Morphometric analysis of brain images with reduced number of statistical tests: A study on the gender-related differentiation of the corpus callosum

Artificial Intelligence in Medicine

Volumn 47, Issue 1, 2009, Pages 75-86

  Kontos, Despina ^a,b   Megalooikonomou, Vasileios ^a   Gee, James C ^c  

^a TEMPLE UNIVERSITY   (United States)

^b HOSPITAL OF THE UNIVERSITY OF PENNSYLVANIA   (United States)

^c UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

Corpus callosum; Dynamic recursive partitioning; Feature extraction; Image analysis; Magnetic resonance imaging; Multiple comparison problem; Pixel wise statistics; Template deformation morphometry

Indexed keywords

BRAIN IMAGES; BRAIN STRUCTURE; CORPUS CALLOSUM; DEFORMATION FIELD; DYNAMIC RECURSIVE PARTITIONING; IMAGE ANALYSIS TECHNIQUES; MAGNETIC RESONANCE IMAGES; MORPHOLOGICAL VARIABILITY; MORPHOMETRIC ANALYSIS; MORPHOMETRIC CHARACTERISTICS; MULTIPLE COMPARISON; MULTIPLE COMPARISON PROBLEM; TEMPLATE DEFORMATION MORPHOMETRY; TWO-DIMENSIONAL (2D) IMAGES; TYPE-I ERROR;

DEFORMATION; FEATURE EXTRACTION; IMAGE ANALYSIS; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; PIXELS; RECURSIVE FUNCTIONS; REGRESSION ANALYSIS; STATISTICS;

STATISTICAL TESTS;

ACCURACY; ANALYTICAL ERROR; ARTICLE; BRAIN REGION; CLASSIFICATION; CONTROLLED STUDY; CORPUS CALLOSUM; FEMALE; GENDER; HUMAN; IMAGE ANALYSIS; MALE; MORPHOMETRICS; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; STATISTICAL ANALYSIS;

ALGORITHMS; BRAIN; CORPUS CALLOSUM; DATABASES, FACTUAL; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MODELS, STATISTICAL; SEX CHARACTERISTICS;

EID: 68249085874     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.artmed.2009.05.007     Document Type: Article

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