Skip to main content
SpringerLink
Log in

High Performance Computing in Image Guided Therapy

Computer Assisted Three-Dimensional Planning and Real-Time Navigation for Neurosurgical Procedures

  • Conference paper
Bildverarbeitung für die Medizin 2001

Part of the book series: Informatik aktuell ((INFORMAT))

  • 183 Accesses

Abstract

We routinely use three-dimensional (3D) reconstruction MRI techniques to understand the anatomic complexity of operative brain lesions and improve preoperative surgical planning. Additionally, we incorporate functional (f-MRI) and metabolic data (PET, SPECT) into the surgical planning, on a case to case basis, using a co-registration algorithm based on maximization of the inherent mutual information contained in the different data sets (MMI) [44]. Surgical planning is performed using MRI based 3D renderings of surgically critical structures such as eloquent cortex, gray matter nuclei, white matter tracts and blood vessels. Simulations using interactive manipulation of 3D data provide an efficient and comprehensive way to appreciate the anatomic relationships of the lesion with respect to the eloquent brain areas and vessels. They provide otherwise inaccessible information, essential for the safe and possibly complete surgical removal of brain lesions. In a second, still experimental step, we propose the use of the 3D reconstruction during surgery, in conjunction with our operative open configuration MR scanner (Signa SP) and real time navigation system, thus facilitating the real-time visualization and quantitative assessment of the intraoperative changes, with the final goal of further reducing the invasiveness, increasing the radicality and safety of the procedure and improving the patient’s outcome.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 54.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 69.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Barrnett GH: The role of image-guided technology in the surgical planning and resection of gliomas. J Neurooncol, 42:3, 247–258, 1999

    Article  Google Scholar 

  2. Berger MS, Deligani AV, Dobbins J et al: The effect of extent of resection on recurrence in patients with low-grade cerebral hemisphere gliomas. Cancer 74:1784–1791

    Google Scholar 

  3. Berger MS, rostowilly RC: Low-grade gliomas: functional mapping, resection strategies, extent of resection and outcome. J Neurooncol 34:85–101, 1997

    Article  Google Scholar 

  4. Black PM, Moriarty T, Alexander E III et al: Development and implementation of intraoperative magnetic resonance imaging and its neurosurgical applications. Neurosurgery 41:831–845, 199

    Google Scholar 

  5. Cline HE, Dumoulin CL, Hart HR Jr, Lorensen WE, Ludtke S: 3D reconstruction of the brain from magnetic resonance images using a connectivity algorithm. Magn Reson Imag 5:345–352, 1987

    Article  Google Scholar 

  6. Cline HE, Lorensen WE, Kikinis R, Jolesz F: Three-dimensional segmentation of MR images of the head using probability and connectivity. J Comp Assist Tomogr 14:1037–1045, 1990

    Article  Google Scholar 

  7. Cline HE, Lorensen WE, Ludtke S, Crawford CR, Teeter, BC: Two algorithms for the three-dimensional construction of tomograms. Med Phys 15:320–327, 1988

    Article  Google Scholar 

  8. Ferrant M, Warfield SK, Guttmann CRG, Mulkern R, Jolesz F, Kikinis R: 3D image matching using a finite element based elastic deformation model. SPL technical report

    Google Scholar 

  9. Firsching R, Tieben R, Schröder R et al: Long-term prognosis of low-grade astrocytoma. Zentralbl Neurochir 55:10–15, 1994

    Google Scholar 

  10. Galloway RL: Frameless stereotactic systems. In Gildenberg PL, Tasher RR: Textbook of Stereotactic and Functional Neurosurgery, McGraw-Hill, New York, 1998, pp. 178–182

    Google Scholar 

  11. Gering D, Nabavi A, Kikinis R, Grimson W, Hata N, Everett P, Jolesz F, Wells W: An integrated visualization system for surgical planning and guidance using image fusion and interventional imaging. MICCAI 99: Proceedings of the Second International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 809–819, Springer Verlag, 1999

    Google Scholar 

  12. Gerig G, Kuoni W, Kikinis R, Kuebler 0: Medical imaging and computer vision: An integrated approach for diagnosis and planning. Proceedings of the 11th DAGM Symposium, In Fachberichte Informatik, Vol. 219. Berlin, Springer Verlag, 1989, pp. 425–433

    Google Scholar 

  13. Gerig et al: Nonlinear anisotropic filtering of MRI data. In IEEE Transactions on Medical Imaging 2(11):221–232, 1992

