Multiscale modeling for image analysis of brain tumor studies

IEEE Transactions on Biomedical Engineering

Volumn 59, Issue 1, 2012, Pages 25-29

  Bauer, Stefan ^a   May, Christian ^a   Dionysiou, Dimitra ^b   Stamatakos, Georgios ^b   Buchler, Philippe ^a   Reyes, Mauricio ^a  

^a UNIVERSITY OF BERN   (Switzerland)

^b NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

Author keywords

Brain tumor; glioma; image analysis; tumor biomechanics; tumor growth modeling

Indexed keywords

ATLAS-BASED SEGMENTATION; BRAIN ATLAS; BRAIN IMAGES; BRAIN TUMORS; CELLULAR LEVELS; EULERIAN APPROACH; FINITE ELEMENT COMPUTATIONS; GLIOMA; GROWTH SIMULATION; IMAGE-BASED MODELING; LARGE-SCALE DEFORMATION; MR IMAGES; MULTI-SCALE MODELING; MULTIPHYSICS MODEL; MULTISCALES; NONRIGID REGISTRATION; PATIENT IMAGES; REGISTRATION ALGORITHMS; TISSUE DEFORMATIONS; TUMOR GROWTH; TUMOR GROWTH MODELING; TUMOR PATIENT; TUMOR PROGRESSIONS;

ALGORITHMS; BIOMECHANICS; BRAIN; CELL PROLIFERATION; COMPUTER SIMULATION; DEFORMATION; IMAGE ANALYSIS; IMAGE SEGMENTATION; TUMORS;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; BIOMECHANICS; BRAIN TUMOR; CELL PROLIFERATION; FINITE ELEMENT ANALYSIS; HUMAN; IMAGE ANALYSIS; MATHEMATICAL COMPUTING; MODEL; NUCLEAR MAGNETIC RESONANCE IMAGING; PROGNOSIS; SIMULATION; TUMOR GROWTH;

ALGORITHMS; BRAIN; BRAIN NEOPLASMS; COMPUTER SIMULATION; GLIOMA; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MODELS, BIOLOGICAL; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84555190731     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2011.2163406     Document Type: Article

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