gms | German Medical Science

55. Jahrestagung der Deutschen Gesellschaft für Neurochirurgie e. V. (DGNC)
1. Joint Meeting mit der Ungarischen Gesellschaft für Neurochirurgie

Deutsche Gesellschaft für Neurochirurgie (DGNC) e. V.

25. bis 28.04.2004, Köln

CT-MR-Fusion and 3D-Imaging of the temporal bone

CT-MR-Fusion und 3D-Bildgebung des Felsenbeines

Meeting Abstract

  • corresponding author Thomas Rodt - Abteilung Neurochirurgie, Medizinische Hochschule Hannover, Hannover
  • K. Peldschus - Abteilung Neuroradiologie, Medizinische Hochschule Hannover, Hannover
  • J. Kaminsky - Abteilung Neurochirurgie, Medizinische Hochschule Hannover, Hannover
  • S. Bartling - Abteilung Neuroradiologie, Medizinische Hochschule Hannover, Hannover
  • H. Matthies - Abteilung Medizinische Informatik, Medizinische Hochschule Hannover, Hannover
  • H. Becker - Abteilung Neuroradiologie, Medizinische Hochschule Hannover, Hannover
  • M. Zumkeller - Abteilung Neurochirurgie, Medizinische Hochschule Hannover, Hannover

Deutsche Gesellschaft für Neurochirurgie. Ungarische Gesellschaft für Neurochirurgie. 55. Jahrestagung der Deutschen Gesellschaft für Neurochirurgie e.V. (DGNC), 1. Joint Meeting mit der Ungarischen Gesellschaft für Neurochirurgie. Köln, 25.-28.04.2004. Düsseldorf, Köln: German Medical Science; 2004. DocMO.11.06

The electronic version of this article is the complete one and can be found online at: http://www.egms.de/en/meetings/dgnc2004/04dgnc0112.shtml

Published: April 23, 2004

© 2004 Rodt et al.
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Outline

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Objective

CT and MR data of the temporal bone provide complimentary information on relevant aspects of the temporal bone anatomy. The aim of this study was to demonstrate techniques to register and fuse CT and MR data of the temporal bone and assess the accuracy of a manual registration technique.

Methods

High resolution CT and MRI studies of the temporal bone of 26 patients (13 with normal findings and 13 with different temporal bone pathologies) were imported in the freely available software 3D-Slicer. Manual and automated registration and fusion techniques were applied. Time effort and robustness of the different techniques were compared and the registration consistency of a manual registration technique was assessed. 3D-Imaging of the registered data was performed using the Surface Rendering technique.

Results

CT-MR-Fusion allowed to present complimentary information of the two modalities in one data-set. Time effort ranged from 5-20 minutes per study. In the group of patients with normal findings consistency registration error CREi was 0.33mm (95% confidence interval (95% CI) = 0.25-0.42mm). For the group with pathological findings a CREii of 0.43mm (95% CI = 0.31-0.55mm) was found. Comparison of the two means of one observer demonstrated no significant difference (t[24] = -1.377; p = 0.181). The overall CRE of one observer (n=26) was 0.38mm (95% CI = 0.31-0.45mm). In the fused images the spatial relationship of acoustic neurinomas and the bony borders of the internal acoustic canal could be assessed. 3D surface rendered images allowed an assessment of fibrous structures relative to the bony surrounding structures.

Conclusions

Different techniques to register and fuse the complimentary information of CT and MR are feasible. In our study the manual registration and fusion technique combined robustness and accuracy. It improved the diagnostic value of CT and MRI. The method could be beneficial for diagnosis and surgical planning of pathologies of the temporal bone and adjacent structures.