High-grade glioma diffusive modeling using statistical tissue information and diffusion tensors extracted from atlases

IEEE Transactions on Information Technology in Biomedicine

Volumn 16, Issue 2, 2012, Pages 255-263

  Roniotis, Alexandros ^a,b   Manikis, Georgios C ^a   Sakkalis, Vangelis ^a   Zervakis, Michalis E ^b   Karatzanis, Ioannis ^a   Marias, Kostas ^a  

^a INSTITUTE OF COMPUTER SCIENCE   (Greece)

^b TECHNICAL UNIVERSITY OF CRETE   (Greece)

Author keywords

Anisotropic growth; brain atlas; diffusive modeling; glioma; tissue proportion

Indexed keywords

ANISOTROPIC GROWTH; BRAIN ATLAS; BRAIN CANCER; DIFFUSION TENSOR; DIFFUSION-REACTION EQUATION; DIFFUSIVE MODEL; DISCRETE DIFFUSION; GLIOBLASTOMAS; GLIOMA; GLIOMA CELLS; GRAY MATTER; GROWTH MODELS; HIGH-GRADE GLIOMAS; NEOPLASTIC GROWTH; SPATIO-TEMPORAL CHANGES; WHITE MATTER;

ANISOTROPY; DIFFUSION; DIFFUSION TENSOR IMAGING; HEALTH CARE; MAGNETIC RESONANCE IMAGING; TENSORS;

TUMORS;

ADULT; ARTICLE; BIOLOGICAL MODEL; BRAIN; BRAIN TUMOR; CANCER INVASION; COMPUTER SIMULATION; DIFFUSION TENSOR IMAGING; GLIOBLASTOMA; HISTOLOGY; HUMAN; IMAGE PROCESSING; METHODOLOGY; PATHOLOGY; PROGNOSIS; STATISTICAL MODEL;

ADULT; BRAIN; BRAIN NEOPLASMS; COMPUTER SIMULATION; DIFFUSION TENSOR IMAGING; GLIOBLASTOMA; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; NEOPLASM INVASIVENESS; PROGNOSIS;

EID: 84858115843     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2011.2171190     Document Type: Article

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