fMRI binary detection of brain activated regions with Graph-Cuts

Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

Volumn , Issue , 2008, Pages 4411-4414

  Coelho, Joana ^a,b   Sanches, João ^a,b   Lauterbach, Martin H ^a  

^a UNIVERSITY OF LISBON   (Portugal)

^b INSTITUTO SUPERIOR TÉCNICO   (Portugal)

Author keywords

Bayes; Denoising; Estimation; Functional MRI; Graph Cuts

Indexed keywords

ACTIVATION ANALYSIS; BIOMEDICAL SIGNAL PROCESSING; CHEMICAL ACTIVATION; COMBINATORIAL OPTIMIZATION; CORRELATION DETECTORS; ESTIMATION; GRAPHIC METHODS; MAGNETIC RESONANCE IMAGING;

BAYES; BLOOD OXYGENATION LEVEL DEPENDENT; DE-NOISING; FUNCTIONAL MAGNETIC RESONANCE IMAGING; FUNCTIONAL MRI; GENERAL LINEAR MODELING; GRAPH CUT; OPTIMIZATION TECHNIQUES;

FUNCTIONAL NEUROIMAGING;

OXYGEN;

ALGORITHM; ARTICLE; BAYES THEOREM; BRAIN; BRAIN MAPPING; COMPUTER PROGRAM; HUMAN; METABOLISM; METHODOLOGY; MONTE CARLO METHOD; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; SIGNAL PROCESSING; STATISTICAL MODEL; THEORETICAL MODEL;

ALGORITHMS; BAYES THEOREM; BRAIN; BRAIN MAPPING; HUMANS; LINEAR MODELS; MAGNETIC RESONANCE IMAGING; MODELS, STATISTICAL; MODELS, THEORETICAL; MONTE CARLO METHOD; OXYGEN; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOFTWARE;

EID: 61849136753     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iembs.2008.4650189     Document Type: Conference Paper

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