Statistical model of laminar structure for atlas-based segmentation of the fetal brain from in utero MR images

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 7259, Issue , 2009, Pages

  Habas, Piotr A ^a   Kim, Kio ^a   Chandramohan, Dharshan ^a,b   Rousseau, Francois ^c   Glenn, Orit A ^a   Studholme, Colin ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b University of California at Berkeley   (United States)

^c Faculté de Médecine   (France)

Author keywords

Atlases; Segmentation; Statistical methods

Indexed keywords

3-D IMAGE; ACCURACY AND PRECISION; ADULT BRAIN; ANATOMICAL CONSTRAINT; ATLAS-BASED METHODS; ATLAS-BASED SEGMENTATION; ATLASES; AUTOMATED SEGMENTATION; BRAIN DEVELOPMENT; BRAIN SEGMENTATION; COMPLEX STRUCTURE; CORTICAL GREY MATTER; FETAL MRI; GEOMETRIC REPRESENTATION; GESTATIONAL AGE; HIGH RESOLUTION; HUMAN FETAL BRAIN; LAMINAR STRUCTURE; MANUAL SEGMENTATION; MATRIX; MR IMAGES; QUANTITATIVE ANALYSIS; SIMILARITY COEFFICIENTS; STATISTICAL MODELS; TISSUE TYPES; WHITE MATTER;

BRAIN; IMAGE ANALYSIS; IMAGE RECONSTRUCTION; IMAGE SEGMENTATION; IMAGING SYSTEMS; MEDICAL IMAGING; STATISTICS;

THREE DIMENSIONAL;

EID: 71649108370     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.812425     Document Type: Conference Paper

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