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Model-Guided Placement of Cerebral Ventricular Catheters

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Information Processing in Computer-Assisted Interventions (IPCAI 2013)

Abstract

Purpose: Freehand placement of external ventricular drainage is not sufficiently accurate and precise. In the absence of high quality pre-operative 3D images, we propose the use of an average model for guidance of ventricular catheters. Methods: The model was segmented to extract the ventricles and registered to five normal volunteers using a combination of landmark based and surface based registration. The proposed method was validated by comparing the use of the average model to the use of volunteer-specific images. Results: The position and orientation of the ventricles were compared and the distances between the target points at the left and right foramen of Monroe were computed (Mean±std: 5.65±1.60mm and 6.05±1.34mm for the left and right side respectively). Conclusions: Although an average model for guidance of a surgical procedure has a number of limitations, our initial experiments show that the use of a model might provide sufficient guidance for determination of the angle of insertion. Future work will include further clinical testing and possible refinement of the model.

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References

  1. Toma, A.K., et al.: External Ventricular Drain Insertion Accuracy: Is There a Need for Change in Practice? Neurosurgery 65(6), 1197–1201 (2009)

    Article  MathSciNet  Google Scholar 

  2. Huyette, D.R., et al.: Accuracy of the freehand pass technique for ventriculostomy catheter placement: retrospective assessment using computer tomography scans. J. of Neurosurg. 108, 88–91 (2008)

    Article  Google Scholar 

  3. Hayhurst, C., et al.: Application of electromagnetic technology to neuronavigation: a revolution in image-guided neurosurgery. J. of Neurosurg. 111, 1179–1184 (2009)

    Article  Google Scholar 

  4. Hayhurst, C., et al.: Effect of electromagnetic-navigated shunt placement on failure rates: a prospective multicenter study. J. of Neurosurg. (April 2010)

    Google Scholar 

  5. Levitt, M.R., et al.: Image-guided cerebrospinal fluid shunting in children: catheter accuracy and shunt survival. J. of Neurosurg.: Pediatrics 10 (August 2012)

    Google Scholar 

  6. Kestle, J.R.W.: Editorial: Shunt malfunction. J. of Neurosurg. 113 (December 2010)

    Google Scholar 

  7. Fonov, V.S., et al.: Unbiased average age-appropriate atlases for pediatric studies. NeuroImage 54(1) (2011)

    Google Scholar 

  8. Fonov, V.S., et al.: Unbiased nonlinear average age-appropriate brain templates from birth to adulthood. NeuroImage 47(1), S102 (2009)

    Google Scholar 

  9. Reinertsen, I., et al.: A new system for 3D ultrasound-guided placement of cerebral ventricle catheters. IJCARS 7(1) (2012)

    Google Scholar 

  10. Guimond, A., et al.: Average brain models: A Convergence Study. Computer Vision and Image Understanding 77(2), 192–210 (1999)

    Article  Google Scholar 

  11. Bullitt, E., et al.: Vessel tortuosity and brain tumor malignancy: A blinded study. Academic Radiology 12, 1232–1240 (2005)

    Article  Google Scholar 

  12. Grabner, G., Janke, A.L., Budge, M.M., Smith, D., Pruessner, J.C., Collins, D.L.: Symmetric Atlasing and Model Based Segmentation: An Application to the Hippocampus in Older Adults. In: Larsen, R., Nielsen, M., Sporring, J., et al. (eds.) MICCAI 2006. LNCS, vol. 4191, pp. 58–66. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  13. Collins, D.L., et al.: Automatic 3D Model-Based Neuroanatomical Segmentation. Human Brain Mapping 3, 190–208 (1995)

    Article  Google Scholar 

  14. Fischl, B., et al.: Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain. Neuron 33, 341–355 (2002)

    Article  Google Scholar 

  15. Fischl, B., et al.: Sequence-independent segmentation of magnetic resonance images. Neuroimage 23(suppl. 1), S69–S84 (2004)

    Google Scholar 

  16. Pieper, S., et al.: The NA-MIC Kit: ITK, VTK, Pipelines, Grids and 3D Slicer as an Open Platform for the Medical Image Computing Community. Proceedings of IEEE From Nano to Macro 2006 1, 698–701 (2006)

    Google Scholar 

  17. Otsu, N.: A threshold selection method from gray-level histograms. IEEE Trans- actions on Systems, Man and Cybernetics 9(1), 62–66 (1979)

    Article  MathSciNet  Google Scholar 

  18. Klein, S., et al.: elastix: a toolbox for intensity-based medical image registration. IEEE Trans. Med. Imaging 29, 196–205 (2010)

    Article  Google Scholar 

  19. Ibanez, L., et al.: The ITK Software Guide: The Insight Segmentation and Registration Toolkit, New York (2005)

    Google Scholar 

  20. Besl, P.J., McKay, N.D.: A Method for Registration of 3D Shapes. IEEE Trans. on PAMI 14, 239–256 (1992)

    Article  Google Scholar 

  21. Rousseeuw, P.J., Annick, M.L.L.R.: Robust Regression and Outlier Detection (1987)

    Google Scholar 

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Reinertsen, I., Jakola, A., Solheim, O., Lindseth, F., Unsgård, G. (2013). Model-Guided Placement of Cerebral Ventricular Catheters. In: Barratt, D., Cotin, S., Fichtinger, G., Jannin, P., Navab, N. (eds) Information Processing in Computer-Assisted Interventions. IPCAI 2013. Lecture Notes in Computer Science, vol 7915. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38568-1_4

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  • DOI: https://doi.org/10.1007/978-3-642-38568-1_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38567-4

  • Online ISBN: 978-3-642-38568-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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