Long Bone X-Ray Image Stitching Using Camera Augmented Mobile C-Arm
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 . 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.
KeywordsAugmented Reality Video Image Mechanical Axis Panoramic Image Bone Plane
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- 1.Navab, N., Mitschke, M., Bani-Hashemi, A.: Merging visible and invisible: Two camera-augmented mobile C-arm (CAMC) applications. In: Proc. IEEE and ACM Int’l Workshop on Augmented Reality, San Francisco, CA, USA, pp. 134–141 (1999)Google Scholar
- 5.Szeliski, R.: Image alignment and stitching: A tutorial. Technical report, Microsoft Research (2006)Google Scholar
- 6.Zhang, X., Fronz, S., Navab, N.: Visual marker detection and decoding in ar systems: A comparative study. In: IEEE International Symposium on Mixed and Augmented Reality (ISMAR 2002) (October 2002)Google Scholar