National research project on individualized precision surgery for soft tissue with a focus on liver surgery and interventions. Transfer of image-based, pre-operative planning data into the surgical and/or interventional situs and utilization for intra-operative navigation. The consortium comprises more than 20 partners from medicine, research and industry. www.somit-fusion.de
Partner:
Clinical Partners in Berlin (Charité), Celle, Duesseldorf, Essen, Hamburg, Luebeck
Institute of Mathematics, University of Luebeck
Micro Technology and Medical Device Technology (MiMed), TU Munich
Fraunhofer Institute for Applied Information Technology, Sankt Augustin
Institute for Robotics und Cognitive Systems, University of Luebeck
Department of Simulation und Graphics, University of Magdeburg
Siemens Healthcare, Erlangen
Funding:
Federal Ministry of Education and Research (BMBF)
Contact:
Dr. Stephan Zidowitz
Modern imaging techniques, especially 3D analysis of vascular territories have led to a better understanding of the functional anatomy of the liver. Surgeons can plan the resections virtually and estimate the consequences of different resection strategies. Recent research focuses on transferring the virtual plan to the operation site. This is made possible by using stereotactic navigation techniques combined with intraoperative ultrasound.
Partner:
Clinical partners in Berlin (Charité), Celle, Mainz, Hamburg, Luebeck
Institute of Mathematics, University of Luebeck
Micro Technology and Medical Device Technology (MiMed), TU Muenchen
Institute for Robotics und Cognitive Systems, University of Luebeck
Funding:
Federal Ministry of Education and Research (BMBF)
Contact:
Christian Hansen
Software algorithms for individual pre-interventional planning of image-guided radio-frequency ablation will be developed. Current research focuses on the transfer of planning data to an ultrasound-based navigation platform to support decision making during intervention. Furthermore, in a post-interventional assessment setting, diagnostic images are used for the evaluation of the radio-frequency ablation result.
Partner:
Universitätsklinikum Düsseldorf
Fraunhofer Institute for Applied Information Technology, Sankt Augustin
Funding:
Federal Ministry of Education and Research (BMBF)
Contact:
Christian Rieder
Partners:
Departments of Surgery and Radiology, University Hospital Essen
Clinical Research Unit KFO 117
Funding:
German Research Foundation (DFG) - Clinical Research Unit KFO 117 „Optimization of living-related liver transplantation“
Contact:
Milo Hindennach, Andrea Schenk
Radio-frequency (RF) ablation is a local and minimally invasive thermo-ablation technique for the treatment of tumor diseases. Our current investigation contains the improvement of the simulation model, and an optimization of the position and orientation of the RF probe. Moreover, an analysis of the sensitivity of the optimal probe placement with respect to uncertain tissue properties, and the development of a method for identifying patient individual tissue parameters are fields of our ongoing research.
Partner:
Center of Complex Systems and Visualization (CeVis), University of Bremen
AG Optimierung und Optimale Steuerung, ZeTeM, University of Bremen
Funding:
German Research Foundation (DFG-SPP 1253)
Contact:
Prof. Dr. Tobias Preusser
Based on serial histological sections, software algorithms for the automatic analysis and three-dimensional visualization of morphological data will be developed. This will not only lead to a deeper understanding of the regulatory influence of focally impaired liver perfusion on liver regeneration in terms of volume and vascular regeneration, but also in terms of the spatial distribution of molecular processes during the course of liver regeneration.
Partner:
PD Dr. Uta Dahmen, Dept. of General, Visceral, and Transplantation Surgery, University Hospital of Essen
Funding:
German Research Foundation (DFG)
Contact:
Andrea Schenk
In this project, we develop a panning system for radiofrequency ablation (RFA) which computes the intervention result by means of a mathematical model based on partial differential equations. The goal is to assist the physician in the therapy decision as well as the choice and placement of RF applicators.
Partner:
Surgical Clinic I, Charité -- Campus Benjamin Franklin, Berlin
Funding:
German Research Foundation (DFG)
Contact:
Dr. Tim Kroeger
