Robust GM/WM segmentation of the spinal cord with iterative non-local statistical fusion

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

Volumn 8149 LNCS, Issue PART 1, 2013, Pages 759-767

  Asman, Andrew J ^a   Smith, Seth A ^b   Reich, Daniel S ^c   Landman, Bennett A ^a,b  

^a VANDERBILT UNIVERSITY   (United States)

^b VANDERBILT UNIVERSITY   (United States)

^c NATIONAL INSTITUTES OF HEALTH   (United States)

Author keywords

Multi Atlas Segmentation; Non local Correspondence Models; Registration Refinement; Spinal Cord Parcellation

Indexed keywords

AUTOMATED ALGORITHMS; CENTRAL NERVOUS SYSTEMS; CONTRAST TO NOISE RATIO; NONLOCAL; PRIMARY CONTRIBUTION; REGISTRATION REFINEMENT; SEGMENTATION INFORMATIONS; SPINAL CORDS;

ALGORITHMS; MAGNETIC RESONANCE IMAGING; TISSUE;

ITERATIVE METHODS;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; CYTOLOGY; DIFFUSION TENSOR IMAGING; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; MYELINATED NERVE; NERVE CELL; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SPINAL CORD; STATISTICAL ANALYSIS; ULTRASTRUCTURE;

ALGORITHMS; DATA INTERPRETATION, STATISTICAL; DIFFUSION TENSOR IMAGING; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; NERVE FIBERS, MYELINATED; NEURONS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SPINAL CORD; SUBTRACTION TECHNIQUE;

EID: 84894640133     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-40811-3_95     Document Type: Conference Paper

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