Transactions on Additive Manufacturing Meets Medicine
Vol 3 No 1 (2021): Trans. AMMM
https://doi.org/10.18416/AMMM.2021.2109502

Medical Phantoms for Planning, Training, and Quality Assurance, ID 502

Advanced training scenarios for liver surgery with realistic interactive 3D-printed phantoms

Main Article Content

Hans Nopper (cirp GmbH, Department Research and Development, Heimsheim, Germany), Olav Schendel (cirp GmbH, Department Research and Development, Heimsheim, Germany), Fatma Karayagiz (cirp GmbH, Department Research and Development, Heimsheim, Germany), Ubiratan Freitas (cirp GmbH, Department Research and Development, Heimsheim, Germany), Thomas Lück (cirp GmbH, Department Research and Development, Heimsheim, Germany), Tim Stadie (SZENARIS GmbH, Bremen, Germany), Marie Lampe (SZENARIS GmbH, Bremen, Germany), Anke Reinschluessel (Digital Media Lab, University of Bremen, Bremen, Germany), Tanja Doering (Digital Media Lab, University of Bremen, Bremen, Germany), Daniela Salzmann (University Hospital for Visceral Surgery, Pius-Hospital Oldenburg, Oldenburg, Germany), Dirk Weyhe (University Hospital for Visceral Surgery, Pius-Hospital Oldenburg, Oldenburg, Germany)

Abstract

Realistic surgery phantoms possess the potential to improve medical training and as a result improve surgery outcomes, reduce operation time and minimize patient risks. In this work, we developed a training scenario within visceral surgery, implementing lifelike liver phantoms using a hybrid manufacturing approach combining collagen-based casting and 3D-printing. Being equipped with integrated sensors, we developed a feedback system to assess the performance of the trained procedure. This could lead to a new paradigm within visceral surgery training.

Article Details

How to Cite

Nopper, H., Schendel, O. ., Karayagiz, F., Freitas, U. ., Lück, T., Stadie, T., Lampe, M., Reinschluessel, A., Doering, T., Salzmann, D., & Weyhe, D. (2021). Advanced training scenarios for liver surgery with realistic interactive 3D-printed phantoms. Transactions on Additive Manufacturing Meets Medicine, 3(1), 502. https://doi.org/10.18416/AMMM.2021.2109502

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