A connectivity-based method for defining regions-of-interest in fMRI data

IEEE Transactions on Image Processing

Volumn 18, Issue 8, 2009, Pages 1760-1771

  Deleus, Filip ^a   Van Hulle, Marc M ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

FMRI; Functional connectivity; Image segmentation

Indexed keywords

BRAIN CONNECTIVITY; BRAIN REGIONS; CANONICAL CORRELATION ANALYSIS; CONNECTIVITY PATTERN; CORRELATED NOISE; CORRELATED SIGNALS; FMRI; FMRI DATA; FUNCTIONAL CONNECTIVITY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; REGIONS OF INTEREST; TIME SIGNALS;

IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING;

DIGITAL IMAGE STORAGE;

ALGORITHM; ANIMAL; ARTICLE; BRAIN; BRAIN MAPPING; CLUSTER ANALYSIS; HAPLORHINI; IMAGE PROCESSING; METHODOLOGY; MULTIVARIATE ANALYSIS; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; STATISTICAL MODEL;

ALGORITHMS; ANIMALS; BRAIN; BRAIN MAPPING; CLUSTER ANALYSIS; HAPLORHINI; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MODELS, STATISTICAL; MULTIVARIATE ANALYSIS;

EID: 68149123469     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2009.2021738     Document Type: Article

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