Abstract
This paper describes the development and testing of a diagnostic system using sonograms. In far flung areas of under developing countries where the availability of specialists is a problem and sometimes not even a possibility, it is highly beneficial to have on site diagnosis computer application to support medical staff. Diagnose of sonograms to identify infected part in offline scenarios is not always easy. Besides, lack of infrastructure does not permit online solutions to be a practical option. We implement a system named Intelligent-Eye (I-Eye) which employs imaging and diagnostic techniques to support in the gallbladder diagnosis, saving time and cost of operating medical procedures. We implemented an algorithm highly capable of being used on different diagnostic ultrasonography machines, generating accurate information reports and diagnosis.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Slawomir, B.: Automated Detecting Symptoms of Selected Gallbladder Illness based on Static Ultrasound Image Analysis. In: Bio-algorithms and Med-systems, pp. 35–44 (2006)
Mazumdar, B., Mediratta, A., Bhattacharyya, J., Banerjee, S.: A Real Time Speckle Noise Cleaning Filter for Ultrasound Images. In: 19th Int. Symp. on Comp. based Med. Systems, pp. 341–346 (2006)
Juang, P.-A., Wu, M.-N.: Ultrasound Speckle Image Process Using Wiener Pseudo-inverse Filtering. In: 23rd IEEE Conf. on Industrial Electronics Society, pp. 2446–2449 (2007)
http://medical.toshiba.com/news/press-releases/2011/02/16/883/
http://www.mathworks.com/help/toolbox/images/ref/wiener2.html
Gonzalez, R.C., Woods, R.E.: Digital Image Processing. Prentice Hall (2001)
Singh, E.J., Kaur, N.: Automated segmentation of gallstones in ultrasound images. In: IEEE Int. Conference on Systems, Man, and Cybernetics, vol. 4, p. 2855 (October 1996)
Semmlow, J.L.: Biosignal and Biomedical Image Processing MATLAB(2004)
York, G., Kim, Y.: Ultrasound Processing and Computing: Review and Future Directions. Annual Review of Biomedical Engg. 1, 559–588 (1999)
http://www.buzzle.com/articles/where-is-the-gallbladder-located-in-the-body.html
Meilstrup, J.W.: Imaging Atlas of the Normal Gallbladder and Its Variants, p. 4. CRC Press, Boca Raton (1994)
Myers, R.P., Shaffer, E.A., Beck, P.L.: Gallbladder polyps: epidemiology, natural history and management. Can J. Gastroenterol. 16(3), 187–194 (2002); PMID 11930198
Lim, J.S.: Two-Dimensional Signal and Image Processing, p. 548. Prentice Hall, Englewood Cliffs (1990); equations 9.44 – 9.46
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Tanveer, S. et al. (2011). Diagnosis in Sonogram of Gall Bladder. In: Batyrshin, I., Sidorov, G. (eds) Advances in Artificial Intelligence. MICAI 2011. Lecture Notes in Computer Science(), vol 7094. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25324-9_45
Download citation
DOI: https://doi.org/10.1007/978-3-642-25324-9_45
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25323-2
Online ISBN: 978-3-642-25324-9
eBook Packages: Computer ScienceComputer Science (R0)