The effectiveness of trivariate shrinkage computer radiography (CR) technique on image quality and anatomical information in radiotherapy geometric verification
DOI:
https://doi.org/10.31101/ijhst.v5i1.3037Keywords:
trivariate shrinkage, image quality, anatomical information, radiograpi computer (CR), EPIDAbstract
References
Chaurasia K, S. N. (2015). Performance Evaluation and Comparison of Different Noise, Apply on PNG Image Format Used in Deconvolution Wiener Filter (FFT) Algorithm. Evol Trends Eng Technol, 4, 8–14. https://doi.org/doi:10.18052/www.scipress.com/etet.4.8
Dragun, A. E. , Schilling, P. J. , S. T. W. , Kong, F.-M. , Wang, J. , Hricak, H. , & Salanitro PR. (2013). Encyclopedia of Radiation Oncology. Encycl Radiat Oncol. https://doi.org/doi:10.1007/978-3-540-85516-3
Dyer, B. A., Jenshus, A., & Mayadev, J. S. (2019). Integrated skin flash planning technique for intensity-modulated radiation therapy for vulvar cancer prevents marginal misses and improves superficial dose coverage. Medical Dosimetry, 44(1), 7–10. https://doi.org/10.1016/j.meddos.2018.01.003
George, S., & Joseph, S. (2017). Survey on Various Image Deblurring Technique. 6(4), 2015–2017.
Hakim, A., K.T.V, T., Harsh, R., & Verma, D. (2015). Effective Processing and Analysis of Radiotherapy Images. Signal & Image Processing : An International Journal, 6(2), 29–44. https://doi.org/10.5121/sipij.2015.6203
Isa, I. S., Sulaiman, S. N., Mustapha, M., & Darus, S. (2015). Evaluating Denoising Performances of Fundamental Filters for T2-Weighted MRI Images. Procedia Computer Science, 60(1), 760–768. https://doi.org/10.1016/J.PROCS.2015.08.231
Janaki Sivakumar, Dr.K. Thangavel, P. S. (2012). Computed Radiography Skull Image Enchancement Using Wiener Filter. Proceedings of the International Conference on Pattern Recognition, Informatics and Medical Engineering.
Page, B. R., Hudson, A. D., Brown, D. W., Shulman, A. C., Abdel-Wahab, M., Fisher, B. J., & Patel, S. (2014). Cobalt, linac, or other: What is the best solution for radiation therapy in developing countries? International Journal of Radiation Oncology Biology Physics, 89(3), 476–480. https://doi.org/10.1016/j.ijrobp.2013.12.022
Roberts N, & Stanley S. (2016). An observer study: Comparison of computed radiography to electronic and film portal imaging. J Radiother Pract, 5(4), 197–202. https://doi.org/doi:10.1017/S1460396906000288
Roberts, N., & Stanley, S. (2016). An observer study: Comparison of computed radiography to electronic and film portal imaging. Journal of Radiotherapy in Practice, 5(4), 197–202. https://doi.org/10.1017/S1460396906000288
Ryangga, D. (2011). Optimasi Pencitraan Lokalisasi Dengan Computed Radiografi (CR) Pada Pasien Radioterapi Dengan Berkas Sinar-X 6 MV. Tesis, 16.
Shukla, K. N. (2017). A Review on Image Enhancement Techniques. International Journal of Engineering and Applied Computer Science, 02(07), 232–235. https://doi.org/10.24032/ijeacs/0207/05
Sinaga, R. D. (2017). PERBANDINGAN METODE WIENER FILTER DAN TRIVARIATE SHRINKAGE UNTUK MEMPERBAIKI KUALITAS CITRA DIGITAL. KOMIK (Konferensi Nasional Teknologi Informasi Dan Komputer), 1(1). https://doi.org/10.30865/KOMIK.V1I1.511
Sinecen, M. (2016). Digital Image Processing with MATLAB. Applications from Engineering with MATLAB Concepts, 1–42. https://doi.org/10.5772/63028
Sumit, A., & Raokhande, P. (2012). Image Denoising Using Trivariate Shrinkage Filter In Wavelet Domain. Int J Emerg Technol Adv Eng, 1(3), 18–23.
Vyas, A., Yu, S., & Paik, J. (2018). Image Restoration. In Wiley Interdisciplinary Reviews: Computational Statistics (Vol. 1, Issue 1, pp. 133–198). https://doi.org/10.1007/978-981-10-7272-7_5
Whittington, R. (2002). Verification of prostate treatment setup using computed radiography for portal imaging. Journal of Applied Clinical Medical Physics, 3(2), 88. https://doi.org/10.1120/1.1457205
Yin, M., Liu, W., Zhao, X., Guo, Q. W., & Bai, R. F. (2013). Image denoising using trivariate prior model in nonsubsampled dual-tree complex contourlet transform domain and non-local means filter in spatial domain. Optik, 124(24), 6896–6904. https://doi.org/10.1016/j.ijleo.2013.05.132
Yu, H., Zhao, L., & Wang, H. (2009). Image denoising using trivariate shrinkage filter in the wavelet domain and joint bilateral filter in the spatial domain. IEEE Transactions on Image Processing : A Publication of the IEEE Signal Processing Society, 18(10), 2364–2369. https://doi.org/10.1109/TIP.2009.2026685
Zukauskaite, R., Hansen, C. R., Grau, C., Samsøe, E., Johansen, J., Petersen, J. B. B., Andersen, E., Brink, C., Overgaard, J., & Eriksen, J. G. (2018). Local recurrences after curative IMRT for HNSCC: Effect of different GTV to high-dose CTV margins. Radiotherapy and Oncology, 126(1), 48–55. https://doi.org/10.1016/j.radonc.2017.11.024
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