Long Bone X-Ray Image Stitching Using Camera Augmented Mobile C-Arm

  • Authors:

  • Lejing Wang;Joerg Traub;Sandro Michael Heining;Selim Benhimane;Ekkehard Euler;Rainer Graumann;Nassir Navab

  • Affiliations:

  • Chair for Computer Aided Medical Procedures (CAMP), TU Munich, Germany;Chair for Computer Aided Medical Procedures (CAMP), TU Munich, Germany;Trauma Surgery Department, Klinikum Innenstadt, LMU Munich, Germany;Chair for Computer Aided Medical Procedures (CAMP), TU Munich, Germany;Trauma Surgery Department, Klinikum Innenstadt, LMU Munich, Germany;Siemens SP, Siemens Medical Solutions, Erlangen, Germany;Chair for Computer Aided Medical Procedures (CAMP), TU Munich, Germany

  • Venue:
  • MICCAI '08 Proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, Part II
  • Year:
  • 2008

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Abstract

X-ray images are widely used during surgery for long bone fracture fixation. Mobile C-arms provide X-ray images which are used to determine the quality of trauma reduction, i.e. the extremity length and mechanical axis of long bones. Standard X-ray images have a narrow field of view and can not visualize the entire long bone on a single image. In this paper, we propose a novel method to generate panoramic X-ray images in real time by using the previously introduced Camera Augmented Mobile C-arm [1]. This advanced mobile C-arm system acquires registered X-ray and optical images by construction, which facilitates the generation of panoramic X-ray images based on first stitching the optical images and then embedding the X-ray images. We additionally introduce a method to reduce the parallax effect that leads to the blurring and measurement error on panoramic X-ray images. Visual marker tracking is employed to automatically stitch the sequence of video images and to rectify images. Our proposed method is suitable for intra-operative usage generating panoramic X-ray images, which enable metric measurements, with less radiation and without requirement of fronto-parallel setup and overlapping X-ray images. The results show that the panoramic X-ray images generated by our method are accurate enough (errors less than 1%) for metric measurements and suitable for many clinical applications in trauma reduction.