Stereotactic and Functional Neurosurgery

Laboratory Investigation

Application Accuracy of Automatic Registration in Frameless Stereotaxy

Rachinger J. · von Keller B. · Ganslandt O. · Fahlbusch R. · Nimsky C.

Author affiliations

Department of Neurosurgery, University of Erlangen-Nürnberg, Erlangen, Germany

Keywords: Application accuracyIntraoperative magnetic resonance imagingRegistrationStereotaxy

Related Articles for ""
Stereotact Funct Neurosurg 2006;84:109–117
https://doi.org/10.1159/000094462

Log in to MyKarger to check if you already have access to this content.




Forgot your password
Sign up to MyKarger

Buy

  • FullText & PDF
  • Unlimited re-access via MyKarger
  • Unrestricted printing, no saving restrictions for personal use
read more
CHF 38.00 *
EUR 35.00 *
USD 39.00 *

Select

KAB

Buy a Karger Article Bundle (KAB) and profit from a discount!


If you would like to redeem your KAB credit, please log in.

Save over 20% compared to the individual article price.

Learn more

Rent/Cloud

  • Rent for 48h to view
  • Buy Cloud Access for unlimited viewing via different devices
  • Synchronizing in the ReadCube Cloud
  • Printing and saving restrictions apply
Rental: USD 8.50
Cloud: USD 20.00

Select

Subscribe

  • Access to all articles of the subscribed year(s) guaranteed for 5 years
  • Unlimited re-access via Subscriber Login or MyKarger
  • Unrestricted printing, no saving restrictions for personal use
read more

Subcription rates

Select
* The final prices may differ from the prices shown due to specifics of VAT rules.

Article / Publication Details

First-Page Preview
Abstract of Laboratory Investigation

Published online: August 03, 2006
Issue release date: July 2006

Number of Print Pages: 9
Number of Figures: 8
Number of Tables: 2

ISSN: 1011-6125 (Print)
eISSN: 1423-0372 (Online)

For additional information: https://www.karger.com/SFN

Abstract

Objective: We compared the application accuracy of an infrared-based neuronavigation system when used with a novel automatic registration with its application accuracy when standard fiducial-based registration is performed. Methods: The automatic referencing tool is based on markers that are integrated in the headrest holder we routinely use in our intraoperative magnetic resonance imaging (MRI) setting and can be detected by the navigation software automatically. For navigation targeting we used a Plexiglas phantom with 32 notched rods of different heights. The phantom was fixed in the head holder and multiple optimized gradient echo slices containing the clamp-integrated markers were acquired. After that we measured a T1 MPRAGE sequence with a slice thickness of 1.0 mm for navigation. The deepest points of the surface of the rods were defined as target points in image space. In three measurement series we referenced the phantom once with 4, once with 7 fiducials and twice automatically. In one series we performed only one automatic registration. The localization error was measured 3 times per rod and registration. Results: The median localization errors for standard registration with 7 fiducials were between 1.2 and 3.05 mm. With 4 fiducials, medians were in the range from 1.87 to 2.21 mm. For the automatic registration we obtained median localization errors between 0.88 and 2.13 mm. In 6 of the 8 samples that were compared the automatic registration showed an application accuracy that was highly significantly better (p < 0.001 in most cases) than that of fiducial-based standard registration. Conclusion: The application accuracy found for automatic referencing is at least not worse than that for standard registration no matter whether 4 or 7 fiducial markers were used. Therefore, its use in the operating room is feasible. In combination with intraoperative MRI it may become a favorable alternative to standard fiducial-based registration especially when an intraoperative update of navigation data is necessary.

