Computer-assisted planning of nonlinear access paths for MUKNO

• Applicant: Professor Dr.-Ing. Dieter W. Fellner
• Subject Area: Automation, Mechatronics, Control Systems, Intelligent Technical Systems, Robotics ; Image and Language Processing, Computer Graphics and Visualisation, Human Computer Interaction, Ubiquitous and Wearable Computing
• Term: from 2010 to 2020
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 179880849

In the initial phase of the project we developed methods to plan straight access paths for multi-port bone surgery. These methods are now extended to nonlinear paths. This should allow for drilling canals with larger diameters while still maintaining the necessary safety distance to the risk structures. Here, it is important to constantly update the planning for the navigation. The image acquisition and segmentation of the risk structures are crucial requirements for an accurate planning. Therefore, we further improve upon the reconstruction for the C-arm. Additionally, the segmentation of the risk structures is extended to C-arm data and completed by an automatic detection of the risk structures in both modalities. Therewith we enable an accurate planning of nonlinear access paths for multi-port bone surgery.

• DFG Programme: Research Units
• Subproject of: FOR 1585: Multiport Bone Surgery at the Otobase
• Participating Person: Professor Dr.-Ing. Georgios Sakas