Atlas-based segmentation of the germinal matrix from in utero clinical MRI of the fetal brain

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

Volumn 5241 LNCS, Issue PART 1, 2008, Pages 351-358

  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

3-D IMAGE; ADULT BRAIN; ANALYSIS METHOD; ATLAS-BASED SEGMENTATION; BRAIN TISSUE; GESTATIONAL AGE; HIGH RESOLUTION; MANUAL TRACING; MATRIX; MORPHOMETRY; TISSUE MORPHOLOGY; TRANSIENT STRUCTURE;

BRAIN; COMPUTER SCIENCE; IMAGE RECONSTRUCTION; MATRIX ALGEBRA; MEDICAL COMPUTING; MEDICAL IMAGING;

THREE DIMENSIONAL;

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

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

EID: 79551684017     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85988-8_42     Document Type: Conference Paper

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