A unified framework for cross-modality multi-atlas segmentation of brain MRI

Medical Image Analysis

Volumn 17, Issue 8, 2013, Pages 1181-1191

  Eugenio Iglesias, Juan ^a   Rory Sabuncu, Mert ^a   Van Leemput, Koen ^a,b,c  

^a MASSACHUSETTS GENERAL HOSPITAL   (United States)

^b TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

^c AALTO UNIVERSITY   (Finland)

Author keywords

Demons algorithm; Generative model; Label fusion; Registration

Indexed keywords

ALGORITHM FOR SOLVING; EXPECTATION - MAXIMIZATIONS; GENERATIVE MODEL; IMAGE INTENSITIES; LABEL FUSIONS; PROBABILISTIC MODELING; REGISTRATION; UNIFIED FRAMEWORK;

ALGORITHMS; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; MATHEMATICAL MODELS; MEDICAL IMAGING;

IMAGE FUSION;

ALGORITHM; ARTICLE; BAYES THEOREM; BRAIN CORTEX; BRAIN SCINTISCANNING; CAUDATE NUCLEUS; CLAUSTRUM; CLINICAL ARTICLE; DEMONS REGISTRATION FRAMEWORK; GENERATIVE PROBABILISTIC MODEL; GLOBUS PALLIDUS; HUMAN; HUMAN EXPERIMENT; IMAGE ANALYSIS; IMAGE QUALITY; MATHEMATICAL ANALYSIS; MODEL; MULTI ATLAS LABEL FUSION; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; PRIORITY JOURNAL; PUTAMEN;

DEMONS ALGORITHM; GENERATIVE MODEL; LABEL FUSION; REGISTRATION;

ALGORITHMS; BRAIN; COMPUTER SIMULATION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; MULTIMODAL IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 84883264160     PISSN: 13618415     EISSN: 13618423     Source Type: Journal    
DOI: 10.1016/j.media.2013.08.001     Document Type: Article

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