Geodesic Information Flows: Spatially-Variant Graphs and Their Application to Segmentation and Fusion

IEEE Transactions on Medical Imaging

Volumn 34, Issue 9, 2015, Pages 1976-1988

  Cardoso, M Jorge ^a,b   Modat, Marc ^a,b   Wolz, Robin ^c   Melbourne, Andrew ^a   Cash, David ^b   Rueckert, Daniel ^c   Ourselin, Sebastien ^a,b  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

^c IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

Information propagation; label fusion; parcelation; tissue segmentation

Indexed keywords

FLOW GRAPHS; INFORMATION DISSEMINATION;

ANATOMICAL LANDMARKS; INFORMATION PROPAGATION; LABEL FUSIONS; MORPHOLOGICAL VARIABILITY; PARCELATION; REGIONS OF INTEREST; SYNTHETIC AND REAL DATA; TISSUE SEGMENTATION;

TISSUE;

ADULT; AGED; ANATOMICAL CONCEPTS; ARTICLE; BRAIN REGION; CONTROLLED STUDY; DATA BASE; FEMALE; GEODESIC INFORMATION FLOW; HUMAN; IMAGE PROCESSING; INFORMATION PROCESSING; MAJOR CLINICAL STUDY; MATHEMATICAL PHENOMENA; NUCLEAR MAGNETIC RESONANCE IMAGING; VOXEL BASED MORPHOMETRY; YOUNG ADULT; ALGORITHM; ANATOMY AND HISTOLOGY; BRAIN; COMPUTER SIMULATION; MALE; MIDDLE AGED; NEUROIMAGING; PROCEDURES; VERY ELDERLY;

ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; BRAIN; COMPUTER SIMULATION; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; NEUROIMAGING; YOUNG ADULT;

EID: 84940912367     PISSN: 02780062     EISSN: 1558254X     Source Type: Journal    
DOI: 10.1109/TMI.2015.2418298     Document Type: Article

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