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Chair of Visual Computing
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  1. Friedrich-Alexander-Universität
  2. Technische Fakultät
  3. Department Informatik

Chair of Visual Computing

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  • Research
    • Rendering and Visualization
    • Geometric Modeling and 3D Reconstruction
    • Virtual, Mixed, and Augmented Reality
    • Visual Computing for Digital Humanities and Social Sciences
    • Visual Healthcare Computing
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    • Vertiefungsrichtung Visual Computing
    • Summer Term 2025
    • Winter Term 2024/25
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  2. Publications
  3. Publications 2021
  4. Projection Mapping for In-Situ Surgery Planning by the Example of DIEP Flap Breast Reconstruction

Projection Mapping for In-Situ Surgery Planning by the Example of DIEP Flap Breast Reconstruction

In page navigation: Publications
  • Publications 2020
  • Publications 2021
    • ADOP: Approximate Differentiable One-Pixel Point Rendering
    • Efficient Unbiased Volume Path Tracing on the GPU
    • Interactive Path Tracing and Reconstruction of Sparse Volumes
    • Projection Mapping for In-Situ Surgery Planning by the Example of DIEP Flap Breast Reconstruction
    • Robust marker-based projector-camera synchronization
    • Scan&Paint: Image-based Projection Painting
    • Spatio-temporal filtered motion DAGs for path-tracing
  • Publications 2022

Projection Mapping for In-Situ Surgery Planning by the Example of DIEP Flap Breast Reconstruction

  • Martschinke J., Klein V., Kurth P., Engel K., Ludolph I., Hauck T., Horch RE., Stamminger M.:
    Projection Mapping for In-Situ Surgery Planning by the Example of DIEP Flap Breast Reconstruction
    Eurographics Workshop on Visual Computing for Biology and Medicine
    DOI: 10.2312/vcbm.20211354
    URL: https://www.lgdv.tf.fau.de/?p=2193
    BibTeX: Download

Jana Martschinke

M.Sc. Jana Martschinke

Department of Computer Science
Chair of Computer Science 9 (Computer Graphics)

Cauerstraße 11
91058 Erlangen
  • Email: jana.martschinke@fau.de
  • Website: http://lgdv.cs.fau.de/

Nowadays, many surgical procedures require preoperative planning, mostly relying on data from 3D imaging techniques like computed tomography or magnetic resonance imaging. However, preoperative assessment of this data is carried out on the PC (using classical CT/MR viewing software) and not on the patient’s body itself. Therefore, surgeons need to transfer both their overall understanding of the patient’s individual anatomy and also specific markers and labels for important points from
the PC to the patient only with the help of imaginative power or approximative measurement. In order to close the gap between preoperative planning on the PC and surgery on the patient, we propose a system to directly project preoperative knowledge to the body surface by projection mapping. As a result, we are able to display both assigned labels and a volumetric and view-dependent view of the 3D data in-situ. Furthermore, we offer a method to interactively navigate through the data and add 3D markers directly in the projected volumetric view. We demonstrate the benefits of our approach using DIEP flap breast reconstruction as an example. By means of a small pilot study, we show that our method outperforms standard surgical planning in accuracy and can easily be understood and utilized even by persons without any medical knowledge.

Chair of Visual Computing
(Lehrstuhl für Graphische Datenverarbeitung)

Cauerstraße 11
91058 Erlangen
Deutschland
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