naa a22 4500 510807321 CHVBK 20180411083424.0 cr unu---uuuuu 180411e20130501xx s 000 0 eng 10.1007/s11548-012-0790-6 doi (NATIONALLICENCE)springer-10.1007/s11548-012-0790-6 Risk maps for liver surgery [Elektronische Daten] [Christian Hansen, Stephan Zidowitz, Felix Ritter, Christoph Lange, Karl Oldhafer, Horst Hahn] Purpose Optimal display of surgical planning data in the operating room is challenging. In liver surgery, an expressive and effective intraoperative visualization of 3D planning models is still a pressing need. The objective of this work is to visualize surgical planning information using a map display. Methods An approach for risk analysis and visualization of planning models is presented which provides relevant information at a glance without the need for user interaction. Therefore, we present methods for the identification and classification of critical anatomical structures in the proximity of a preoperatively planned resection surface. Shadow-like distance indicators are introduced to encode the distance from the resection surface to these critical structures on a risk map. The work is demonstrated with examples in liver resection surgery and evaluated within two user studies. Results The results of the performed user studies show that the proposed visualization techniques facilitate the process of risk assessment in liver resection surgery and might be a valuable extension to surgical navigations system. Conclusion The approach provides a new and objective basis for the assessment of risks during liver surgery and has the potential to improve the outcome of surgical interventions. CARS, 2012 Computer-assisted surgery nationallicence Medical visualization nationallicence Image-guided surgery nationallicence Liver surgery planning nationallicence Hansen Christian Fraunhofer MEVIS, Insitute for Medical Image Computing, Bremen, Germany aut Zidowitz Stephan Fraunhofer MEVIS, Insitute for Medical Image Computing, Bremen, Germany aut Ritter Felix Fraunhofer MEVIS, Insitute for Medical Image Computing, Bremen, Germany aut Lange Christoph Fraunhofer MEVIS, Insitute for Medical Image Computing, Bremen, Germany aut Oldhafer Karl Department of General and Abdominal Surgery, Asklepios Clinic Barmbek, Hamburg, Germany aut Hahn Horst Fraunhofer MEVIS, Insitute for Medical Image Computing, Bremen, Germany aut International Journal of Computer Assisted Radiology and Surgery Springer-Verlag 8/3(2013-05-01), 419-428 1861-6410 8:3<419 2013 8 11548 https://doi.org/10.1007/s11548-012-0790-6 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11548-012-0790-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Hansen Christian Fraunhofer MEVIS, Insitute for Medical Image Computing, Bremen, Germany aut NATIONALLICENCE 700 1- Zidowitz Stephan Fraunhofer MEVIS, Insitute for Medical Image Computing, Bremen, Germany aut NATIONALLICENCE 700 1- Ritter Felix Fraunhofer MEVIS, Insitute for Medical Image Computing, Bremen, Germany aut NATIONALLICENCE 700 1- Lange Christoph Fraunhofer MEVIS, Insitute for Medical Image Computing, Bremen, Germany aut NATIONALLICENCE 700 1- Oldhafer Karl Department of General and Abdominal Surgery, Asklepios Clinic Barmbek, Hamburg, Germany aut NATIONALLICENCE 700 1- Hahn Horst Fraunhofer MEVIS, Insitute for Medical Image Computing, Bremen, Germany aut NATIONALLICENCE 773 0- International Journal of Computer Assisted Radiology and Surgery Springer-Verlag 8/3(2013-05-01), 419-428 1861-6410 8:3<419 2013 8 11548 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer