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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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GLIA

GLioblastoma Image Analysis 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 a single 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)

Installation

See installation

Usage

See run scripts

Authors

Shashank Subramanian, Klaudius Scheufele, George Biros

Other contributors: Naveen Himthani, Amir Gholami, Miriam Mehl, Andreas Mang

References

If you use GLIA or contained algorithms in your research, please cite:

  1. 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].

  2. 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].

  3. 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].

License

GLIA is distributed under GNU GENERAL PUBLIC LICENSE Version 2. Please see LICENSE file. Please contact authors if any issues with the license.