Abstract
Neurovascular compression syndromes (NVC) result from a compression of the entry/exit zone of cranial nerves by a vessel at the surface of the brainstem. Surgical intervention planning (SIP) for NVC enables a comprehensive spatial understanding of the patient specific anatomy. Specifically, brainstem, vessels and nerves are segmented in NVC SIP. To support segmentation for NVC SIP, we propose a wizardbased user guidance. The SIP-NVC-Wizard guides the user through the patient’s individual anatomy and segmentations, and translates the parameter tuning into adequate medical terminology. We were able to show pathological nerve-vessel-contact in ten NVC cases producing results comparable to conventional NVC SIP, and performed a pilot-study to evaluate usability and functionality of the proposed wizard. With the SIP-NVC-Wizard our subjects were able to perform a NVC SIP without any knowledge in image processing. Anatomical beginners showed a steep learning curve. Time was reduced to 34 minutes compared to 1-2 hours for conventional NVC SIP.
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References
Hastreiter P, Naraghi R, Tomandl B, et al. 3D-visualization and registration for neurovascular compression syndrome analysis. Proc MICCAI. 2002; p. 396–403.
Hastreiter P, Naraghi R, Tomandl B, et al. Analysis and 3-dimensional visualization of neurovascular compression syndromes. Acad Radiol. 2003;10(12):1369–79.
Hastreiter P, Vega Higuera F, Tomandl B, et al. Advanced and standardized evaluation of neurovascular compression syndromes. Proc SPIE. 2004; p. 5367.
Tidwell J. Designing Interfaces. O’Reilly; 2007.
Franz D, Hofer M, Pfeifle M, et al. A wizard-based segmentation approach for cochlear implant planning. Proc BVM. 2014; p. 258–63.
Loening A, Sanjiv G. AMIDE: a free software tool for multimodality medical image analysis. Int J Mol Imag. 2003; p. 131–7.
Ahmadi SA, Pisana F, DeMomi E, et al. User friendly graphical user interface for workflow management during navigated robotic-assisted keyhole neurosurgery. Proc CARS. 2010.
Xu A, Wang L, Feng S, et al. Threshold-Based level set method of image segmentation. Proc Intell Netw Intell Syst. 2010; p. 703–6.
Sato Y, Nakajima S, Atsumi H, et al. 3D Multi-scale line filter for segmentation and visualization of curvilinear structures in medical images. Proc Joint Conf CV, VR, Robot Med Med Robot CAS. 1997; p. 213–22.
Gediga G, Hamborg K, D¨untsch I. The IsoMetrics usability inventory: an operationalisation of ISO 9241-10. Behav Inf Technol. 1999;18:151–64.
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Franz, D., Syré, L., Paulus, D., Bischoff, B., Wittenberg, T., Hastreiter, P. (2015). The SIP-NVC-Wizard. 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_13
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DOI: https://doi.org/10.1007/978-3-662-46224-9_13
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