Mathematical modelling of glioma growth: The use of Diffusion Tensor Imaging (DTI) data to predict the anisotropic pathways of cancer invasion

Journal of Theoretical Biology

Volumn 323, Issue , 2013, Pages 25-39

  Painter, K J ^a   Hillen, T ^b  

^a HERIOT WATT UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF ALBERTA   (Canada)

Author keywords

Anisotropic diffusion; Diffusion tensor imaging; Multiscale modelling; Tumour invasion

Indexed keywords

ANISOTROPY; CANCER; EXPERIMENTAL STUDY; GROWTH RATE; MATHEMATICAL ANALYSIS; NUMERICAL MODEL; PARAMETERIZATION;

ANISOTROPY; ARTICLE; CANCER INVASION; DATA PROCESSING; DIFFUSION; DIFFUSION TENSOR IMAGING; GLIOMA; IMAGE ANALYSIS; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; NERVE TRACT; PRIORITY JOURNAL; STATISTICAL DISTRIBUTION; TUMOR GROWTH;

ANISOTROPY; BRAIN NEOPLASMS; CELL MOVEMENT; CELL PROLIFERATION; COMPUTER SIMULATION; DIFFUSION TENSOR IMAGING; GLIOMA; HUMANS; MODELS, BIOLOGICAL; NEOPLASM INVASIVENESS;

EID: 84873974937     PISSN: 00225193     EISSN: 10958541     Source Type: Journal    
DOI: 10.1016/j.jtbi.2013.01.014     Document Type: Article

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