Software for realistic tumor modeling
Tool for simulating tumor dynamics in patient-specific anatomy reconstructed from the medical scans.
Supported tumor models:
- Tumor growth (Reaction-diffusion model)
- Tumor mass effect and intracranial pressure (Brain deformation model)
- Tumor hypoxia and necrosis
- Bayesian model calibration for personalized radiotherapy planning (see [Lipkova 2018] in bibliography)
Features:
- Fast execution thanks to highly-parallel architecture and adaptive grid refinement
- User-friendly; just provide patient anatomy and select the tumor model
- Developer-friendly: the models are implemented as modules, which allows an addition of new models and a combination of the existing ones
- Transferable: can be applied to other types of infiltrative tumors (e.g. multiple myeloma, liver lesions,…)
- Open source, self-contained C++ code
- Compatible with Linux/Mac OS
References:
- In publications using GliomaSolver or data provided on this website, please cite the following paper: Lipkova et al.: Personalized Radiotherapy Design for Glioblastoma Using Mathematical Tumor Modelling, Multimodal Scans and Bayesian Inference. IEEE Transactions on Medical Imaging (2019).
- You can download data of eight glioblastoma patients, which were released in conjunction with the above paper, here