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Automatic Framework for Patient-Specific Biomechanical Computations of Organ Deformation

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Computational Biomechanics for Medicine

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 Meshless Total Lagrangian Explicit Dynamics Method (MTLED) to solve these equations. We demonstrated the effectiveness and appropriateness of our framework on a case study of craniotomy-induced brain shift.

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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) at Queen's University (Kingston, Ontario, Canada).

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Authors and Affiliations

  1. Intelligent Systems for Medicine Laboratory, The University of Western Australia, Perth, Western Australia, Australia

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

  2. Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA

    Ron Kikinis

  3. Harvard Medical School, Boston, MA, USA

    Karol Miller

Authors
  1. Saima Safdar
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  2. Grand Joldes
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  3. Benjamin Zwick
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  4. George Bourantas
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  5. Ron Kikinis
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  6. Adam Wittek
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  7. Karol Miller
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Corresponding author

Correspondence to Saima Safdar .

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Editors and Affiliations

  1. Intelligent Systems for Medicine Laboratory, The University of Western Australia, Perth, WA, Australia

    Karol Miller

  2. Intelligent Systems for Medicine Laboratory, The University of Western Australia, Perth, WA, Australia

    Adam Wittek

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

    Martyn Nash

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

    Poul M. F. Nielsen

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Safdar, S. et al. (2021). Automatic Framework for Patient-Specific Biomechanical Computations of Organ Deformation. In: Miller, K., Wittek, A., Nash, M., Nielsen, P.M.F. (eds) Computational Biomechanics for Medicine. Springer, Cham. https://doi.org/10.1007/978-3-030-70123-9_1

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