    Article  Google Scholar 

  14. Holt RM, Maravilla KR: Supra-tentorial gliomas: imaging. In Wilkins RH and Rengacharry SS (eds) Neurosurgery, McGraw-Hill, New York, 1996, pp. 753–774

    Google Scholar 

  15. Hu X, Tan KH, Levin DN, Pelizzari CA, Chen A: A volume-rendering technique for integrated three-dimensional display of MR and PET data. In Hoehne KH, Fuchs, H, Pizer SM (eds): 3D hnaging in Medicine: Algorithms, Systems, Applications, Berlin, Springer Verlag, 1990, pp. 379–397

    Google Scholar 

  16. Janny P, Cure H, Mohr M et al: Low-grade supratentorial astrocytomas. Management and prognostic factors. Cancer 73:1937–1945, 1994

    Article  Google Scholar 

  17. Jolesz F: Image-guided procedures and the operating room of the future. Radiology 204:601–612, 1992

    Google Scholar 

  18. Jolesz FA, Kikinis R, Cline HE, Lorensen WE: The use of computerized image processing for neurosurgical planning, In Black PM, Shoene WC, Lampson LA (eds): Astrocytomas: Diagnosis, Treatment and Biology. Boston, Blackwell Scientific Publications, 1993, pp. 50–56

    Google Scholar 

  19. Kaus MR, Warfield Sk: Automated segmentation of MRI of brain tumors. SPL technical report

    Google Scholar 

  20. Kelly, PJ: Computer-assisted stereotaxis: new approaches for the management of intracranial intra-axial tumor. Neurology 36:535–541, 1986

    Article  Google Scholar 

  21. Kelly, PJ: CT/MRI—based computer-assisted volumetric stereotactic resection of intracranial lesions. In Schmiedek HH and Sweet WH (eds): Operative Neurosurgical Techniques, WB Saunders, Philadelphia, 1995, pp. 619–635

    Google Scholar 

  22. Kikinis R, Altobelli D, Jolesz FA: The use of computerized image processing for the planning and simulation of craniofacial surgery, in Zinreich SJ (ed): Lippincott’s Reviews: Radiology: Head and Neck Imaging. Philadelphia, JB Lippincott Company, 1992, 1(2):210–226

    Google Scholar 

  23. Kikinis R, Warfield S, Westin KF: High performance computing (HPC) in medical image analysis (MIA) at the Surgical Planning Laboratory (SPL). Proceedings of the 3rd High Performance Computing Asia Conference and Exhibition, September b22-25, Singapore, 1998

    Google Scholar 

  24. Kikinis R, Jolesz FA, Cline HE, Lorensen WE, Gerig G, Altobelli D, Metcalf D, Black PM: The use of computerized imaging and image processing for neurosurgical planning. Proceedings of the American Society of Neuroradiology 29th Annual Meeting, p. 29, 1991

    Google Scholar 

  25. Kikinis R, Jolesz FA, Gerig G, Sandor T, Cline HE, Lorensen WE, Halle M, Benton SA: 3D morphometric and morphologic information derived from clinical MR images. In Hoehne KH, Fuchs H, Pizer SM (eds): 3D hnaging in Medicine: Algorithms, Systems, Applications, Berlin, Springer Verlag, 1990, pp. 441–454

    Google Scholar 

  26. Kikinis R, Shenton ME, Gerig G, Martin J, Anderson M, Metcalf D, Guttmann CRG, McCarley RW, Lorensen WE, Cline H, Jolesz FA: Routine quantitative analysis of brain and cerebrospinal fluid spaces with MR imaging. JMRI 2:619:629, 1992

    Article  Google Scholar 

  27. Laws E Jr: Neurosurgical management of low-grade astrocytoma of the cerebral hemisphere, J Neurosurg 63:819, 1985 (Letter)

    Article  Google Scholar 

  28. Laws E Jr., Taylor WF, Clifton MB et al: Neurosurgical management of low-grade astrocytoma of the cerebral hemispheres. J Neurosurg 61:665–673, 1984

    Article  Google Scholar 

  29. Laws E Jr., Bergstrack EJ et al: The neurosurgical management of low-grade astrocytoma. Clin Neurosurg 33:575–588, 1986

    Google Scholar 

  30. Levin DU, Hu X, Tan KK, Galhotra S, Pelizzari CA, Chen GTY, Beck RN, Chen CT, Cooper MD, Mullan JF, Hekmatpanah J, Spire JP: The brain: Integrated three-dimensional display of MR and PET images. Radiology 172:783–789, 1989

    Google Scholar 

  31. Maciunas RH: (Frameless stereotactic) interactive image-guided neurosurgery. In Wilkins RH and Rengacharry SS (eds) Neurosurgery, McGraw-Hill, New York, 1996, pp. 4107–4118

