Out-of-atlas likelihood estimation using multi-atlas segmentation

Medical Physics

Volumn 40, Issue 4, 2013, Pages

  Asman, Andrew J ^a   Chambless, Lola B ^b   Thompson, Reid C ^b   Landman, Bennett A ^a,b  

^a VANDERBILT UNIVERSITY   (United States)

^b VANDERBILT UNIVERSITY   (United States)

Author keywords

cancer detection; multi atlas segmentation; out of atlas likelihood estimation; quality control

Indexed keywords

LARGE DATASET; MAGNETIC RESONANCE IMAGING; QUALITY CONTROL; TENSORS; TUMORS;

ANOMALOUS REGIONS; APPLICATION SPECIFIC; BRAIN ABNORMALITIES; CANCER DETECTION; CENTRAL NERVOUS SYSTEMS; HUMAN INTERVENTION; LIKELIHOOD ESTIMATION; RAPID IDENTIFICATION;

DIFFUSION TENSOR IMAGING;

ALGORITHM; ARTICLE; ARTIFACT; CENTRAL NERVOUS SYSTEM TUMOR; CLINICAL ARTICLE; DIFFUSION TENSOR IMAGING; FALSE NEGATIVE RESULT; FALSE POSITIVE RESULT; GLIOBLASTOMA; HAND; HUMAN; IMAGE QUALITY; MAXIMUM LIKELIHOOD METHOD; METHODOLOGY; MORPHOMETRICS; MULTI ATLAS SEGMENTATION; NEUROIMAGING; OUT OF ATLAS LIKELIHOOD; PREDICTIVE VALUE; PRIORITY JOURNAL; PROBABILITY; QUALITY CONTROL; RECEIVER OPERATING CHARACTERISTIC; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPUTER ASSISTED DIAGNOSIS; HISTOLOGY; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ALGORITHMS; BRAIN; DATA INTERPRETATION, STATISTICAL; DIFFUSION TENSOR IMAGING; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LIKELIHOOD FUNCTIONS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 84876187073     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.4794478     Document Type: Article

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