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Automatic Framework for Patient-Specific Biomechanical Computations of Organ Deformation: An Epilepsy (EEG) Case Study

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Computational Biomechanics for Medicine (MICCAI 2021)

Abstract

Our motivation is to enable non-specialists to use sophisticated biomechanical models in the clinic. To further this goal, in this study, we constructed a framework within 3D Slicer for automatically generating and solving patient-specific biomechanical models of the brain. This framework allows determining automatically patient-specific geometry from MRI data, generating patient-specific computational grid, defining boundary conditions and external loads, assigning material properties to intracranial constituents and solving the resulting set of differential equations. We used the Meshless Total Lagrangian Explicit Dynamics (MTLED) algorithm to solve these equations. We demonstrated the effectiveness and appropriateness of our framework on a case study of brain tissue deformations caused by placement of electrodes on the brain surface in intracranial electroencephalography (iEEG).

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Acknowledgements

The funding from NHMRC grants APP1162030; APP1144519 is gratefully acknowledged. The first author acknowledges scholarship funding from University Postgraduate Award. We also wish to thank 3D Slicer on-line community https://discourse.slicer.org/ whose members have made many valuable contributions. Our special thanks go to Dr. Andras Lasso of Laboratory for Percutaneous Surgery (PerkLab).

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Authors and Affiliations

  1. Intelligent System for Medicine Laboratory, The University of Western Australia, Crawley, WA, 6009, Australia

    Saima Safdar, Benjamin Zwick, George Bourantas, Grand R. Joldes, Adam Wittek & Karol Miller

  2. Computational Radiology Laboratory, Department of Radiology, Boston Children’s Hospital and Harvard Medical School, Boston, MA, USA

    Simon K. Warfield & Damon E. Hyde

Authors
  1. Saima Safdar
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  2. Benjamin Zwick
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  3. George Bourantas
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  4. Grand R. Joldes
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  5. Simon K. Warfield
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  6. Damon E. Hyde
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  7. Adam Wittek
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  8. Karol Miller
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Corresponding author

Correspondence to Karol Miller .

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Editors and Affiliations

  1. Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand

    Poul M.F. Nielsen

  2. Auckland Bioengineering Inst, Level 6, University of Auckland, Auckland, New Zealand

    Martyn P. Nash

  3. Department of Mechanical Engineering, University of Sheffield, Sheffield, UK

    Xinshan Li

  4. Intelligent Systems for Medicine Lab., The University of Western Australia, Perth, WA, Australia

    Karol Miller

  5. Intelligent Systems for Medicine Lab, The University of Western Australia, Perth, WA, Australia

    Adam Wittek

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Safdar, S. et al. (2022). Automatic Framework for Patient-Specific Biomechanical Computations of Organ Deformation: An Epilepsy (EEG) Case Study. In: Nielsen, P.M., Nash, M.P., Li, X., Miller, K., Wittek, A. (eds) Computational Biomechanics for Medicine. MICCAI 2021. Springer, Cham. https://doi.org/10.1007/978-3-031-09327-2_5

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