Abstract
The post-operative validation of deep brain stimulation electrode displacement and deformation is an important task towards improved DBS targeting. In this paper a method is proposed to align models of deep brain stimulation electrodes that are automatically extracted from post-operative CT imaging in a common coordinate system utilizing the planning data as reference. This enables the assessment of electrode displacement and deformation over the whole length of the trajectory with respect to the pre-operative planning. Accordingly, it enables the estimation of plan deviations in the surgical process as well as cross-patient statistics on electrode deformation, e.g. the bending induced by brain-shift.
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References
Miyagi Y, Shima F, Sasaki T. Brain shift: an error factor during implantation of deep brain stimulation electrodes. J Neurosurg. 2007;107(5):989–97.
Bjartmarz H, Rehncrona S. Comparison of accuracy and precision between framebased and frameless stereotactic navigation for deep brain stimulation electrode implantation. Stereotact Funct Neurosurg. 2007;85(5):235–42.
Lalys F, Haegelen C, D’albis T, et al. Analysis of electrode deformations in deep brain stimulation surgery. Int J Comput Assist Radiol Surg. 2014;9(1):107–17.
Grunert P, M¨aurer J, M¨uller-Forell W. Accuracy of stereotactic coordinate transformation using a localisation frame and CT imaging. Neuros Rev. 1999;22(4):173–87.
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Husch, A., Gemmar, P., Lohscheller, J., Bernard, F., Hertel, F. (2015). Assessment of Electrode Displacement and Deformation with Respect to Pre-Operative Planning in Deep Brain Stimulation. In: Handels, H., Deserno, T., Meinzer, HP., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2015. Informatik aktuell. Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46224-9_15
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DOI: https://doi.org/10.1007/978-3-662-46224-9_15
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Publisher Name: Springer Vieweg, Berlin, Heidelberg
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Online ISBN: 978-3-662-46224-9
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