• Tobias Meyer, Julia Kuß, Falk Uhlemann, Stefan Wagner, Matthias Kirsch, Stephan B Sobottka, Ralf Steinmeier, Gabriele Schackert, and Ute Morgenstern.
• Institute of Biomedical Engineering, Faculty of Electrical Engineering and Information Technology, Technische Universität Dresden, Dresden, Germany. tobias.meyer1@tu-dresden.de
• Biomed Tech (Berl). 2013 Jun 1;58(3):281-91.

AbstractA demonstrator system for planning neurosurgical procedures was developed based on commercial hardware and software. The system combines an easy-to-use environment for surgical planning with high-end visualization and the opportunity to analyze data sets for research purposes. The demonstrator system is based on the software AMIRA. Specific algorithms for segmentation, elastic registration, and visualization have been implemented and adapted to the clinical workflow. Modules from AMIRA and the image processing library Insight Segmentation and Registration Toolkit (ITK) can be combined to solve various image processing tasks. Customized modules tailored to specific clinical problems can easily be implemented using the AMIRA application programming interface and a self-developed framework for ITK filters. Visualization is done via autostereoscopic displays, which provide a 3D impression without viewing aids. A Spaceball device allows a comfortable, intuitive way of navigation in the data sets. Via an interface to a neurosurgical navigation system, the demonstrator system can be used intraoperatively. The precision, applicability, and benefit of the demonstrator system for planning of neurosurgical interventions and for neurosurgical research were successfully evaluated by neurosurgeons using phantom and patient data sets.

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