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uncertainty in gross tumor volume determination. - International Journal of Radiation Oncology* Biology* Physics, 80, 2011, 5, 1573-1580. 11. He, J., et al. Motion compensation based on dynamic data in PET acquisition. Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on 2010, IEEE. 12. Keller, S. H. et al. Methods for motion correction evaluation using 18F-FDG human brain scans on a high-resolution PET scanner. - Journal of Nuclear Medicine 53, 2012, 3, 495-504. 13. Lee, P. et al. Current concepts in F18 FDG PET/CT-based radiation therapy

References [1] Cao F., Bao Z., Yuan J., Motion compensation for aerial SAR, 5th International Conference on Signal Processing Proceedings, Beijing 2000, pp. 1864-1867. [2] Gong X., Fang J., Analyses and comparisons of some nonlinear Kalman Filters in POS for airborne SAR motion compensation, International Conference on Mechatronics and Automation ICMA, 2007, pp. 1495-1500. [3] Konatowski S., Pieniężny T., A comparison of estimation accuracy by the use of KF, EKF and UKF filters, Computational Methods and Experimental Measurements CMEM, WIT Press Southampton, 2007

University, vol. 35, no. 7, pp. 816-820, 2010. 4. Peng Wu: Research on synthetic aperture sonar beamforming, Wuhan University of Technology, Wuhan, China, 2009. 5. Dongshen Chen, Haiting Yin, Jiyuan Liu, Shuqiu Li, Chunhua Zhang: A study on SAS movement compensation based on an improved DPC algorithm, Signal processing, vol. 23, no. 6, pp. 907-909, 2008. 6. Wei Liu, Jiyuan Liu, Chunhua Zhang: Research on the combined SAS motion compensation method based on raw echo data and image data, Chinese journal of scientific instrument, vol. 4, no. 29, pp. 538-543, 2008. 7. Weiqing

. Analysis of traffic-induced vibrations by blind source separation with application in building monitoring. Mathematics and Computers in Simulation, 80(12), pp.2374-2385. Siano, D., 2012. Noise control, reduction and cancellation solution engineering. Rijeka: Intech. Wollny, G., Kellman, P., Santos, A. and Ledesma-Carbayo, M.J., 2012. Automatic motion compensation of free breathing acquired myocardial perfusion data by using independent component analysis. Medical Image Analysis, 16(5), pp. 1015-1028. Yu, K., Yang, K. and Bai, Y., 2014. Estimation of modal parameters

tomography using intensity measurements and the a priori acquired regions of interest: theory and simulations. Phys. Med. Biol. 2005;50:247–264. 10.1088/0031-9155/50/2/005 Kanmani B. Vasu R. M. Diffuse optical tomography using intensity measurements and the a priori acquired regions of interest: theory and simulations Phys. Med. Biol 2005 50 247 264 10.1088/0031-9155/50/2/005 47 Reyes M., Malandain G., Koulibaly P. M., González-Ballester M. A. and Darcourt J. Model-based respiratory motion compensation for emission tomography image reconstruction. Phys. Med. Biol. 2007