Segmentation of image ensembles via latent atlases

Medical Image Analysis

Volumn 14, Issue 5, 2010, Pages 654-665

  Riklin Raviv, Tammy ^a   Van Leemput, Koen ^a,c,d   Menze, Bjoern H ^a,e   Wells, William M ^a,b   Golland, Polina ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b BRIGHAM AND WOMEN S HOSPITAL   (United States)

^c MASSACHUSETTS GENERAL HOSPITAL   (United States)

^d AALTO UNIVERSITY   (Finland)

^e INRIA   (France)

Author keywords

Latent atlas; Level sets; MRI; Segmentation

Indexed keywords

ALIGNED IMAGES; ATLAS CONSTRUCTION; ATLAS-BASED SEGMENTATION; BRAIN TUMORS; CORTICAL STRUCTURES; DATA SETS; ENERGY MINIMIZATION; IMAGE ENSEMBLE; JOINT SEGMENTATION; LABELED TRAINING DATA; LEVEL SET; MANUAL SEGMENTATION; MRI SEGMENTATION; MULTI-MODAL; MULTI-SUBJECT STUDIES; REGIONS OF INTEREST; SEGMENTATION RESULTS; SPATIAL PRIORS;

COMPUTATIONAL FLUID DYNAMICS; DIFFERENTIAL EQUATIONS; NATURAL LANGUAGE PROCESSING SYSTEMS;

IMAGE SEGMENTATION;

ALGORITHM; ALZHEIMER DISEASE; ARTICLE; BRAIN CORTEX; BRAIN TUMOR; CLINICAL ARTICLE; GLIOMA; HUMAN; IMAGE ANALYSIS; IMAGE QUALITY; LATENT ATLAS; LONGITUDINAL STUDY; PRIORITY JOURNAL; PROBABILITY; TRAINING;

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

EID: 77954621951     PISSN: 13618415     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.media.2010.05.004     Document Type: Article

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