© 2006 S. Karger AG, Basel



Related Articles:

References

  1. Horsley V, Clarke RH: The structures and functions of the cerebellum examined by a new method. Brain 1908;31:45–124.
    External Resources
  2. Spiegel EA, Wycis HAT, Marks M, Lee A: Stereotactic apparatus for operations on the human brain. Science 1947;106:349–350.
    External Resources
  3. Leksell L: Stereotaxic apparatus for intracerebral surgery. Acta Chir Scand 1949;99:229–233.
  4. Talairach J, Hecaen M, David M, Monnier M, Ajuriaguerra J: Recherches sur la coagulation therapeutique des structures sous-corticales chez l’homme. Rev Neurol 1949;81:4–24.
  5. Goerss S, Kelly PJ, Kall B, Alker KJ Jr: A computed tomographic stereotactic adaptation system. Neurosurgery 1982;10:375–379.
    External Resources
  6. Brown RA: A stereotactic head frame for use with CT body scanners. Invest Radiol 1979;14:300–304.
    External Resources
  7. Leksell D, Jernberg B: Stereotaxis and tomography: a technical note. Acta Neurochir 1980;52:1–7.
    External Resources
  8. Kelly PJ, Kall BA, Goerss S: Transposition of volumetric information derived from computed tomography scanning into stereotactic space. Surg Neurol 1984;21:465–471.
    External Resources
  9. Camacho A, Kelly PJ: Volumetric stereotactic resection of superficial and deep seated intraaxial brain lesions. Acta Neurochir Suppl 1992;54:83–88.
    External Resources
  10. Lyons MK, Kelly PJ: Computer-assisted stereotactic biopsy and volumetric resection of thalamic pilocytic astrocytomas: report of 23 cases. Stereotact Funct Neurosurg 1992;59:100–104.
    External Resources
  11. Kelly PJ, Kall BA, Goerss SJ: Results of computed tomography-based computer-assisted stereotactic resection of metastatic intracranial tumors. Neurosurgery 1988;22:7–17.
    External Resources
  12. Kelly PJ: Volumetric stereotactic surgical resection of intra-axial brain mass lesions. Mayo Clin Proc 1988;63:1186–1198.
    External Resources
  13. Watanabe E, Watanabe T, Manaka S, Mayanagi Y, Takakura K: Three-dimensional digitizer (neuronavigator): new equipment for computed tomography-guided stereotaxic surgery. Surg Neurol 1987;27:543–547.
    External Resources
  14. Giorgi C, Luzzara M, Casolino DS, Ongania E: A computer controlled stereotactic arm: virtual reality in neurosurgical procedures. Acta Neurochir Suppl 1993;58:75–76.
    External Resources
  15. Reinhardt HF, Meyer H, Amrein E: A computer-assisted device for the intraoperative CT-correlated localization of brain tumors. Eur Surg Res 1988;51–58.
    External Resources
  16. Barnett GH, Miller DW, Weisenberger J: Frameless stereotaxy with scalp-applied fiducial markers for brain biopsy procedures: experience in 218 cases. J Neurosurg 1999;91:569–576.
    External Resources
  17. Wolfsberger S, Rossler K, Regatschnig R, Ungersbock K: Anatomical landmarks for image registration in frameless stereotactic neuronavigation. Neurosurg Rev 2002;25:68–72.
    External Resources
  18. Villalobos H, Germano IM: Clinical evaluation of multimodality registration in frameless stereotaxy. Comput Aided Surg 1999;4:45–49.
    External Resources
  19. Raabe A, Krishnan R, Wolff R, Hermann E, Zimmermann M, Seifert V: Laser surface scanning for patient registration in intracranial image-guided surgery. Neurosurgery 2002;50:797–801.
    External Resources
  20. Kozak J, Nesper M, Fischer M, Lutze T, Goggelmann A, Hassfeld S, Wetter T: Semiautomated registration using new markers for assessing accuracy of a navigation system. Comput Aided Surg 2002;7:11–24.
    External Resources
  21. Nimsky C, Ganslandt O, Cerny S, Hastreiter P, Greiner G, Fahlbusch R: Quantification of, visualization of, and compensation for brain shift using intraoperative magnetic resonance imaging. Neurosurgery 2000;47:1070–1079.
    External Resources
  22. Nabavi A, Black PM, Gering DT, Westin CF, Mehta V, Pergolizzi RS Jr, Ferrant M, Warfield SK, Hata N, Schwartz RB, Wells WM 3rd, Kikinis R, Jolesz FA: Serial intraoperative magnetic resonance image of brain shift. Neurosurgery 2001;48:787–797.
    External Resources
  23. Nimsky C, Ganslandt O, Hastreiter P, Fahlbusch R: Intraoperative compensation for brain shift. Surg Neurol 2001;56:406–407.
    External Resources
  24. Nimsky C, Ganslandt O, von Keller B, Romstoeck J, Fahlbusch R: Intraoperative high-field-strength MR imaging: implementation and experience in 200 patients. Radiology 2004;233:67–78.
    External Resources
  25. Steinmeier R, Rachinger J, Kaus M, Ganslandt O, Huk W, Fahlbusch R: Factors influencing the application accuracy of neuronavigation systems. Stereotact Funct Neurosurg 2000;75:188–202.
    External Resources
  26. Dorward NL, Alberti O, Palmer JD, Kitchen ND, Thomas DG: Accuracy of true frameless stereotaxy: in vivo measurement and laboratory phantom studies. Technical note. J Neurosurg 1999;90:160–168.
    External Resources
  27. Zinreich SJ, Tebo SA, Long DM, Brem H, Mattox DE, Loury ME, van der Kolk CA, Koch WM, Kennedy DW, Bryan RN: Frameless stereotaxic integration of CT imaging data: accuracy and initial applications. Radiology 1993;188:735–742.
    External Resources
  28. Lindseth F, Lango T, Bang J, Nagelhus Hernes TA: Accuracy evaluation of a 3D ultrasound based neuronavigation system. Comput Aided Surg 2002;7:197–222.
    External Resources
  29. Sumanaweera TS, Adler JR, Napel S, Glover GH: Characterization of spatial distortion in magnetic resonance imaging and its implications for stereotactic surgery. Neurosurgery 1994;35:696–704.
    External Resources
  30. Reinges MH, Nguyen HH, Krings T, Hutter BO, Rohde V, Gilsbach JM: Course of brain shift during microsurgical resection of supratentorial cerebral lesions: limits of conventional neuronavigation. Acta Neurochir 2004;146:369–377.
    External Resources
  31. Nakao N, Nakai K, Itakura T: Updating of neuronavigation based on images intraoperatively acquired with a mobile computerized tomographic scanner: technical note. Minim Invasive Neurosurg 2003;46:117–120.
    External Resources
  32. Keles GE, Lamborn KR, Berger MS: Coregistration accuracy and detection of brain shift using intraoperative sononavigation during resection of hemispheric tumors. Neurosurgery 2003;53:556–562.
    External Resources
  33. Lindseth F, Kaspersen JH, Ommedal S, Lango T, Bang J, Hokland J, Unsgaard G, Hernes TA: Multimodal image fusion in ultrasound-based neuronavigation: improving overview and interpretation by integrating preoperative MRI with 3D ultrasound. Comput Aided Surg 2003;8:49–69.
    External Resources

