3D segmentation of rodent brain structures using hierarchical shape priors and deformable models

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

Volumn 6893 LNCS, Issue PART 3, 2011, Pages 611-618

  Zhang, Shaoting ^a   Huang, Junzhou ^a   Uzunbas, Mustafa ^a   Shen, Tian ^b   Delis, Foteini ^c   Huang, Xiaolei ^b   Volkow, Nora ^c   Thanos, Panayotis ^c   Metaxas, Dimitris N ^a  

^a RUTGERS UNIVERSITY   (United States)

^b Lehigh University   (United States)

^c BROOKHAVEN NATIONAL LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

3D SEGMENTATION; DEFORMABLE MODELS; DEFORMATION MODULE; DEFORMATION RESULT; DIFFERENT STRUCTURE; GLOBAL LEVELS; GLOBAL STATISTICS; IMAGE FORCE; MULTIPLE STRUCTURES; RELATIVE POSITIONS; RODENT BRAIN; SEGMENTATION ACCURACY; SEGMENTATION METHODS; SEGMENTATION PERFORMANCE; SHAPE PRIORS; SHAPE STATISTICS; STRIATUM; TRAINING DATA; TRAINING SAMPLE;

BRAIN MODELS; DEFORMATION; IMAGE SEGMENTATION; MEDICAL COMPUTING; OBJECT RECOGNITION; PRINCIPAL COMPONENT ANALYSIS;

THREE DIMENSIONAL;

ALGORITHM; ANIMAL; ARTICLE; AUTOMATED PATTERN RECOGNITION; BRAIN; CEREBELLUM; COMPUTER ASSISTED DIAGNOSIS; CORPUS STRIATUM; HIPPOCAMPUS; MALE; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PRINCIPAL COMPONENT ANALYSIS; RAT; SPRAGUE DAWLEY RAT; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ANIMALS; BRAIN; CEREBELLUM; CORPUS STRIATUM; HIPPOCAMPUS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MALE; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; PRINCIPAL COMPONENT ANALYSIS; RATS; RATS, SPRAGUE-DAWLEY;

EID: 82255181668     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23626-6_75     Document Type: Conference Paper

References (13)

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