A histology-based model of quantitative T1 contrast for in-vivo cortical parcellation of high-resolution 7 Tesla brain MR images

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

Volumn 8150 LNCS, Issue PART 2, 2013, Pages 51-58

  Dinse, Juliane ^a,b   Waehnert, Miriam ^a   Tardif, Christine Lucas ^a   Schäfer, Andreas ^a   Geyer, Stefan ^a   Turner, Robert ^a   Bazin, Pierre Louis ^a  

^a MAX PLANCK INSTITUTE FOR HUMAN COGNITIVE AND BRAIN SCIENCES   (Germany)

^b OTTO VON GUERICKE UNIVERSITY   (Germany)

Author keywords

cortical parcellation; cytoarchitetcure; myeloarchitecture; ultra high resolution MRI

Indexed keywords

CELL CONFIGURATIONS; CORTICAL PARCELLATION; CYTOARCHITETCURE; GENERATIVE MODEL; MYELOARCHITECTURE; QUANTITATIVE COMPARISON; SIMILARITY DISTANCE; ULTRAHIGH RESOLUTION;

COMPUTER SIMULATION; HISTOLOGY;

MAGNETIC RESONANCE IMAGING;

ALGORITHM; ARTICLE; AUDIOVISUAL EQUIPMENT; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BRAIN; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING;

ALGORITHMS; BRAIN; COMPUTER SIMULATION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MODELS, ANATOMIC; MODELS, BIOLOGICAL; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84897569857     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-40763-5_7     Document Type: Conference Paper

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