Skip to main content

Collimation Detection in Digital Radiographs Using Plane Detection Hough Transform

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2774))

Abstract

In medical X-ray examinations, X-ray collimators are frequently employed to shield the body parts from unnecessary X-ray exposure and to improve the image quality. The confined regions (collimations) are not regarded as diagnostically important. And it has been pointed out that the presence of collimations may impair diagnosis of subtle lesions due to dazzle. For efficient image compression, it is desirable that the collimations are accurately detected. The purpose of this study is to develop a computerized method to correctly identify collimations in digital radiographs. In this study, we propose a method of applying plane detection Hough transform where digital radiographs are regarded as three-dimensional data by adding one-dimension of the brightness direction, in order to detect the boundaries between collimations and irradiation fields as planes. Therefore, we describe a validity of the plane detection by modeling the collimation boundaries. In addition, the effectiveness in compressing the data of a processed images greater than the original ones.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Dewaele, P., Ibison, M., Vuylsteke, P.: A Trainable Rule-Based Network for Irradiation Field Recognition in AGFA’s ADC System. In: Proc. SPIE, vol. 2708, pp. 72–84 (1996)

    Google Scholar 

  2. Zhong, J., Huang, H.K.: Automatic Background Recognition and Removal (ABRR) in Computed Radiography Images. IEEE Trans. on Medical Imaging 16(6), 762–771 (1997)

    Article  MathSciNet  Google Scholar 

  3. Lehmann, T.M., Goudarzi, S.: Automatic localizetion and delineation of collimation fields in digital and film-based radiographs. In: Proc. SPIE, vol. 4684, pp. 1215–1223 (2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kawashita, I., Aoyama, M., Kajiyama, T., Asada, N. (2003). Collimation Detection in Digital Radiographs Using Plane Detection Hough Transform. In: Palade, V., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2003. Lecture Notes in Computer Science(), vol 2774. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45226-3_54

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-45226-3_54

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40804-8

  • Online ISBN: 978-3-540-45226-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics