Estimation of Intraoperative Brain Deformation

  • Songbai Ji
  • Xiaoyao Fan
  • Alex Hartov
  • David W. Roberts
  • Keith D. Paulsen
Chapter
First Online:
Part of the Studies in Mechanobiology, Tissue Engineering and Biomaterials book series (SMTEB, volume 11)

Abstract

Image-guided neuronavigation based on preoperative images has become the standard-of-care in many open cranial surgeries. The accuracy of patient registration between structures of interest in the operating room and preoperative images is essential for effective deployment of image-guidance. Brain shift is widely recognized as the single most important factor that degrades registration accuracy during surgery. Intraoperative imaging techniques are important to compensate for brain shift. However, they alone are either impractical for broad clinical acceptance due to high capital cost and intrusion on surgical workflow (e.g., intraoperative magnetic resonance) or insufficient to provide full-field image data for neuronavigation (e.g., intraoperative ultrasound, stereovision, and laser range scanning). Alternatively, biomechanical models are becoming increasingly attractive for estimating brain deformation intraoperatively because they offer whole-brain displacement fields from which to generate model-updated MR images for subsequent guidance, and are low in cost. Because parenchymal feature displacements derived from intraoperative images can be incorporated into model computation, brain deformation is estimated on a patient-specific basis and may allow sufficient accuracy in image-to-patient registration to be maintained throughout surgery. Apparently, the clinical feasibility of this technique for application in the OR depends on the performance of the modeling updates as well as the generation of feature displacements from intraoperative images. This chapter presents details on the important aspects of a computational scheme for estimating intraoperative whole-brain deformation to produce an updated MR image volume. Preliminary results using intraoperative fluorescence imaging for validation of model estimation are also described.

Keywords

Biomechanical modeling Finite element method Brain shift Neuronavigation Volumetric true 3D ultrasound Stereovision Fluorescence imaging 
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Notes

Acknowledgments

Funding from the NIH R01 EB002082-11 and R01 CA159324–01 is acknowledged.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Songbai Ji
    • 1
  • Xiaoyao Fan
    • 1
  • Alex Hartov
    • 1
    • 2
  • David W. Roberts
    • 2
    • 3
  • Keith D. Paulsen
    • 1
    • 2
  1. 1.Thayer School of EngineeringDartmouth CollegeHanoverUSA
  2. 2.Norris Cotton Cancer CenterLebanonUSA
  3. 3.Dartmouth Hitchcock Medical CenterLebanonUSA

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