Simulating Cancer Radiotherapy on a Multi-level Basis: Biology, Oncology and Image Processing

  • Dimitra D. Dionysiou
  • Georgios S. Stamatakos
  • Kostas Marias
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4561)


Tumour growth and response to radiotherapeutic schemes is a markedly multiscale process which by no means can be reduced to only molecular or cellular events. Within this framework a new scientific area, i.e. in silico oncology has been proposed in order to address the previously mentioned hypercomplex process at essentially all levels of biocomplexity. This paper focuses on the case of imageable glioblastoma mulriforme response to radiotherapy and presents the basics of an essentially top-down modelling approach, aiming at an improved undestanding of cancer and at a patient-specific optimization of treatment.


Radiotherapy Modelling Glioblastoma In silico oncology 


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© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Dimitra D. Dionysiou
    • 1
  • Georgios S. Stamatakos
    • 1
  • Kostas Marias
    • 2
  1. 1.In Silico Oncology Group, Laboratory of Microwaves and Fiber Optics, Institute of Communication and Computer Systems, School of Electrical and Computer Engineering, National Technical University of Athens, Iroon Polytechniou 9, GR-157 80 ZografosGreece
  2. 2.Biomedical Informatics Laboratory, Institute of Computer Science (ICS), Foundation for Research and Technology - Hellas (FORTH), Vassilika Vouton, P.O. Box 1385, 71110 Heraklion, CreteGreece

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