Effects of registration regularization and atlas sharpness on segmentation accuracy

Medical Image Analysis

Volumn 12, Issue 5, 2008, Pages 603-615

  Thomas Yeo, B T ^a   Sabuncu, Mert R ^a   Desikan, Rahul ^b   Fischl, Bruce ^a,c,d   Golland, Polina ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b BOSTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c HARVARD MEDICAL SCHOOL   (United States)

^d MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Generative model; Markov random field; Multiple atlases; Parcellation; Registration; Regularization; Segmentation

Indexed keywords

COMMUNICATION CHANNELS (INFORMATION THEORY); CONSTRUCTION; IMAGE ENHANCEMENT; MAPS; PARAMETER ESTIMATION;

ATLAS BASED SEGMENTATION; ATLAS CONSTRUCTION; BALANCE (WEIGHTING); CORTICAL SURFACES; GENERATIVE MODELING; IMAGE FIDELITY; LABELED DATA; MODEL PARAMETERS; NON-RIGID REGISTRATION; OPTIMAL SEGMENTATION; PUBLIC DATABASES; REGISTRATION ALGORITHMS; SEGMENTATION ACCURACY; SEGMENTATION PERFORMANCE; TRAINING DATA; TRAINING IMAGES; WELL-ALIGNED;

WEAVING;

ACCURACY; ARTICLE; BRAIN CORTEX; BRAIN REGION; COMPUTER PROGRAM; IMAGE ANALYSIS; IMAGE DISPLAY; IMAGE PROCESSING; IMAGE QUALITY; IMAGE RECONSTRUCTION; MATHEMATICAL ANALYSIS; MODEL; NEUROANATOMY; PRIORITY JOURNAL; PROBABILITY; STATISTICAL SIGNIFICANCE;

ALGORITHMS; ARTIFACTS; ARTIFICIAL INTELLIGENCE; BRAIN; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 48749129352     PISSN: 13618415     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.media.2008.06.005     Document Type: Article

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