Skip to main content

Intraoperative Magnetic Resonance Imaging

  • Chapter
  • First Online:
Intraoperative Imaging

Part of the book series: Acta Neurochirurgica Supplementum ((NEUROCHIRURGICA,volume 109))

Abstract

Neurosurgeons have become reliant on image-guidance to perform safe and successful surgery both time-efficiently and cost-effectively. Neuronavigation typically involves either rigid (frame-based) or skull-mounted (frameless) stereotactic guidance derived from computed tomography (CT) or magnetic resonance imaging (MRI) that is obtained days or immediately before the planned surgical procedure. These systems do not accommodate for brain shift that is unavoidable once the cranium is opened and cerebrospinal fluid is lost. Intraoperative MRI (ioMRI) systems ranging in strength from 0.12 to 3Tesla (T) have been developed in part because they afford neurosurgeons the opportunity to accommodate for brain shift during surgery. Other distinct advantages of ioMRI include the excellent soft tissue discrimination, the ability to view the surgical site in three dimensions, and the ability to “see” tumor beyond the surface visualization of the surgeon’s eye, either with or without a surgical microscope. The enhanced ability to view the tumor being biopsied or resected allows the surgeon to choose a safe surgical corridor that avoids critical structures, maximizes the extent of the tumor resection, and confirms that an intraoperative hemorrhage has not resulted from surgery. Although all ioMRI systems allow for basic T1- and T2-weighted imaging, only high-field (>1.5T) MRI systems are capable of MR spectroscopy (MRS), MR angiography (MRA), MR venography (MRV), diffusion-weighted imaging (DWI), and brain activation studies. By identifying vascular structures with MRA and MRV, it may be possible to prevent their inadvertent injury during surgery. Biopsying those areas of elevated phosphocholine on MRS may improve the diagnostic yield for brain biopsy. Mapping out eloquent brain function may influence the surgical path to a tumor being resected or biopsied. The optimal field strength for an ioMRI-guided surgical system and the best configuration for that system are as yet undecided.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 219.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 279.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 279.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Hall WA, Truwit CL (2008) Intraoperative MR-guided neurosurgery. J Magn Reson Imaging 27:368–375

    Article  PubMed  Google Scholar 

  2. Hall WA, Truwit CL (2005) 1.5 T:spectroscopy-supported brain biopsy. Neurosurg Clin N Am 16:165–172

    Article  PubMed  Google Scholar 

  3. Hall WA, Liu H, Martin AJ, Pozza CH, Maxwell RE, Truwit CL (2000) Safety, efficacy and functionality of high-field strength interventional MR imaging for neurosurgery. Neurosurgery 46:632–641

    Article  PubMed  CAS  Google Scholar 

  4. Nimsky C, Ganslandt O, von Keller B, Romstock J, Fahlbusch R (2004) Intraoperative high-field strength MR imaging: implementation and experience in 200 patients. Radiology 233:67–78

    Article  PubMed  Google Scholar 

  5. Truwit CL, Hall WA (2006) Intraoperative magnetic resonance imaging-guided neurosurgery at 3-T. Neurosurgery 58(Suppl 2):ONS338–ONS346

    Google Scholar 

  6. Nimsky C, Ganslandt O, Hastreiter P, Fahlbusch R (2001) Intraoperative compensation for brain shift. Surg Neurol 56:357–365

    Article  PubMed  CAS  Google Scholar 

  7. Azmi H, Biswal B, Salas S, Schulder M (2007) Functional imaging in a low-field, mobile intraoperative magnetic resonance scanner: expanded paradigms. Neurosurgery 60:143–149

    PubMed  Google Scholar 

  8. Tummala RP, Chu RM, Liu H, Truwit CL, Hall WA (2003) Application of diffusion tensor imaging to magnetic resonance-guided brain tumor resection. Pediatr Neurosurg 39:39–43

    Article  PubMed  Google Scholar 

  9. Nimsky C, Ganslandt O, Hastreiter P, Wang R, Benner T, Sorensen AG, Fahlbusch R (2005) Preoperative and intraoperative diffusion tensor imaging-based fiber tracking in glioma surgery. Neurosurgery 56:130–138

    PubMed  Google Scholar 

  10. Nimsky C, Ganslandt O, Merhof D, Sorensen AG, Fahlbusch R (2006) Intraoperative visualization of the pyramidal tract by diffusion-tensor-imaging based fiber tracking. Neuroimage 30:1219–1229

    Article  PubMed  Google Scholar 

  11. Hall WA, Kowalik K, Liu H, Truwit CL, Kucharczyk J (2003) Costs and benefits of intraoperative MR-guided brain tumor resection. Acta Neurochir Suppl 85:137–142

    Article  PubMed  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Walter A. Hall .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag/Wien

About this chapter

Cite this chapter

Hall, W.A., Truwit, C.L. (2011). Intraoperative Magnetic Resonance Imaging. In: Pamir, M., Seifert, V., Kiris, T. (eds) Intraoperative Imaging. Acta Neurochirurgica Supplementum, vol 109. Springer, Vienna. https://doi.org/10.1007/978-3-211-99651-5_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-211-99651-5_19

  • Published:

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-211-99650-8

  • Online ISBN: 978-3-211-99651-5

  • eBook Packages: MedicineMedicine (R0)

Publish with us

Policies and ethics