Joint segmentation of thalamic nuclei from a population of diffusion tensor MR images

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 279-286

  Ziyan, Ulas ^a   Westin, Carl Fredrik ^a,b  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b BRIGHAM AND WOMEN S HOSPITAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN ATLAS; DIFFUSION TENSOR IMAGES; DIFFUSION TENSOR MR IMAGES; FUNCTIONAL AREAS; GRAY MATTER; JOINT SEGMENTATION; MORPHOMETRY; SEGMENTATION ALGORITHMS; UNSUPERVISED SEGMENTATION; UNSUPERVISED SEGMENTATION METHOD;

COMPUTER SCIENCE; IMAGE SEGMENTATION; MEDICAL COMPUTING;

TENSORS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; THALAMUS NUCLEUS; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; THALAMIC NUCLEI;

EID: 79551689842     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85988-8_34     Document Type: Conference Paper

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