Browse > Article
http://dx.doi.org/10.7742/jksr.2019.13.5.773

Application of Total Variation Algorithm in X-ray Phantom Image with Various Added Filter Thickness : GATE Simulation Study  

Park, Taeil (Department of Radiologist Science, College of Health Science, Gachon University)
Jang, Sujong (Department of Radiologist Science, College of Health Science, Gachon University)
Lee, Youngjin (Department of Radiologist Science, College of Health Science, Gachon University)
Publication Information
Journal of the Korean Society of Radiology / v.13, no.5, 2019 , pp. 773-778 More about this Journal
Abstract
Images using X-rays are essential to diagnosis, but noise is inevitable in the image. To compensate for this, a total variation (TV) algorithm was presented to reduce the patient's exposure dose while increasing the quality of the images. The purpose of this study is to verify the effect on the image quality in radiographic imaging according to the thickness of the additional filtration plate through simulation, and to evaluate the usefulness of the TV algorithm. By using the Geant4 Application for Tomographic Emissions (GATE) simulation image, the actual size, shape and material of the Polymethylmethacrylate (PMMA) phantom were identical, the contrast to noise ratio (CNR) and coefficient of variation (COV) were compared. The results showed that the CNR value was the highest and the COV the lowest when applying the TV algorithm. In addition, we can acquire superior CNR and COV results with 0 mm Al in all algorithm cases.
Keywords
TV Algorithm; Added filter; GATE simulation; PMMA phantom;
Citations & Related Records
연도 인용수 순위
  • Reference
1 S. Nam, "Trend of medical device (center of medical device)," Journal of the Institute of Electronics and Information Engineers. Vol. 26, No. 1, pp. 15-23, 2013.
2 P. C. Shrimpton, D. G. Jones, B. F. Wall, "The influence of tube filtration and potential on patient dose during X-ray examinations," Physics in Medicine and Biology, Vol. 33, No. 10, pp. 1205-1212, 1988.   DOI
3 O. Daniel, G. Ogbange, S. A. Jonah, "X-rays and Scattering from Filters Used in Diagnostic Radiology," International Journal of Scientific and Research Publications, Vol. 3, No. 7, pp. 1-11, 2013.
4 C. H. Baek, D. H. Kim, Y. G. Lee, Y. Lee, "Validation Study for Image Performance of I-131 Using GATE Simulation Program," Journal of the Institute of Electronics and Information Engineers. Vol. 55, No. 5, pp. 133-137, 2017
5 S. Stute, T. Carlier, K. Cristina, C. Noblet, A. Martineau, B. Hutton, L. Barnden, I. Buvat, "Monte Carlo simulations of clinical PET and SPECT scans: impact of the input data on the simulated images," Physics in Medicine and Biology, Vol. 56, No. 19, pp. 6441-6457, 2011.   DOI
6 A. Goncalves, J. M. D. A. Rollo, M. Goncalves, F. H. Neto, F. N. Boscolo, "Effects of aluminum-copper alloy filtration on photon spectra, air kerma rate and image contrast," Brazilian Dental Journal, Vol. 15, No. 3, pp. 214-219, 2004.   DOI
7 Y. Lee, S. Kang, Y. Lee, W. Yu, "Evaluation of Image Performance with Various Regularization Parameters using Total Variation (TV) Noise Reduction Algorithm," Journal of the Institute of Electronics and Information Engineers. Vol. 55, No. 3, pp. 144-148, 2018.   DOI
8 W. J. Yu, S. H. Kang, Y. G. Lee, Y. Lee, "Study on Analysis of Noise Characteristics and Improvement Effectiveness using combination of two filters with Various Exposure Parameters based on Digital X-ray Imaging System," Journal of the Institute of Electronics and Information Engineers. Vol. 55, No. 1, pp. 127-131, 2018.   DOI