The fiber laterality histogram: A new way to measure white matter asymmetry

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

Volumn 6362 LNCS, Issue PART 2, 2010, Pages 225-232

  O'Donnell, Lauren J ^a   Westin, Carl Fredrik ^a   Norton, Isaiah ^a   Whalen, Stephen ^a   Rigolo, Laura ^a   Propper, Ruth ^b   Golby, Alexandra J ^a  

^a BRIGHAM AND WOMEN S HOSPITAL   (United States)

^b MERRIMACK COLLEGE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

NEURAL STRUCTURES; SINGLE FIBER; TRACTOGRAPHY; WHITE MATTER; WHITE MATTER TRACTS;

GRAPHIC METHODS; MEDICAL COMPUTING; MEDICAL IMAGING; STATISTICAL METHODS;

FIBERS;

ALGORITHM; ANISOTROPY; ARTICLE; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPUTER ASSISTED DIAGNOSIS; DIFFUSION TENSOR IMAGING; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; MYELINATED NERVE; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; THREE DIMENSIONAL IMAGING; ULTRASTRUCTURE;

ALGORITHMS; ANISOTROPY; BRAIN; DATA INTERPRETATION, STATISTICAL; DIFFUSION TENSOR IMAGING; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; NERVE FIBERS, MYELINATED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84874396619     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15745-5_28     Document Type: Conference Paper

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