fMRI activation detection by multiScale hidden markov model

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5462 LNBI, Issue , 2009, Pages 295-306

  Nan, Fangyuan ^a   Wang, Yaonan ^a   Ma, Xiaoping ^b  

^a HUNAN UNIVERSITY   (China)

^b CHINA UNIVERSITY OF MINING AND TECHNOLOGY   (China)

Author keywords

Edge detection; Functional magnetic resonance imaging (fMRI); Hidden Markov model; Image segmentation; Spatial temporal modeling; Wavelet analysis

Indexed keywords

ACTIVATION DETECTION; CONTINUOUS DATA; CORRELATION IMAGES; FUNCTIONAL MAGNETIC RESONANCE IMAGES; FUNCTIONAL MAGNETIC RESONANCE IMAGING (FMRI); GAUSSIAN MIXTURE MODEL; HUMAN BRAIN; MARKOV CHAIN; MULTI-SCALE IMAGE SEGMENTATION; MULTISCALES; SPATIAL CORRELATIONS; SPATIAL-TEMPORAL MODELING; STATISTICAL BEHAVIOR; TEST METHOD; TWO-STEP APPROACH; WAVELET COEFFICIENTS;

BIOINFORMATICS; BIOLOGY; DIGITAL IMAGE STORAGE; HIDDEN MARKOV MODELS; IMAGE SEGMENTATION; LABELS; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; OBJECT RECOGNITION; WAVELET ANALYSIS; WAVELET TRANSFORMS;

EDGE DETECTION;

EID: 68249099390     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-00727-9_28     Document Type: Conference Paper

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