords

Canonical correlation analysis; Classification; Magnetic resonance spectroscopic imaging; Tissue segmentation

Indexed keywords

CLASSIFICATION (OF INFORMATION); CORRELATION METHODS; DATA HANDLING; MAGNETIC RESONANCE; MAGNETIC RESONANCE SPECTROSCOPY; TISSUE;

BIOMEDICAL DATA; CANONICAL CORRELATION ANALYSIS; CORRELATION ANALYSIS; FUNCTIONAL MRI; MAGNETIC RESONANCE SPECTROSCOPIC IMAGING; SPATIAL INFORMATIONS; TISSUE SEGMENTATION; TISSUE TYPING;

SPECTROSCOPIC ANALYSIS;

ACCURACY; APPARATUS; ARTICLE; BELGIUM; CANONICAL ANALYSIS; CLASSIFICATION; CORRELATION ANALYSIS; CORRELATION COEFFICIENT; COVARIANCE; DIAGNOSTIC IMAGING; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE RECONSTRUCTION; IMAGING SYSTEM; INTERMETHOD COMPARISON; MALE; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; PERFORMANCE; SIMULATION; STATISTICAL ANALYSIS; TISSUE TYPING; VARIANCE;

EID: 28444469212     PISSN: 07403194     EISSN: None     Source Type: Journal    
DOI: 10.1002/mrm.20710     Document Type: Article

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