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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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
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