Non-local statistical label fusion for multi-atlas segmentation

Medical Image Analysis

Volumn 17, Issue 2, 2013, Pages 194-208

  Asman, Andrew J ^a   Landman, Bennett A ^a,b  

^a VANDERBILT UNIVERSITY   (United States)

^b VANDERBILT UNIVERSITY   (United States)

Author keywords

Label fusion; Multi atlas segmentation; Non local means; Rater models; STAPLE

Indexed keywords

CLINICAL APPLICATION; INTENSITY INFORMATION; LABEL FUSIONS; NON-LOCAL MEANS; SEGMENTATION QUALITY; SPATIAL INFORMATIONS; STAPLE; STATISTICAL LABEL FUSIONS;

IMAGE REGISTRATION;

ALGORITHMS;

ACCURACY; ALGORITHM; ARTICLE; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED STUDY; HUMAN; IMAGE PROCESSING; INFORMATION PROCESSING; MULTI ATLAS SEGMENTATION; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PARTITION COEFFICIENT; PRIORITY JOURNAL; REGISTRATION; THYROID GLAND; ARTIFICIAL INTELLIGENCE; AUDIOVISUAL EQUIPMENT; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MODELS, ANATOMIC; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 84883291089     PISSN: 13618415     EISSN: 13618423     Source Type: Journal    
DOI: 10.1016/j.media.2012.10.002     Document Type: Article

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