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GLioblastoma Image Analysis for integrating brain tumor growth models with medical imaging
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ShashankSubramanian/GLIA
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GLioblastomaImageAnalysis for calibrating brain tumor growth models is a suite of high-performance algorithms and software to integrate biophysical models of tumor growth with medical imaging data to advance personalized medicine.
GLIA provides the following functionalities:
- 3D tumor growth simulation using complex growth models with mass effect and multiple tumor species
- Inversion algorithms for reconstructing the following parameters using asingle mpMRI patient imaging scan:
- Tumor initiation location(s) or TILs
- Tumor growth parameters representing cancer proliferation and infiltration
- Tumor-induced biomechanical effects or mass effect
- Aggregate and localized biophysically driven imaging features
- Novel numerical schemes with parallelized execution that exploits mulitcore CPU and GPU architectures for fast solution times on medical imaging data resolutions (256x256x256)
Seeinstallation
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Shashank Subramanian, Klaudius Scheufele,George Biros
Other contributors: Naveen Himthani, Amir Gholami, Miriam Mehl, Andreas Mang
If you use GLIA or contained algorithms in your research, please cite:
Forward tumor growth models: S. Subramanian, A. Gholami & G. Biros.Simulation of glioblastoma growth using a 3D multispecies tumor model with mass effect. Journal of Mathematical Biology 2019 [arxiv,jomb].
TIL inversion algorithms: S. Subramanian, K. Scheufele, M. Mehl & G. Biros.Where did the tumor start? An inverse solver with sparse localization for tumor growth models. Inverse Problems 2020 [arxiv,ip]; K. Scheufele, S. Subramanian & G Biros.Fully-automatic calibration of tumor-growth models using a single mpMRI scan. IEEE Transactions in Medical Imaging 2020 [arxiv,tmi].
Mass effect inversion algorithms: S. Subramanian, K. Scheufele, N. Himthani & G. Biros.Multiatlas calibration of brain tumor growth models with mass effect. MICCAI 2020 [arxiv,miccai].
GLIA is distributed under GNU GENERAL PUBLIC LICENSE Version 2.Please seeLICENSE file. Please contact authors if any issues with the license.
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GLioblastoma Image Analysis for integrating brain tumor growth models with medical imaging