Fusion Platform for Renal Cyst Characterization


This work concerns the field of diagnostic aids that facilitate diagnostic decisions for practitioners, especially in medical imaging. The pathology in question, in this study, is the renal cyst. The diagnostic process starts from simultaneous acquisitions of double isotope (Teechnetium-99 m and Iodine-131) scintigraphic images. Then, the platform allows the fusion of these images and the calculation of a pathological parameter that permits the characterization of the state of the dysplasic kidney by comparing it with the normal one. The final result is fusion images annotated by the pathological parameter value.

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Besbes, H. and Belhajamor, W. (2015) Fusion Platform for Renal Cyst Characterization. Open Journal of Medical Imaging, 5, 10-19. doi: 10.4236/ojmi.2015.51002.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] Kraft, O., Sirucek, P., Mrhac, L. and Havel, M. (2011) I-131 False Positive Uptake in a Huge Parapelvic Renal Cyst. Nuclear Medicine Review, 14, 36-37.
[2] Zhao, X., Shao, Y., Wang, Y., Tian, J., Sun, B., Ru, Y., Zhang, A. and Hao, J. (2012) New Normal Values Not Related to Age and Sex, of Glomerular Filtration Rate by (99m)Tc-DTPA Renal Dynamic Imaging, for the Evaluation of Living Kidney Graft Donors. Hellenic Journal of Nuclear Medicine, 15, 210-214.
[3] Li, Q., Zhang, C.L., Fu, Z.L., Wang, R.F., Ma, Y.C. and Zuo, L. (2007) Development of Formulae for Accurate Measurement of the Glomerular Filtration Rate by Renal Dynamic Imaging. Nuclear Medicine Communications, 28, 407-413.
[4] Schrier, R.W. (2007) Diseases of the Kidney & Urinary Tract. 8th Edition, Lippincott Williams & Wilkins, Philadelphia.
[5] Greenberg, A., Cheung, A.K., Coffman, T.M., Falk, R.J. and Jennette, J.C. (2009) Primer on Kidney Diseases. 5th Edition, Elsivier Health Sciences, Amsterdan.
[6] Goldsmith, D., Jayawardene, S. and Ackland, P. (2007) ABC of Kidney Disease. Blackwell Publishing Ltd., Oxford.
[7] Ishikawa, I. (2007) Acquired Cystic Disease of the Kidney and Renal Cell Carcinoma. Springer, Tokyo Berlin Heidelberg, New York.
[8] Schrier, R.W. (1999) Atlas of Deseases of the Kidney. Current Medicine Inc., Philadelphia.
[9] Reznek, R.H. and Husband, J.E. (2008) Carcinoma of the Kidney. Cambridge University Press, Cambridge.
[10] Hino, O., Ed. (1999) Kidney Cancer, Recent Results of Basic and Clinical Research. Karger Publisher, Basel.
[11] Belldegrun, A., Ritchie, A.W.S., Figlin, R.A., Oliver, R.T.D. and Vaughan, E.D. (2003) Renal and Adrenal Tumors Biology and Management. Oxford University Press, Oxford.
[12] Taal, M.W., Chertow, G.M., Marsden, P.A., Skorecki, K., Yu, A.S.L. and Brenner, B.M. (2012) Brenner & Rector’s the Kidney. Elsevier, Amsterdam.
[13] Kavoussi, L.R., Novick, A.C., Partin, A.W. and Peters, C.A. (2012) Campbell-Walsh Urology. 10th Edition, Elsevier, Amsterdam.
[14] Fogelman, I., Maisey, M.N. and Clark, S.E.M. (1994) Atlas of Clinical Nuclear Medicine. Martin Dunitz Ltd., London.
[15] Cook, G.J.R., Maisey, M.N., Britton, K.E. and Chengazi, V. (2006) Clinical Nuclear Medicine. Fourth Edition, Hodder Arnold, London.
[16] Saha, G.B. (2010) Fundamentals of Nuclear Pharmacy. Sixth Edition, Springer, New York, Heidelberg, Dordrecht and London.
[17] Welch, M.J. and Redvanly, C.S. (2003) Handbook of Radiopharmaceuticals: Radiochemistry and Applications. John Wiley & Sons, Hoboken.
[18] Thelin, J. (2007) Foundations of Qt Development. Springer-Verlag, New York.
[19] Dennis, A., Wixom, B.H. and Tegarden, D. (2009) System Analysis Design UML Version 2.0: An Object-Oriented Approach. John Wiley & Sons, Hoboken.
[20] Larman, G. (2004) Applying UML and Patterns: An Introduction to Object-Oriented Analysis and Design and the Unified Process. Prentice-Hall, Englewood Cliff.
[21] Oestereich, B. (2001) Developing Software with UML: Object-Oriented Analysis and Design in Practice. 2nd Edition, Addison-Wesley, Boston.
[22] Ukimura, O. (2011) Image Fusion. InTech.
[23] Zheng, Y.F. (2011) Image Fusion and Its Applications. InTech.
[24] Mitchell, H.B. (2010) Image Fusion: Theories, Techniques and Applications. Springer, Berlin.
[25] Stathaki, T. (2008) Image Fusion: Algorithms and Applications. Academic Press, Elsevier, London Amsterdam Burlington San Diego.
[26] Hill, P.R., Bull, D.R. and Canagarajah, C.N. (2005) Image Fusion Using a New Framework for Complex Wavelet Transforms. Image Processing, II1338-41.
[27] Mei, A.L.X., Jin, B.L. and Hui, C.W.S. (2006) New Medical Image Fusion Algorithm Based on Second Generation Wavelet Transform. Proceedings of the International Conference on Computational Engineering in Systems Applications, Beijing, 4-6 October 2006, 1460-1464.
[28] Shen, Y., Ma, J. and Ma, L. (2006) An Adaptive Pixel-Weighted Image Fusion Algorithm Based on Local Priority for CT and MRI Images. Proceedings of the IEEE Instrumentation and Measurement Technology Conference Sorrento, Sorrento, 24-27 April 2006, 420-422.
[29] Patnaik, D. (2006) Biomedical Image Fusion Using Wavelet Transforms and SOFM Neural Network. Proceedings of the IEEE International Conference on Industrial Technology, Mumbai, 15-17 December 2006, 1189-1194.
[30] Zhang, H., Liu, L. and Lin, N. (2007) A Novel Wavelet Medical Image Fusion Method. Proceedings of the International Conference on Multimedia and Ubiquitous Engineering, Seoul, 26-28 April 2007, 548-553.
[31] Boudraa, A.O. and Zaidi, H. (2006) Image Segmentation Techniques in Nuclear Medicine Imaging. In: Zaidi, H., Ed., Quantitative Analysis in Nuclear Medicine Imaging, Springer, Berlin, 308-357.

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