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

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

Software home-page

Please visit the GliomaSolver homepage for installation, tutorials, sample of glioma data, and much more :panda_face:.

Data & Resources

For additioanl data and softwares, please visit the solver's homepage, section References. The most used links are also listed below.

• Data used for the personalized radiotherhpy planning in [1] are avaialble here
• A brain atlas and precomputed phase-field function, used for the deformation model, can be found here
• For automated image-registration tool see here
• For automated skull-stripping and brain tissue segmentation tool see here

References

In publications using GliomaSolver or data released with this solver pleace cite:

[1] Lipkova et al., Personalized Radiotherapy Design for Glioblastoma Using Mathematical Tumor Modelling, Multimodal Scans and Bayesian Inference. IEEE Transactions on Medical Imaging (2019).