    Google Scholar 

  32. Nabavi A, Black P, Kikinis R, Jolesz F: Brain shift in Neurosurgery. Neurosurgery, in press

    Google Scholar 

  33. Nikas DC, Bello L, Zamani AA, Black PM: Neurosurgical considerations in supratentorial low-grade gliomas: experience with 175 patients. Neurosurg Focus 4(4): Article 4, 1998

    Google Scholar 

  34. Payner TD, Tew JM, Steiger HJ: Instrumentation for microneurosurgery. In Wilkins RH and Rengacharry SS (eds) Neurosurgery, McGraw-Hill, New York, 1996, pp. 531–534

    Google Scholar 

  35. Piepmeier J, Christofer S, Spencer D et al: Variations in the natural history and survival of patients with supratentorial low-grade astrocytoma. Neurourgery 38:872–879, 1996

    Article  Google Scholar 

  36. Piepmeier JM: Observation of the current treatment of low-grade astrocytic tumors of the cerebral hemispheres. J Neurosurg 67:177–181, 1987

    Article  Google Scholar 

  37. Pietzrzyk U, Herholz K, Schuster A, von Stockhausen HM, Lucht H, Heiss WD: Clinical applications of registration and fusion of multimodality brain images from PET, SPECT, CT and MRI. Eur J Radiol, 31, 174–182, 1996

    Article  Google Scholar 

  38. Reicehental E, Feldman Z, Cohen ML et al: Hemispheric supratentorial low-grade astrocytoma. Neurochirurgia 35:18–22, 1992

    Google Scholar 

  39. Roberts DW, Strohbehn JW, Hatch JF, Murray W, Kettenberger H: A frameless stereotactic integration of computerized tomographic imaging and the operating microscope. J Neurosurg 65:545–549, 1986

    Article  Google Scholar 

  40. Tasher RR: Stereotactic surgery: principles and techniques. In Wilkins RH and Rengacharry SS (eds) Neurosurgery, McGraw-Hill, New York, 1996, pp.40694089

    Google Scholar 

  41. Warfield S, Robatino A, Dengler J, Jolesz F, Kikinis R: Nonlinear registration and template driven segmentation. In Brain Warping. Ed. Arthur W. Toga, Progressive Publishing Alternatives, 1998, pp. 67–84

    Google Scholar 

  42. Warfield SK, Kaus M, Jolesz FA, Kikinis R: Adaptive template moderated spatially varying statistical classification. In MICCAI98: First International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 231–238, Springer Verlag, October 11-13, 1998

    Google Scholar 

  43. Warfield SK: Real-time image segmentation for image-guided surgery. In SC98

    Google Scholar 

  44. Warfield SK, Ferrant M, Gallez X, Nabavi A, Jolesz FA, Kikinis R: Real-time biomechanical simulation of volumetric brain deformation for image guided Neurosurgery. In MICCAI 2000

    Google Scholar 

  45. Wells WM, Viola P, Atsumi H, Nakajama S, Kikinis R: Multi-modal volume registration by maximization of mutual information. Medical Image Analysis, 1(1):35–51

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA

    Ron Kikinis, Simon K. Warfield & Ferencz Jolesz

  2. Department of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA

    Ion-Florin Talos, Arya Nabavi, David G. Walker & Peter McL. Black

Authors
  1. Ron Kikinis
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ion-Florin Talos
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Simon K. Warfield
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Arya Nabavi
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. David G. Walker
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Ferencz Jolesz
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Peter McL. Black
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Institut für Medizinische Informatik, Medizinische Universität zu Lübeck, Ratzeburger Allee 160, 23538, Lübeck

    Heinz Handels

  2. Institut für Medizinische Statistik und Epidemiologie, Technische Universität München Klinikum rechts der Isar, Ismaninger Str. 22, 81657, München

    Alexander Horsch

  3. Institut für Medizinische Informatik, Universitätsklinikum der RWTH Aachen, 52057, Aachen

    Thomas Lehmann

  4. Abteilung für Medizinische und Biologische Informatik / H0100, Deutsches Krebsforschungszentrum, 69120, Heidelberg

    Hans-Peter Meinzer

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kikinis, R. et al. (2001). High Performance Computing in Image Guided Therapy. In: Handels, H., Horsch, A., Lehmann, T., Meinzer, HP. (eds) Bildverarbeitung für die Medizin 2001. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-56714-8_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-56714-8_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41690-6

  • Online ISBN: 978-3-642-56714-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation