An Image Processing Approach Based on Gnu Image Manipulation Program Gimp to the Panoramic Radiography

An Image Processing Approach Based on Gnu Image Manipulation Program Gimp to the Panoramic Radiography

Author(s)

Amelia Carolina Sparavigna

Download Full PDF DOI: 10.18483/ijSci.721 Downloads: 417 Views: 742 Pages: 57-67

Volume 4 - May 2015 (05)

Abstract

We have recently proposed, in a paper published by the International Journal of Sciences, the use of some freely available image processing tools to enhance images of the fundus of the eye. In particular, we have discussed the use of GIMP, the GNU Image Manipulation Program, and of some wavelet filters and fractional gradient methods from other image processing programs. Here we propose GIMP to enhance the images given by panoramic radiography. This approach can produce an output image, which helps detecting faint details in such radiographic plates, which are quite important for dental treatments. Some case studies are discussed.

Keywords

Image Processing, Medical Imaging, Panoramic Radiography, GIMP

References

  1. Nait-Ali A, Fournier R (Eds.) (2012). Signal and image processing for biometrics (Google eBook), John Wiley & Sons. ISBN: 978-1-84821-385-2
  2. Sparavigna AC (2014). GIMP and wavelets for medical image processing: Enhancing images of the fundus of the eye. International Journal of Sciences 3(8), 35-47.
  3. Christian Buil, Software Iris, 1999-2010. Freely available at www.astrosurf.com/buil/ us/iris/iris.htm
  4. Marazzato R, Sparavigna AC (2009). Astronomical image processing based on fractional calculus: the AstroFracTool. arXiv preprint, arXiv:0910.4637.
  5. Angelopoulos C, Thomas SL, Hechler S, Parissis N, Hlavacek M (2008). Comparison between digital panoramic radiography and cone-beam computed tomography for the identification of the mandibular canal as part of pre-surgical dental implant assessment. J. Oral Maxillofacial Surg. 66(10), 2130-2135. DOI: 10.1016/j.joms.2008.06.021.
  6. Molander B (1996). Panoramic radiography in dental diagnostics. Swed. Dent. J. Suppl. 119, 1-26. PMID: 8971997
  7. Tal H, Moses O (1991). A comparison of panoramic radiography with computed tomography in the planning of implant surgery. Dentomaxillofacial Radiology 20(1), 40-42. PMID: 1884852 http://dx.doi.org/10.1259/dmfr.20.1.1884852
  8. Kütük N, Gönen ZB, Yasar MT, Demirbas AE, Alkan A (2014). Reliability of panoramic radiography in determination of neurosensory disturbances related to dental implant placement in posterior mandible. Implant dentistry, 23(6), 648-652. DOI: 10.1097/ID.0000000000000160.
  9. Hallikainen D (1996). History of panoramic radiography. Acta Radiol. 3, 441-555. PMID: 8652310 http://dx.doi.org/10.3109/02841859609177678
  10. Pirte A, Zatykό A, Lajosi P, Venter A, Muresan M (2010). Coronal-radicular and periodontal complications in cases of teeth with endodontic treatments in medical records. Romanian Journal of Oral Rehabilitation, 2(2), 8-13.
  11. Hupp JR, Ellis E, Tucker MR (2008). Contemporary oral and maxillofacial surgery (5th ed. ed.). St. Louis, Mo.: Mosby Elsevier. pp. 450–456. ISBN 9780323049030.
  12. Vv. Aa. (2015). Cysts of the jaws, Wikipedia.
  13. Wray D, Stenhouse D, Lee D, Clark AJE (2003). Textbook of general and oral surgery. Edinburgh [etc.]: Churchill Livingstone. pp. 173–178. ISBN 0443070830.
  14. Vv. Aa. (2015). Stafne defects, Wikipedia.
  15. Kaffe I, Ardekian L, Gelerenter I, Taicher S (1994). Location of the mandibular foramen in panoramic radiographs. Oral Surg. Oral Med Oral Pathol. 78(5): 662-9. PMID: 7838477 http://dx.doi.org/10.1016/0030-4220(94)90182-1
  16. Iyengar AR, Patil S, Nagesh KS, Mehkri S, Manchanda A. (2013). Detection of anterior loop and other patterns of entry of mental nerve into the mental foramen: A radiographic study in panoramic images. J. Dent. Implant. 3, 21-25. DOI: 10.4103/0974-6781.111678
  17. Kim TG, Lee YS, Kim YP, Park YP, Cheon MW (2014). Study on image processing of panoramic X-ray using deviation improvement software. Journal of X-Ray Science and Technology 22(3), 361-368. DOI: 10.3233/XST-140431.
  18. Muhammed HH (2014). Optimization of radiation doses in panoramic X-ray examination using automated image processing. Imaging Systems and Techniques (IST), 2014 IEEE International Conference on, Santorini. DOI: 10.1109/IST.2014.6958505
  19. Abdallah YMY, Almoustafa AA, Elhadi G., Mohammed M, Khalafallah O, Khalid T. (2011). Application of analysis approach in noise estimation in panoramic X-rays images using image processing program (MatLab). Canadian Journal on Medicine 2(3), 38-48.

Cite this Article:

International Journal of Sciences is Open Access Journal.
This article is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) License.
Author(s) retain the copyrights of this article, though, publication rights are with Alkhaer Publications.

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