Skip to main content

Analysis of Scintigraphic Renal Dynamic Studies: An Image Processing Tool for the Clinician and Researcher

  • Conference paper
Advanced Machine Learning Technologies and Applications (AMLTA 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 322))

Abstract

The objective of this work is to develop a platform-independent tool for analysis of Scintigraphic renal dynamic studies. It allowing quantification kidney, from a series of Scintigraphic images in the format provided DICOM. This tool allows an automatic or manual drawing of regions of interest and the kidney in renal background even if small kidney and / or little functional kidney, drawing the isotopic nephrogram corrected for background noise (activity curves kidney) and determining the renal function on according to the method of the integral. This developed tool allows obtaining semi-automatic so reproducible results on page relevant information to the physician to assess the functional status of each kidney: the isotopic nephrogram, viewing dynamic images and the relative function that users can calculate renal function through the regions of both kidneys. This tool is a step forward towards standardization as a suitable tool for education, research, and for receiving distant expert’s opinions.

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

Access this chapter

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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Pavel, D.G., Orellana, P., Olea, E.: Factor analysis of Tc-DTPA and I-hippuran radionuclide renal studies in nephro-urology. Eur. J. Nucl. Med. 15, 514 (1989)

    Google Scholar 

  2. Barber, D.C.: Automatic generation of regions of interest for radionuclide renograms. In: Proceedings of Medical Image Understanding and Analysis, Sheffield (2003)

    Google Scholar 

  3. Bergmann, H., Dworak, E., Konig, B., Mostlbeck, A., Samal, M.: Improved automatic separation of renal parenchyma and pelvis in dynamic renal scintigraphy using fuzzy regions of interest. Eur. J. Nucl. Med. 26, 837–843 (1999)

    Article  Google Scholar 

  4. Garcia, E.V., Folks, R., Pak, S., Taylor, A.: Totally Automatic Definition of Renal Regions-of-Interest from Tc-99m MAG3 Renograms: Validation in Patients with Normal Kidneys and in Patients with Suspected Renal Obstruction. Nucl. Med. Commun. 31(5), 366–374 (2010)

    Google Scholar 

  5. Inoue, Y., Yoshikawa, K., Yoshioka, N., Watanabe, T., Saigua, S., Kaneko, Y., Yokoyama, I., Ohtomo, K.: Evaluation of renal function with 99m-Tc-MAG3 using semiautomated regions of interest. J. Nucl. Med. 41, 1947–1954 (2000)

    Google Scholar 

  6. Halkar, R.K., Chrem, Y., Galt, J.R.: Interoperator variability in quantitating the MAG3 renal uptake based on semiautomated and manual regions of interest. J. Nucl. Med. 37, 293P (1996)

    Google Scholar 

  7. Zaknun, J.J., Rajabi, H., Piepsz, A., Roca, I., Dondi, M.: The International Atomic Energy Agency Software Package for the Analysis of Scintigraphic Renal Dynamic Studies: A Tool for the Clinician, Teacher, and Researcher. Seminars in Nuclear Medicine 41(1), 73–80 (2011)

    Article  Google Scholar 

  8. DICOM (Digital Imaging and Communications in Medicine), Supplement 23: Structured Reporting, NEMA, Rossyln VA (2000)

    Google Scholar 

  9. Revet, B.: DICOM Cook Book for Implementations in Modalities. PHILIPS Medical Systems (1997)

    Google Scholar 

  10. Sapirstein, L.A., Vidt, D.C., Mandel, M.J., et al.: Volumes of distribution and clearances of intravenously injected creatinine in the dog. Am. J. Physiol. 181, 330–336 (1955)

    Google Scholar 

  11. Jain, R., et al.: Machine Vision. McGraw-Hill, Inc. (1995)

    Google Scholar 

  12. Sonka, M., Hlavac, V., Boyle, R.: Image Processing, Analysis, and Machine Vision. Brooks/Cole Publishing Company (1998)

    Google Scholar 

  13. Zucker, S.W.: Region growing: Childhood and adolescence. Computer Graphics and Image Processing 5, 382–399 (1976)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Aribi, Y., Wali, A., Hamza, F., Alimi, A.M., Guermazi, F. (2012). Analysis of Scintigraphic Renal Dynamic Studies: An Image Processing Tool for the Clinician and Researcher. In: Hassanien, A.E., Salem, AB.M., Ramadan, R., Kim, Th. (eds) Advanced Machine Learning Technologies and Applications. AMLTA 2012. Communications in Computer and Information Science, vol 322. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35326-0_27

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-35326-0_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35325-3

  • Online ISBN: 978-3-642-35326-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics