Interactive 3d visualization of a single-view X-ray image

  • Authors:
  • Matthias Wieczorek;André Aichert;Pascal Fallavollita;Oliver Kutter;Ahmad Ahmadi;Lejing Wang;Nassir Navab

  • Affiliations:
  • Technische Universität München, Munich, Germany;Technische Universität München, Munich, Germany;Technische Universität München, Munich, Germany;Siemens Corporate Research, Princeton, NJ;Technische Universität München, Munich, Germany;Technische Universität München, Munich, Germany;Technische Universität München, Munich, Germany

  • Venue:
  • MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part I
  • Year:
  • 2011

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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 intraoperative 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.