Ruler Based Automatic C-Arm Image Stitching Without Overlapping Constraint

Chen, Cheng; Kojcev, Risto; Haschtmann, Daniel; Fekete, Tamas; Nolte, Lutz-Peter; Zheng, Guoyan (2015). Ruler Based Automatic C-Arm Image Stitching Without Overlapping Constraint. Journal of digital imaging, 28(4), pp. 474-480. Springer 10.1007/s10278-014-9763-3

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In this paper, we propose a new method for stitching multiple fluoroscopic images taken by a C-arm instrument. We employ an X-ray radiolucent ruler with numbered graduations while acquiring the images, and the image stitching is based on detecting and matching ruler parts in the images to the corresponding parts of a virtual ruler. To achieve this goal, we first detect the regular spaced graduations on the ruler and the numbers. After graduation labeling, for each image, we have the location and the associated number for every graduation on the ruler. Then, we initialize the panoramic X-ray image with the virtual ruler, and we “paste” each image by aligning the detected ruler part on the original image, to the corresponding part of the virtual ruler on the panoramic image. Our method is based on ruler matching but without the requirement of matching similar feature points in pairwise images, and thus, we do not
necessarily require overlap between the images. We tested our method on eight different datasets of X-ray images, including long bones and a complete spine. Qualitative and quantitative experiments show that our method achieves good results.

Item Type:

Journal Article (Original Article)


04 Faculty of Medicine > Pre-clinic Human Medicine > Institute for Surgical Technology & Biomechanics ISTB [discontinued]

UniBE Contributor:

Chen, Cheng, Kojcev, Risto, Haschtmann, Daniel, Nolte, Lutz-Peter, Zheng, Guoyan


500 Science > 570 Life sciences; biology
600 Technology > 610 Medicine & health
600 Technology > 620 Engineering








Guoyan Zheng

Date Deposited:

05 May 2015 14:37

Last Modified:

05 Dec 2022 14:46

Publisher DOI:





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