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Image-based modeling of tumor growth in patients with glioma.

B Menze and E Stretton and E Konukoglu and N Ayache
Optimal control in image processing
CS Garbe, et al. , Ed.
Springer, 2012


In the diagnosis of brain tumors, extensive imaging protocols are routinely used to evaluate therapeutic options or to monitor the state of the disease. This gives rise to large numbers of multi-modal and multi-temporal image volumes even in standard clinical settings (Figure 1), requiring new approaches for compre- hensively integrating information of di erent image sources and di erent time points. As all observations in these data sets arise from one underlying physiolog- ical process { the tumor-induced change of the tissue { a patient-speci c model of tumor growth may provide new means for analyzing the acquired images and evaluating patient's options.

Link to publisher's page
  title = {Image-based modeling of tumor growth in patients with glioma.},
  booktitle = {Optimal control in image processing},
  pages = {16},
  year = {2012},
  publisher = {Springer},
  keywords = {}