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Enhanced Planning of Interventions for Spinal Deformity Correction Using Virtual Modeling and Visualization Techniques

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Part of the Lecture Notes in Computer Science book series (LNIP,volume 7264)

Abstract

Traditionally spinal correction procedures have been planned using 2D radiographs or image slices extracted from conventional computed tomography scans. Such images prove inadequate for accurately and precisely planning interventions, mainly due to the complex 3D anatomy of the spinal column, as well as the close proximity of nerve bundles and vascular structures that must be avoided during the procedure. To address these limitations and provide the surgeon with more representative information while taking full advantage of the 3D volumetric imaging data, we have developed a clinician-friendly application for spine surgery planning. This tool enables rapid oblique reformatting of each individual vertebral image, 3D rendering of each or multiple vertebrae, as well as interactive templating and placement of virtual implants. Preliminary studies have demonstrated improved accuracy and confidence of pre-operative measurements and implant localization and suggest that the proposed application may lead to increased procedure efficiency, safety, shorter intra-operative time, and lower costs.

Keywords

  • Vertebral Body
  • Pedicle Screw
  • Preoperative Plan
  • Screw Placement
  • Congenital Scoliosis

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Linte, C.A., Augustine, K.E., Huddleston, P.M., Stans, A.A., Holmes, D.R., Robb, R.A. (2012). Enhanced Planning of Interventions for Spinal Deformity Correction Using Virtual Modeling and Visualization Techniques. In: Linte, C.A., Moore, J.T., Chen, E.C.S., Holmes, D.R. (eds) Augmented Environments for Computer-Assisted Interventions. AE-CAI 2011. Lecture Notes in Computer Science, vol 7264. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32630-1_10

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  • DOI: https://doi.org/10.1007/978-3-642-32630-1_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32629-5

  • Online ISBN: 978-3-642-32630-1

  • eBook Packages: Computer ScienceComputer Science (R0)