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Journal of the Korean Physical Society

, Volume 74, Issue 11, pp 1067–1072 | Cite as

Wide Image Stitching Based on Software Exposure Compensation in Digital Radiography

  • Chulkyu Park
  • Dongyeon Lee
  • Woosung Kim
  • Hyosung ChoEmail author
  • Younghwan Lim
  • Guna Kim
  • Seokyoon Kang
  • Kyuseok Kim
  • Soyoung Park
  • Hyunwoo Lim
  • Hunwoo Lee
  • Duhee Jeon
  • Jeongeun Park
  • Changwoo Seo
  • Minsik Lee
Article

Abstract

We investigated a wide image stitching method in digital radiography where an X-ray tube is stationary while a detector moves from one exposure position to the next during acquisition of multiple images of a small field of view. This method completely emulates the common radiographic geometry and is free of the parallax artifacts inherent in the source-translation method, showing improved image quality with reduced geometric distortions. One difficulty associated with this method is that the exposure levels of the individual images vary according to the inverse square law of the X-ray intensity, which may result in heterogeneous stitched images. In this paper, we propose a new software exposure compensation (SEC) scheme able to overcome this difficulty, and in this study, we performed an experiment to demonstrate the feasibility of using the proposed SEC in wide stitching. Four X-ray images of a test phantom were obtained in different exposure positions and were intensity-compensated by using the SEC algorithm prior to phase-correlation-based registration and alpha blending. Our results indicate that the proposed SEC scheme effectively compensates for the exposure discrepancies of the individual images, and thereby homogeneous and seamless stitched images can be obtained with high accuracy in the wide stitching.

Keywords

Wide stitching Software exposure compensation Source translation Inverse square law 

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Notes

Acknowledgments

This study was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Korea Ministry of Science and ICT (NRF-2017 R1A2B2002891).

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Copyright information

© The Korean Physical Society 2019

Authors and Affiliations

  • Chulkyu Park
    • 1
  • Dongyeon Lee
    • 1
  • Woosung Kim
    • 1
  • Hyosung Cho
    • 1
    Email author
  • Younghwan Lim
    • 1
  • Guna Kim
    • 1
  • Seokyoon Kang
    • 1
  • Kyuseok Kim
    • 1
  • Soyoung Park
    • 1
  • Hyunwoo Lim
    • 1
  • Hunwoo Lee
    • 1
  • Duhee Jeon
    • 1
  • Jeongeun Park
    • 1
  • Changwoo Seo
    • 1
  • Minsik Lee
    • 2
  1. 1.Department of Radiation Convergence EngineeringYonsei UniversityWonjuKorea
  2. 2.Department of Radiation OncologyAsan Medical CenterSeoulKorea

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