Article / Publication Details

First-Page Preview
Abstract of Laboratory Investigation

Published online: August 03, 2006
Issue release date: July 2006

Number of Print Pages: 9
Number of Figures: 8
Number of Tables: 2

ISSN: 1011-6125 (Print)
eISSN: 1423-0372 (Online)

For additional information: https://www.karger.com/SFN

Copyright / Drug Dosage / Disclaimer

Copyright: All rights reserved. No part of this publication may be translated into other languages, reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying, recording, microcopying, or by any information storage and retrieval system, without permission in writing from the publisher.
Drug Dosage: The authors and the publisher have exerted every effort to ensure that drug selection and dosage set forth in this text are in accord with current recommendations and practice at the time of publication. However, in view of ongoing research, changes in government regulations, and the constant flow of information relating to drug therapy and drug reactions, the reader is urged to check the package insert for each drug for any changes in indications and dosage and for added warnings and precautions. This is particularly important when the recommended agent is a new and/or infrequently employed drug.
Disclaimer: The statements, opinions and data contained in this publication are solely those of the individual authors and contributors and not of the publishers and the editor(s). The appearance of advertisements or/and product references in the publication is not a warranty, endorsement, or approval of the products or services advertised or of their effectiveness, quality or safety. The publisher and the editor(s) disclaim responsibility for any injury to persons or property resulting from any ideas, methods, instructions or products referred to in the content or advertisements.

Article Tools
Article Details

2006, Vol.84, No. 2-3

July 2006

Article

Recommend This
TOP