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Risk maps for navigation in liver surgery

: Hansen, C.; Zidowitz, S.; Schenk, A.; Oldhafer, K.J.; Lang, H.; Peitgen, H.-O.


Wong, K.H. (Hrsg.) ; Society of Photo-Optical Instrumentation Engineers -SPIE-, Bellingham/Wash.:
Medical Imaging 2010. Visualization, Image-Guided Procedures, and Modeling. Pt.2 : 14-16 February 2010, San Diego, California
Bellingham, WA: SPIE, 2010 (Proceedings of SPIE 7625)
ISBN: 978-0-8194-8026-2
ISSN: 1605-7422
Paper 762528
Medical Imaging Symposium <2010, San Diego/Calif.>
Fraunhofer MEVIS ()

The optimal transfer of preoperative planning data and risk evaluations to the operative site is challenging. A common practice is to use preoperative 3D planning models as a printout or as a presentation on a display. One important aspect is that these models were not developed to provide information in complex workspaces like the operating room. Our aim is to reduce the visual complexity of 3D planning models by mapping surgically relevant information onto a risk map. 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 the risk map. In addition, contour lines are used to accentuate shape and spatial depth. The resulting visualization is clear and intuitive, allowing for a fast mental mapping of the current resection surface to the risk map. Preliminary evaluations by liver surgeons indicate that damage to risk structures may be prevented and patient safety may be enhanced using the proposed methods.