Skip to main content

Optimal C-arm Positioning for Aortic Interventions

  • Conference paper
  • First Online:
Bildverarbeitung für die Medizin 2015

Part of the book series: Informatik aktuell ((INFORMAT))

Abstract

Due to the continuous integration of innovative interventional imaging modalities into vascular surgery rooms, there is an urgent need for computer assisted interaction and visualization solutions that support the smooth integration of technological solutions within the surgical workflow. In this paper, we introduce a new paradigm for optimalview controlled maneuvering of Angiographic C-arms during thoracic endovascular aortic repair (TEVAR). This allows the semi-automatic pre-computation of well-defined anatomy-related optimal views based on pre-operative 3D image data and automatic interventional positioning of the imaging device relative to the patient’s anatomy through inverse kinematics and CT to patient registration. Together with our clinical partners, we have evaluated the new technique using 5 patient datasets and are able to show promising results.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 79.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 84.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Herbst M, Schebesch F, Berger M, et aJ., Improved trajectories in C-arm computed tomography for non-circular fields of view. Proc Int eonf Image Form X-ray Comput Thmogr. 2014; p. 274–8.

    Google Scholar 

  2. Xia Y, Maier A, Berger M, et al. Region of interest reconstruction from doseminimized super short scan data, Proc BVM, 2014j p. 48–53.

    Google Scholar 

  3. Stayman JW, Siewerdsen JH. Task-based trajectories in iteratively reconstructed interventional cone-beam CT. Proc Int Meet Fully Three-Dimens Image Reconstr Radiol Nllcl Med. 2013; p. 257–60.

    Google Scholar 

  4. Yu Z, Maier A, Schoenborn M, et al. Frist experimental reswts on long-object imaging using areverse helical trajectory with aC-arm system. Proc Int Conf Image Form X-ray Comput Tomogr. 2012; p. 364–8.

    Google Scholar 

  5. , Zeng GL. Medieal Image Reconstruction. Springer; 2010.

    Google Scholar 

  6. Tam KC, Samarasp.kera S, Sauer F. Exact ('..one beam CT with a spiral scan. Phys Med Biol. 1998;43(4):1015.

    Article  Google Scholar 

  7. Metzler SD, Bowsher JE, Jaszczak RJ. Geometrical similarities of the Orlov and Tuy sampling criteria and a numerical algorithm for assessing sampling completeness. IEEE Traus Nuc Sei. 2003;50:1550-".

    Article  Google Scholar 

  8. Liu B, Bennett J, Wang GI et al. Completeness map evaluation demonstrated with candidate moxt-generation cardiac CT architectures. Mcd Phys. 2012;39(5):2405–16.

    Google Scholar 

  9. 9, Saff EB, Kuijlaars ABJ. Distributing many points on a sphere. Math lutell. 1997;19(1):5–11.

    Google Scholar 

  10. 10, Maier A, Hofmann B, Berger M, et al. CONRAD: a software framework for conebeam imaging in radiology. Med Phys. 2013;40(11):111914–18.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Salvatore Virga .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Virga, S., Dogeanu, V., Fallavollita, P., Ghotbi, R., Navab, N., Demirci, S. (2015). Optimal C-arm Positioning for Aortic Interventions. In: Handels, H., Deserno, T., Meinzer, HP., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2015. Informatik aktuell. Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46224-9_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-46224-9_11

  • Published:

  • Publisher Name: Springer Vieweg, Berlin, Heidelberg

  • Print ISBN: 978-3-662-46223-2

  • Online ISBN: 978-3-662-46224-9

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

Publish with us

Policies and ethics