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Deformable Multi-material 2-Simplex Surface Mesh for Intraoperative MRI-Ready Surgery Planning and Simulation, with Deep-Brain Stimulation Applications

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Imaging for Patient-Customized Simulations and Systems for Point-of-Care Ultrasound (BIVPCS 2017, POCUS 2017)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10549))

Abstract

Printed and/or digital atlases are important tools for medical research and surgical intervention. While these atlases can provide guidance in identifying anatomical structures, they do not take into account the wide variations in the shape and size of anatomical structures that can occur from patient to patient. Accurate, patient-specific representations are especially important for surgical interventions like deep brain stimulation, where even small inaccuracies can result in dangerous complications. This research effort extends the discrete deformable 2-simplex mesh into the multi-material domain where geometry-based internal forces and image-based external forces are used in the deformation process. Multi-material 2-simplex meshes having shared boundaries are initialized from multi-material triangular surface meshes. A multi-material deformable framework is presented and used to segment anatomical structures of the deep brain region such as the subthalamic nucleus.

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Authors and Affiliations

  1. Old Dominion University, Norfolk, USA

    T. Rashid, S. Sultana & M. A. Audette

  2. Worcester Polytechnic Institute, Worcester, USA

    G. S. Fischer

  3. Albany Medical Center, Albany, USA

    J. Pilitsis

Authors
  1. T. Rashid
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  2. S. Sultana
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  3. G. S. Fischer
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  4. J. Pilitsis
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  5. M. A. Audette
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Corresponding author

Correspondence to M. A. Audette .

Editor information

Editors and Affiliations

  1. University College London, London, United Kingdom

    M. Jorge Cardoso

  2. McGill University, Montreal, Québec, Canada

    Tal Arbel

  3. Universidade do Porto, Porto, Portugal

    João Manuel R.S. Tavares

  4. Kitware Inc., Carrboro, North Carolina, USA

    Stephen Aylward

  5. University of Western Ontario, London, Ontario, Canada

    Shuo Li

  6. Johns Hopkins University, Baltimore, Maryland, USA

    Emad Boctor

  7. Queen’s University, Kingston, Ontario, Canada

    Gabor Fichtinger

  8. Children’s National Medical Center, Washington, District of Columbia, USA

    Kevin Cleary

  9. Washington University Medical Center, St. Louis, Missouri, USA

    Bradley Freeman

  10. InnerOptic Technology, Hillsborough, North Carolina, USA

    Luv Kohli

  11. Washington University Medical Center, St. Louis, Missouri, USA

    Deborah Shipley Kane

  12. Children’s National Medical Center, Washington, District of Columbia, USA

    Matt Oetgen

  13. Brigham and Women’s Hospital, Boston, Massachusetts, USA

    Sonja Pujol

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© 2017 Springer International Publishing AG

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Rashid, T., Sultana, S., Fischer, G.S., Pilitsis, J., Audette, M.A. (2017). Deformable Multi-material 2-Simplex Surface Mesh for Intraoperative MRI-Ready Surgery Planning and Simulation, with Deep-Brain Stimulation Applications. In: Cardoso, M., et al. Imaging for Patient-Customized Simulations and Systems for Point-of-Care Ultrasound. BIVPCS POCUS 2017 2017. Lecture Notes in Computer Science(), vol 10549. Springer, Cham. https://doi.org/10.1007/978-3-319-67552-7_12

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  • DOI: https://doi.org/10.1007/978-3-319-67552-7_12

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67551-0

  • Online ISBN: 978-3-319-67552-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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