Interactive 3D Visualization of a Single-View X-Ray Image

  • Matthias Wieczorek
  • André Aichert
  • Pascal Fallavollita
  • Oliver Kutter
  • Ahmad Ahmadi
  • Lejing Wang
  • Nassir Navab
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6891)

Abstract

In this paper, we present an interactive X-Ray perceptual visualization technique (IXPV) to improve 3D perception in standard single-view X-Ray images. Based on a priori knowledge from CT data, we re-introduce lost depth information into the original single-view X-Ray image without jeopardizing information of the original X-Ray. We propose a novel approach that is suitable for correct fusion of intra-operative X-Ray and ultrasound, co-visualization of X-Ray and surgical tools, and for improving the 3D perception of standard radiographs. Phantom and animal cadaver datasets were used during experimentation to demonstrate the impact of our technique. Results from a questionnaire completed by 11 clinicians and computer scientists demonstrate the added value of introduced depth cues directly in an X-Ray image. In conclusion, we propose IXPV as a futuristic alternative to the standard radiographic image found in today’s clinical setting.

Keywords

Depth Perception Direct Volume Rendering Clipping Plane Digitally Reconstruct Radiograph Ultrasound Plane 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Matthias Wieczorek
    • 1
  • André Aichert
    • 1
  • Pascal Fallavollita
    • 1
  • Oliver Kutter
    • 2
  • Ahmad Ahmadi
    • 1
  • Lejing Wang
    • 1
  • Nassir Navab
    • 1
  1. 1.Computer Aided Medical Procedures (CAMP)Technische Universität MünchenMunichGermany
  2. 2.Siemens Corporate ResearchPrincetonUSA

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