Kidney stones are a disease due to the buildup of substances that are not needed in the urinary system. Knowledge of the composition and type of stone is required in the treatment of action. Micro CT is one of the modalities that can be used in determining the composition of kidney stones. However, there are limitations when using single-energy micro-CT. Stone attenuation has almost the same value when using single energy, therefore it is necessary to use dual-energy CT to determine the difference in stone attenuation more precisely. The image of the dual-energy CT micro-energy stone needs to be processed before analyzing and determining the rock composition. Image fusion is one of the image processing techniques that can be used. The purpose of this study was to determine the effect of image fusion on the image quality of five kidney stones. The stages in the research carried out are collecting high energy and low energy projection image data, and performing image fusion on the two projected image data. The results obtained are first, the dual-energy CT image fusion affects the image quality which can be seen from the increase in the signal to noise ratio (SNR) value. A high SNR value provides the best image quality information
Aldaqadossi HA. (2013). Stone expulsion rate of small distal ureteric calculi could be predicted with plasma C-reactive protein. Urolithiasis (41), 235-239. https://doi.org/10.1007/s00240-013-0551-1
Asplin JR. (2002). Hyperoxaluric calcium nephrolithiasis. Endocrinol Metab Clin North Am (31), 927–949. https://doi.org/10.1016/s0889-8529(02)00030-0
Bikash Meher, Sanjay Agrawal, Rutuparna Panda, Ajith Abraham. (2018). A survey on region based image fusion methods. Journal of Information Fusion, https://doi.org/10.1016/j.inffus.2018.07.010
Boll, D.T., Tobias Heye, Rendon C. Nelson, Lisa M. Ho, dan Daniele Marin. (2012). Dual energy CT applications in the abdomen. American Journal of Roentgenology, 199, S64-S70. https://doi.org/10.2214/AJR.12.9196
Chae EJ, Song JW, Krauss B, et al. (2010). Dual-energy computed tomography characterization of solitary pulmonary nodules. J Thorac Imaging 25(4). https://doi.org/10.1097/RTI.0b013e3181e16232.
Fatma El-Zahraa Ahmed El-Gamal, Mohammed Elmogy, Current trends in medical image registration and fusion. (2016). Egyptian Informatics Journal 17, 99–124. https://doi.org/10.1016/j.eij.2015.09.002
Heye, Tobias., Rendon C. Nelson., Lisa M. Ho., Daniele Marin, Daniel T. Boll. (2012). Dual energy CT applications in the abdomen. American Journal of Roentgenology, 199, 64-70. https://doi.org/10.2214/AJR.12.9196
Johnson, T.R.C., M. Sedlmair., D. Morhard., C. Fink., S. Weckbach., M.F. Reiser., C.R. Becker. (2007): Material differentiation by dual energy CT: initial experience. Eur Radiol, 17, 1510-1517. https://doi.org/10.1007/s00330-006-0517-6
Judith E. Adams. (2008): Dual energy X-Ray absorptiometry. University of Manchester, Oxford Road, Manchester. https://doi.org/10.1371/journal.pone.0091904
Leni Aziyus Fitri. (2015). Pengelompokan batu urinary berdasarkan nilai HU berbasis dual energy micro CT skyScan 1173 (Master Thesis). Institut Teknologi Bandung.
Li, X.H, R. Zhaou, B.Liu, Y.-Q. Yu. (2013): Determination of urinary stone composition using dual energy spectral CT: Initial in vitro analysis. Journal of Clinical Radiology, 68, 370-377. https://doi.org/10.1016/j.crad.2012.11.022
Paul.J, Ralf W. Bauer a, Werner Maentele b, Thomas J. Vogl. (2011). Image fusion in dual energy computed tomography for detection of various anatomic structures–Effect on contrast enhancement, contrast-to-noise ratio, signal-to-noise ratio and image quality. European Journal of Radiology (80), 612–619. https://doi.org/10.1016/j.ejrad.2011.02.023
Primak, N Andrew, Terri J. Vrtiska, Mingliang Qu, & Cynthia H. McCollough. (2011). Kidney stone. Springer-Verlag Berlin, Jerman. https://doi.org/10.1007/978-3-642-01740-7
Pydi Kavita, Daisy Rani Alli, Annepu Bhujanga Ra. (2022). Study of image fusion optimization techniques for medical applications. International Journal of Cognitive Computing in Engineering 3, 136–143. https://doi.org/10.1016/j.ijcce.2022.05.002
Ramos, R.M. Lorente, J.A. Arman, N. Galeano, A. Munoz H, J.M Garcia Gonzales, dan J.G Molinero. (2011). Dual energy X-ray absorptimetry: Fundamentals, methodology, and clinical applications. Journal of Radiologia, 54, 410-423. https://doi.org/10.1016/j.rx.2011.09.023
Sfoungaristos, Kavouras A, Katafigiotis I, Perimenis P. (2012). Role of white blood cell and neutrophil counts in predicting spontaneous stone passage in patients with renal colic. BJU Int;110:339-345. https://doi.org/10.1111/j.1464-410X.2012.11014.x
Tabari A, Lo Gullo R, Murugan V, et al. (2017). Recent advances in computed tomographic technology: cardiopulmonary imaging applications. J Thorac Imaging ;32(2).
Thomas, C., O. Patschan, D. Ketelsen, I. Tsiflikas, A. Reimann, H. Brodoefel, M. Buchgeister, U. Nagele, A. Stenzl, C. Claussen, A. Kopp, M. Heuschmid, H.P. Schlemmer. (2009). Dual energy CT for the characterization of 49 urinary calculy: In vitro and in vivo evaluation of a low-dose scanning protocol. Eur Radiol, 19, 1553-1559. https://doi.org/10.1007/s00330-009-1300-2
Zaidi, et al. (2006). Attenuation correction strategies in emission tomography: Quantitative Analysis in Nuclear Medicine Imaging. Springer US, Boston, MA.
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