Skip to main content

Advertisement

SpringerLink
  • Log in
Book cover

Bildverarbeitung für die Medizin 2020 pp 314Cite as

  1. Home
  2. Bildverarbeitung für die Medizin 2020
  3. Conference paper
Abstract: Fiber Optical Shape Sensing of Flexible Instruments

Abstract: Fiber Optical Shape Sensing of Flexible Instruments

  • Sonja Jäckle7,
  • Tim Eixmann8,
  • Hinnerk Schulz-Hildebrandt8,9,10,
  • Gereon Hüttmann8,9,10 &
  • …
  • Torben Pätz11 
  • Conference paper
  • First Online: 12 February 2020
  • 1946 Accesses

  • 1 Citations

  • 3 Altmetric

Part of the Informatik aktuell book series (INFORMAT)

Zusammenfassung

For minimal invasive procedures like endovascular aortic repair procedures the instruments are navigated with 2D fluoroscopy imaging and digital subtraction angiography, which have several disadvantages. Optical fibers with fiber Bragg gratings (FBG), which allow to sense local strain respectively local curvature and bending angles, can be used for the guidance of medical tools to reduce the X-ray exposure and the used contrast agent. However, FBG-based shape sensing of flexible and long instruments is challenging and the computation includes many steps.

Download conference paper PDF

Literatur

  • Jäckle S, Eixmann T, Schulz-Hildebrandt H, et al. Fiber optical shape sensing of flexible instruments for endovascular navigation. Int J Comput Assist Radiol Surg. 2019;.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute for Digital Medicine, Fraunhofer MEVIS, Lübeck, Deutschland

    Sonja Jäckle

  2. Medizinisches Laserzentrum Lübeck GmbH, Lübeck, Deutschland

    Tim Eixmann, Hinnerk Schulz-Hildebrandt & Gereon Hüttmann

  3. Institute of Biomedical Optics, Universität zu Lübeck, Lübeck, Deutschland

    Hinnerk Schulz-Hildebrandt & Gereon Hüttmann

  4. DZL, German Center for Lung Research, Großhansdorf, Deutschland

    Hinnerk Schulz-Hildebrandt & Gereon Hüttmann

  5. Institute for Digital Medicine, Fraunhofer MEVIS, Bremen, Deutschland

    Torben Pätz

Authors
  1. Sonja Jäckle
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Tim Eixmann
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Hinnerk Schulz-Hildebrandt
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Gereon Hüttmann
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Torben Pätz
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Sonja Jäckle .

Editor information

Editors and Affiliations

  1. Institut für Medizinische Informatik, Charité - Universitätsmedizin Berlin, Berlin, Germany

    Prof. Dr. Thomas Tolxdorff

  2. Peter L. Reichertz Institut für Medizinische Informatik, Technische Universität Braunschweig, Braunschweig, Germany

    Prof. Dr. Thomas M. Deserno

  3. Institut für Medizinische Informatik, Universität zu Lübeck, Lübeck, Germany

    Prof. Dr. Heinz Handels

  4. Lehrstuhl für Mustererkennung, Friedrich-Alexander-Universität, Erlangen, Germany

    Prof. Dr. Andreas Maier

  5. Medical Image Computing, E230, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Germany

    Dr. Klaus H. Maier-Hein

  6. Fakultät für Informatik und Mathematik, Ostbayerische Technische Hochschule Regensburg, Regensburg, Germany

    Prof. Dr. Christoph Palm

Rights and permissions

Reprints and Permissions

Copyright information

© 2020 Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature

About this paper

Verify currency and authenticity via CrossMark

Cite this paper

Jäckle, S., Eixmann, T., Schulz-Hildebrandt, H., Hüttmann, G., Pätz, T. (2020). Abstract: Fiber Optical Shape Sensing of Flexible Instruments. In: Tolxdorff, T., Deserno, T., Handels, H., Maier, A., Maier-Hein, K., Palm, C. (eds) Bildverarbeitung für die Medizin 2020. Informatik aktuell. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-29267-6_70

Download citation

  • .RIS
  • .ENW
  • .BIB
  • DOI: https://doi.org/10.1007/978-3-658-29267-6_70

  • Published: 12 February 2020

  • Publisher Name: Springer Vieweg, Wiesbaden

  • Print ISBN: 978-3-658-29266-9

  • Online ISBN: 978-3-658-29267-6

  • eBook Packages: Computer Science and Engineering (German Language)

Share this paper

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

Over 10 million scientific documents at your fingertips

Switch Edition
  • Academic Edition
  • Corporate Edition
  • Home
  • Impressum
  • Legal information
  • Privacy statement
  • California Privacy Statement
  • How we use cookies
  • Manage cookies/Do not sell my data
  • Accessibility
  • FAQ
  • Contact us
  • Affiliate program

Not logged in - 34.238.189.240

Not affiliated

Springer Nature

© 2023 Springer Nature Switzerland AG. Part of Springer Nature.