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2005, Number 3

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Anales de Radiología México 2005; 4 (3)

Low cost digital processing in ecographic images of solid focal and thyroidnodular hepatic pathology

Bosco BR, Eblen-Zjur A

Language: Spanish
References: 21
Page: 243-253
PDF size: 404.84 Kb.


ABSTRACT

Introduction: The interpretation of thyroid and liver echographic imaging presents a particular objection, due to the superposition of structures and obstruction or contamination from devices. Digital global network offers imaging processing programs free of charge, given the scientifically academic interest.
Purpose: To systematize the use of the software echographic imaging processing to increase the amount of information therein and non detectable by the direct and low cost inspection.
Methodology: Nodular thyroid and solid focal hepatic pathology echographic imaging were processed, applying the Image to 3.0 IT software, in a personal computer, using a series of algorithms. Linear filtration (reacting the image, detecting borders, non linear mean, dilation, directional filters), calculation of diameters and bi-dimensional areas, as well as determining densitometry profiles, to increase diagnostic information obtained from images.
Results: The images processed have a superior diagnosis quality, compared to the original one.
Conclusion: It allows processing images digitally, with an objective and fast analysis of injuries with the following advantages: storing, digital access, areas quantification, echosonography for density profile.


REFERENCES

  1. LaBerge JM, Andriole KP. Digital image processing: a primer for JVIR authors and readers: Part 1. The fundamentals. J Vasc Interv Radiol 2003; 14: 1223-30.

  2. Kim Y, Kim JH, Basoglu C, Winter TC. Programmable ultrasound imaging using multimedia technologies: A next-generation ultrasound machine. IEEE Trans Inf Technol Biomed 1997; 1: 19-29.

  3. Halazonetis DJ, Abelson MN. Digital image processing: How to retouch your clinical photographs. Am J Orthod Dentofacial Orthop 2000; 118: 469-75.

  4. LaBerge JM, Andriole KP. Digital image processing: A primer for JVIR authors and readers: Part 3. Digital image editing. J Vasc Interv Radiol 2003; 14: 1481-7.

  5. Santin G. Vademecum radiológico. México, D.F.: McGraw-Hill Interamericana; 2001, p. 53-6.

  6. Krebs C, Giyanani V, Eisenberg R. Ultrasound atlas of disease processes. New Jersey, USA: Appleton and Lange; 1993. p. 1-6, 29.

  7. Rumack C, Wilson S, Charboneau W. Diagnostic ultrasound. 2nd Ed. St. Louis, USA: Mosby Year Book; 1998, p. 6-17.

  8. Ermert H. Diagnostic ultrasound. Biomed Tech (Berl) 2003; 48: 114-5.

  9. Hansen CL. Digital image processing for clinicians. Part I. Basics of image formation. J Nucl Cardiol 2002; 9: 343-9.

  10. LaBerge JM, Andriole KP. Digital image processing: a primer for JVIR authors and readers. Part 2. Digital image acquisition. J Vasc Interv Radiol 2003; 14: 1365-72.

  11. Brent S. UTHSCSA Image Tool. Versión 3.0 (2002). Disponible en: ftp://maxra6.uthscsa.edu

  12. Casares S. Lesiones hepáticas. LOES hiperecoicas (2002). Disponible en: www.medspain.com/curso_eco/lecion_17_eco. Htm

  13. Velasco E. Ecografía tiroidea convencional y Doppler color. Ecografía tiroidea: Ecogenicidad. Disponible en: www.tiroides2000.org/tiroidea.htm

  14. Gehlbach SM, Alvarez RE. Digital ultrasound imaging techniques using vector sampling and raster line reconstruction. Ultrason Imaging 1981; 3: 83-107.

  15. Hansen CL. Digital image processing for clinicians. Part II. Filtering. J Nucl Cardiol 2002; 9: 429-37.

  16. Lim J. Two-dimensional signal and image processing. New Yersey, USA: Prentice-Hall International Editions; 1990, p. 495-7.

  17. Pavlidis T. Algorithms for graphics and image processing. New York, NY: Springer-verlag; 1982, p. 118-30.

  18. Balter S . Digital images. Catheter Cardiovasc Interv 1999; 46: 487-96.

  19. Sader R, Zeilhofer HF, Deppe H, Horch HH, Nuber B, Hornung B. New possibilities in computer-assisted image processing for ultrasound diagnosis in mouth-jaw-facial surgery. Bildgebung 1995; 62: 38-43.

  20. Lehmann TM, Meinzer HP, Tolxdorff T. Advances in biomedical image analysis-past, present and future challenges. Methods Inf Med 2004; 43: 308-14.

  21. van der Steen AF, Thijssen JM, van der Laak JA, Ebben GP, de Wilde PC. Correlation of histology and acoustic parameters of liver tissue on a microscopic scale. Ultrasound Med Biol 1994; 20: 177-86.




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