A spatio-temporal atlas of the human fetal brain with application to tissue segmentation

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

Volumn 5761 LNCS, Issue PART 1, 2009, Pages 289-296

  Habas, Piotr A ^a   Kim, Kio ^a   Rousseau, Francois ^b   Glenn, Orit A ^a   Barkovich, A James ^a   Studholme, Colin ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b Faculté de Médecine   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ATLAS-BASED SEGMENTATION; BRAIN STRUCTURE; BRAIN TISSUE; GESTATIONAL AGE; HIGHER ORDER; HUMAN BRAIN; HUMAN FETAL BRAIN; MANUAL SEGMENTATION; MATRIX; MODELING AND ANALYSIS; MR IMAGES; NONLINEAR MODELING; PROBABILITY MAPS; SPATIAL VARIATIONS; SPATIO-TEMPORAL; SPATIO-TEMPORAL MODELS; STATISTICAL MODELS; TEMPORAL MODELS; TISSUE DISTRIBUTIONS; TISSUE SEGMENTATION;

BRAIN; BRAIN MODELS; HISTOLOGY; MEDICAL COMPUTING; PROBABILITY DENSITY FUNCTION;

TISSUE;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BRAIN; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PRENATAL DEVELOPMENT; PRENATAL DIAGNOSIS; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; COMPUTER SIMULATION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MODELS, BIOLOGICAL; PATTERN RECOGNITION, AUTOMATED; PRENATAL DIAGNOSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 84855510527     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04268-3_36     Document Type: Conference Paper

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