Ms. Linzey Miller Profile

Linzey Miller

Undergrad at Rochester Institute of Technology

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Proceedings Article | 29 March 2016 Paper

Automated reconstruction of standing posture panoramas from multi-sector long limb x-ray images

Linzey Miller, Caroline Trier, Yehuda Ben-Zikri, Cristian Linte

Proceedings Volume 9788, 97880B (2016) https://doi.org/10.1117/12.2217742

KEYWORDS: Image registration, Panoramic photography, Image segmentation, Image processing, Edge detection, Bone, Digital x-ray imaging, Image filtering, Binary data

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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.

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