Skip to main content

Advertisement

SpringerLink
Log in

Interactive Image Enhancement of CR and DR Images

  • Published:
Journal of Digital Imaging Aims and scope Submit manuscript

Abstract

There is continual pressure on the radiology department to increase its productivity. Two important links to productivity in the computed/digital radiography (CR/DR) workflow chain are the postprocessing step by technologists and the primary diagnosis step by radiologists, who may apply additional image enhancements to aid them in diagnosis. With the large matrix size of CR and DR images and the computational complexity of these algorithms, it has been challenging to provide interactive image enhancement, particularly on full-resolution images. We have used a new programmable processor as the main computing engine of enhancement algorithms for CR or DR images. We have mapped these algorithms to the processor, maximally utilizing its architecture. On a 12-bit 2688 × 2688 image, we have achieved the execution time of 465 ms for adaptive unsharp masking, window/level, image rotate, and lookup table operations using a single processor, which represents at least an order of magnitude improvement compared to the response time of current systems. This kind of performance facilitates rapid computation with preset parameter values and/or enables truly interactive QA processing on radiographs by technologists. The fast response time of these algorithms would be especially useful in a real-time radiology setting, where the radiologist’s waiting time in performing image enhancements before making diagnosis can be greatly reduced. We believe that the use of these processors for fast CR/DR image computing coupled with the seamless flow of images and patient data will enable the radiology department to achieve higher productivity.

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

Figure 1
Figure 2
Figure 3

Similar content being viewed by others

References

  1. HK Huang (1999) PACS: Basic Principles and Applications. Wiley New York

    Google Scholar 

  2. X Cao HK Huang (2000) ArticleTitleCurrent status and future advances of digital radiography and PACS. IEEE Eng Med Biol Mag 19 80–88 Occurrence Handle10.1109/51.870234 Occurrence Handle1:STN:280:DC%2BD3cvmsVWltQ%3D%3D Occurrence Handle11016033

    Article  CAS  PubMed  Google Scholar 

  3. MT Freedman DS Artz (1999) Digital radiology. EL Siegel RM Kolodner (Eds) Filmless Radiology. Springer-Verlag New York 157–193

    Google Scholar 

  4. BI Reiner EL Siegel (2002) ArticleTitleTechnologists’ productivity when using PACS: comparison of film-based versus filmless radiography. AJR Am J Roentgenol 179 33–37 Occurrence Handle12076899

    PubMed  Google Scholar 

  5. EL Siegel BI Reiner (2002) ArticleTitleWork flow redesign: the key to success when using PACS. Am J Roentgenol 178 563–566

    Google Scholar 

  6. B Williamson (1999) ArticleTitleReal-time radiology. J Digit Imaging 12 48–. Occurrence Handle10036668

    PubMed  Google Scholar 

  7. http://www.agfa.com/healthcare/content/pdf/dr_thorax_en.pdf

  8. http://www.kodak.com/global/en/health/productsByType/dr/dr5100.jhtml

  9. R Van Metter D Foos (1999) ArticleTitleEnhanced latitude for digital projection radiography. SPIE Proc 3658 468–483 Occurrence Handle10.1117/12.349459

    Article  Google Scholar 

  10. Ishida M: Fuji computed radiography technical review, no. 1. Fuji Photo Film Co., Ltd., Tokyo, 1993

  11. P Vuylsteke E Schoeters (1994) ArticleTitleMulti-scale image contrast amplification (MUSICA) SPIE Proc 2167 551–560

    Google Scholar 

  12. C Basoglu D Kim RJ Gove et al. (1998) ArticleTitleHigh-performance image computing with modern microprocessors. Int J Imaging Syst Technol 9 407–415 Occurrence Handle10.1002/(SICI)1098-1098(1998)9:6<407::AID-IMA2>3.0.CO;2-8

    Article  Google Scholar 

  13. C Basoglu W Lee J O’Donnell (2002) ArticleTitleThe Equator MAP-CA TM DSP: an end-to-end broadband signal processor TM VLIW. IEEE Trans Circuits Syst Video Technol 12 646–659 Occurrence Handle10.1109/TCSVT.2002.800864

    Article  Google Scholar 

  14. LL Barski X Wang (1999) ArticleTitleCharacterization, detection and suppression of stationary grids in digital projection radiography imagery. SPIE Proc 3658 502–519 Occurrence Handle10.1117/12.349462

    Article  Google Scholar 

  15. MS Grow Y Kim (2002) ArticleTitleEvaluation of the Pentium 4 for imaging applications. SPIE Proc 4674 42–50 Occurrence Handlefull_text||10.1117/12.451076

    Article  Google Scholar 

  16. R Lee (1995) ArticleTitleAccelerating multimedia with enhanced microprocessors. IEEE Micro 15 22–32 Occurrence Handle10.1109/40.372347

    Article  Google Scholar 

  17. B Porat (1997) A Course in Digital Signal Processing John Wiley & Sons Toronto

    Google Scholar 

  18. C Mermer D Kim Y Kim (2003) ArticleTitleEfficient 2D FFT implementation on mediaprocessors. Parallel Computing 29 691–709

    Google Scholar 

  19. WW Smith JM Smith (1995) Handbook of Real-Time Fast Fourier Transforms. IEEE Press New York

    Google Scholar 

  20. U Bae V Shamdasani R Managuli et al. (2003) ArticleTitleFast adaptive unsharp masking with programmable mediaprocessors. J Digit Imaging 16 230–239 Occurrence Handle10.1007/s10278-003-1650-2 Occurrence Handle14564661

    Article  PubMed  Google Scholar 

  21. M Prokop CM Schaefer JW Oestmann et al. (1993) ArticleTitleImproved parameters for unsharp mask filtering of digital chest radiographs. Radiology 187 521–526 Occurrence Handle1:STN:280:ByyB3svnslc%3D Occurrence Handle8475301

    CAS  PubMed  Google Scholar 

  22. SC Horii (2002) Workstations. KJ Dreyer A Mehta JH Thrall (Eds) PACS: A Guide to the Digital Revolution Springer-Verlag New York 191–235

    Google Scholar 

  23. http://www.gemedicalsystems.com/index.html

  24. A Agarwal A Rowberg Y Kim (2003) ArticleTitleFast JPEG 2000 decoder and its use in medical imaging. IEEE Trans Information Technol Biomed 7 184–190 Occurrence Handle10.1109/TITB.2003.813789

    Article  Google Scholar 

  25. B Van Ginneken BM Ter Haar Romeny MA Viergever (2001) ArticleTitleComputed-aided diagnosis in chest radiography: a survey. IEEE Trans Med Imaging 20 1228–1241 Occurrence Handle10.1109/42.974918 Occurrence Handle11811823

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. From the Image Computing Systems Laboratory, Departments of Electrical Engineering and Bioengineering, University of Washington, Seattle, WA 98195, USA

    Maikael A Thomas MSEE & Yongmin Kim PhD

  2. From the Department of Radiology, University of Washington, Seattle, WA 98195, USA

    Alan H Rowberg MD

  3. From the Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA

    Steve G Langer PhD

Authors
  1. Maikael A Thomas MSEE
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Alan H Rowberg MD
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Steve G Langer PhD
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yongmin Kim PhD
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yongmin Kim PhD.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Thomas, M.A., Rowberg, A.H., Langer, S.G. et al. Interactive Image Enhancement of CR and DR Images. J Digit Imaging 17, 189–195 (2004). https://doi.org/10.1007/s10278-004-1000-z

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10278-004-1000-z

Keywords

Search

Navigation