Skip to main content
SpringerLink
Log in

Digital image processing for clinicians, part II: Filtering

  • Review
  • Published:
Journal of Nuclear Cardiology Aims and scope

Conclusion

Learning how to see an image in terms of its different frequency components leads to an intuitive understanding of the Fourier transform and the utility of manipulating different components of an image. This makes it much easier to understand the artifacts from image noise and blurring and how to use filters to correct for them.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Hansen CL. Digital image processing for clinicians, part I: basics of image formation. J Nucl Cardiol 2002;9:343–9.

    Article  PubMed  Google Scholar 

  2. Zubal IG, Wisniewski G. Understanding Fourier space and filter selection. J Nucl Cardiol 1997;4:234–43.

    Article  PubMed  CAS  Google Scholar 

  3. Hamming RW. Digital filters. Prentice-Hall: Englewood Cliffs (NJ), 1977.

    Google Scholar 

  4. Rorabaugh CB. Digital filter designer’s handbook. McGraw-Hill: Blue Ridge Summit (PA), 1993.

    Google Scholar 

  5. Parker AJ. Image reconstruction in radiology. CRC Press: Boston, 1990.

    Google Scholar 

  6. Brigham EO. The fast Fourier transform. Prentice-Hall: Englewood Cliffs (NJ), 1974.

    Google Scholar 

  7. Ramirez RW. The FFT, fundamentals and concepts. Prentice-Hall: Englewood Cliffs (NJ), 1985.

    Google Scholar 

  8. King MA, Doherty PW, Schwinger RB, Penney BC. A Wiener filter for nuclear medicine images. Med Phys 1983;10: 876–80.

    Article  PubMed  CAS  Google Scholar 

  9. King MA, Schwinger RB, Doherty PW, Penney BC. Two-dimensional filtering of SPECT images using the Metz and Wiener filters. J Nucl Med 1984;25:1234–40.

    PubMed  CAS  Google Scholar 

  10. Miller TR, Rollins ES. A practical method of image enhancement by interactive digital filtering. J Nucl Med 1985;26:1075–80.

    PubMed  CAS  Google Scholar 

  11. Links JM, Jeremy RW, Dyer SM, Frank TL, Becker LC. Wiener filtering improves quantification of regional myocardial perfusion with thallium-201 SPECT. J Nucl Med 1990;31: 1230–6.

    PubMed  CAS  Google Scholar 

  12. Hansen CL, Kramer M, Rastogi A. Lower accuracy of Tl-201 SPECT in women is not improved by size-based normal databases or Wiener filtering. J Nucl Cardiol 1999;6:177–82.

    Article  PubMed  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Section of Cardiology, Temple University School of Medicine, 3401 N Broad St, 19140, Philadelphia, PA

    Christopher L. Hansen

Authors
  1. Christopher L. Hansen
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

About this article

Cite this article

Hansen, C.L. Digital image processing for clinicians, part II: Filtering. J Nucl Cardiol 9, 429–437 (2002). https://doi.org/10.1067/mnc.2002.122898

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1067/mnc.2002.122898

Keywords

Search

Navigation