Image guided personalization of reaction-diffusion type tumor growth models using modified anisotropic eikonal equations

IEEE Transactions on Medical Imaging

Volumn 29, Issue 1, 2010, Pages 77-95

  Konukoglu, Ender ^a   Clatz, Olivier ^a   Menze, Bjoern H ^b   Stieltjes, Bram ^c   Weber, Marc André ^d   Mandonnet, Emmanuel ^d   Delingette, Hervé ^a   Ayache, Nicholas ^a  

^a INRIA   (France)

^b HARVARD MEDICAL SCHOOL   (United States)

^c GERMAN CANCER RESEARCH CENTER DKFZ   (Germany)

^d INSERM   (France)

Author keywords

[No Author keywords available]

Indexed keywords

EIKONAL EQUATION; GENERAL MODEL; IMAGE-GUIDED; MEDICAL IMAGES; MODEL PARAMETERS; MODEL-BASED; PARAMETER ESTIMATION METHOD; PATIENT CASE; PATIENT SPECIFIC PARAMETERS; PERSONALIZATIONS; PROLIFERATION RATE; REACTION DIFFUSION; REACTION-DIFFUSION DYNAMICS; REACTION-DIFFUSION MODELS; SPATIAL ACCURACY; TIME INSTANCES; TISSUE TYPES; TUMOR CELLS; TUMOR DELINEATION; TUMOR GROWTH MODELS; WHITE-MATTER FIBER TRACTS;

BRAIN MODELS; DIFFERENTIAL EQUATIONS; DIFFUSION IN LIQUIDS; GEOMETRICAL OPTICS; PARAMETER ESTIMATION; TIME SERIES;

TUMORS;

ALGORITHM; ANISOTROPY; ARTICLE; ASTROCYTOMA; BIOLOGICAL MODEL; CELL GROWTH; COMPUTER SIMULATION; HUMAN; IMAGE PROCESSING; METHODOLOGY; NEOPLASM; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PHYSIOLOGY;

ALGORITHMS; ANISOTROPY; ASTROCYTOMA; CELL GROWTH PROCESSES; COMPUTER SIMULATION; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MODELS, BIOLOGICAL; NEOPLASMS;

EID: 73949157513     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2009.2026413     Document Type: Article

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