Functional segmentation of renal DCE-MRI sequences using vector quantization algorithms

Neural Processing Letters

Volumn 34, Issue 1, 2011, Pages 71-85

  Chevaillier, Béatrice ^a   Mandry, Damien ^a,b   Collette, Jean Luc ^a   Claudon, Michel ^a,b   Galloy, Marie Agnès ^a,b   Pietquin, Olivier ^a,b  

^a UMI Georgia Tech CNRS 2958   (France)

^b Nancy Université ^*

Author keywords

Biomedical image processing; Biomedical magnetic resonance imaging; Clustering methods; Image segmentation; Image sequence analysis; Vector quantization

Indexed keywords

ANATOMICAL REGIONS; BIO-MEDICAL IMAGE PROCESSING; BIOMEDICAL MAGNETIC RESONANCE IMAGING; CLUSTERING METHODS; DCE-MRI; DYNAMIC CONTRAST-ENHANCED MAGNETIC RESONANCE IMAGING; FUNCTIONAL INFORMATION; GROUND TRUTH; GROWING NEURAL GAS; IMAGE SEQUENCE ANALYSIS; K-MEANS; MANUAL SEGMENTATION; RESULT EVALUATION; SEMIAUTOMATIC METHODS; SIMILARITY INDICES; TEMPORAL CONTRAST; VECTOR QUANTIZATION ALGORITHMS;

LEARNING ALGORITHMS; MAGNETIC RESONANCE IMAGING; PIXELS; RESONANCE; VECTOR QUANTIZATION;

IMAGE SEGMENTATION;

EID: 80052685301     PISSN: 13704621     EISSN: 1573773X     Source Type: Journal    
DOI: 10.1007/s11063-011-9184-y     Document Type: Article

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