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Proceedings Paper

Automated reconstruction of standing posture panoramas from multi-sector long limb x-ray images
Author(s): Linzey Miller; Caroline Trier; Yehuda K. Ben-Zikri; Cristian A. Linte
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Paper Abstract

Due to the digital X-ray imaging system's limited field of view, several individual sector images are required to capture the posture of an individual in standing position. These images are then “stitched together” to reconstruct the standing posture. We have created an image processing application that automates the stitching, therefore minimizing user input, optimizing workflow, and reducing human error. The application begins with pre-processing the input images by removing artifacts, filtering out isolated noisy regions, and amplifying a seamless bone edge. The resulting binary images are then registered together using a rigid-body intensity based registration algorithm. The identified registration transformations are then used to map the original sector images into the panorama image. Our method focuses primarily on the use of the anatomical content of the images to generate the panoramas as opposed to using external markers employed to aid with the alignment process. Currently, results show robust edge detection prior to registration and we have tested our approach by comparing the resulting automatically-stitched panoramas to the manually stitched panoramas in terms of registration parameters, target registration error of homologous markers, and the homogeneity of the digitally subtracted automatically- and manually-stitched images using 26 patient datasets.

Paper Details

Date Published: 29 March 2016
PDF: 8 pages
Proc. SPIE 9788, Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, 97880B (29 March 2016); doi: 10.1117/12.2217742
Show Author Affiliations
Linzey Miller, Rochester Institute of Technology (United States)
Caroline Trier, Washington Univ. in St. Louis (United States)
Yehuda K. Ben-Zikri, Rochester Institute of Technology (United States)
Cristian A. Linte, Rochester Institute of Technology (United States)


Published in SPIE Proceedings Vol. 9788:
Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging
Barjor Gimi; Andrzej Krol, Editor(s)

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