INFORMAZIONI SU QUESTO ARTICOLO

Cita

[1] P. Schardt, J. Deuringer, J. Fruedenberger, E. Hell, W. Knuüpfer, D. Mattern, M. Schild, New x-ray tube performance in computed tomography by introducing the rotating envelope tube technology, Medical Physics, vol. 31, 2004, pp. 2699–2706.10.1118/1.178355215487753 Search in Google Scholar

[2] T. Flohr, T. G., Stierstofer, K. Ulzhaimer, S. Ulzheimer, H. Bruder, A. N. Promak, C. H. Mc-Collough, Image reconstruction and image quality evaluation for a 64-slice CT scanner with zflying focal spot, Medical Physics, vol. 32, 2005, pp. 2536–2547.10.1118/1.194978716193784 Search in Google Scholar

[3] M. Kachelrieß, M. Knaup, C. Penssel, W. A. Kalender, Flying focal spot (FFS) in cone-beam CT, IEEE Transactions on Nuclear Science, vol. 53, 2006, pp. 1238–1247.10.1109/TNS.2006.874076 Search in Google Scholar

[4] Th. Flohr, K. Stierstofer, H. Bruder, J. Simon, A. Polacin, S. Schaller, Image reconstruction and image quality evaluation for a 16-slice CT scanner, Medical Physics, vol. 30, 2003, pp. 832–845.10.1118/1.156216812772991 Search in Google Scholar

[5] M. Kachelrieß, S. Schaller, W. A. Kalender, Advanced single-slice rebinning in cone-beam spiral CT, Medical Physics, vol. 27, 2000, pp.754–773.10.1118/1.59893810798698 Search in Google Scholar

[6] M. Kachelrieß;, Th. Fuchs, S. Schaller, W. A. Kalender, Advanced single-slice rebinning for tilted spiral cone-beam CT, Medical Physics, vol. 28, 2001, pp.1033–1041.10.1118/1.137367511439473 Search in Google Scholar

[7] R. Cierniak, P. Pluta, A. Kaźmierczak, A practical statistical approach to the reconstruction problem using a single slice rebinning method, Journal of Artificial Intelligence and Soft Computing Research, vol. 10, 2021, pp. 137–149.10.2478/jaiscr-2020-0010 Search in Google Scholar

[8] J. D. Mathews et al., Cancer risk in 680 peope expose to computed tomography scans in childhood or adolescent: data inkage study of 11 million Australians, British Medical Journal, f2360, 2013, pp. 346-360.10.1136/bmj.f2360366061923694687 Search in Google Scholar

[9] K. Sauer, C. Bouman, A local update strategy for iterative reconstruction from projections, IEEE Transactions on Signal Processing, vol. 41, 1993, pp. 534–548.10.1109/78.193196 Search in Google Scholar

[10] C. Bouman, K. Sauer, A unified approach to statistical tomography using coordinate descent optimization. IEEE Transations on Image Processing, vol. 5, 1996, pp. 480–492.10.1109/83.49132118285133 Search in Google Scholar

[11] J. -B. Thibault, C. A. Bouman, K. D. Sauer, J. Hsieh, A recursive filter noise reduction in statistical iterative tomographic imaging, Proc. of SPIE-IS&T Symposium on Electronic Imaging Science and Technology–Computational Imaging, vol. 6065, 2006, pp. 15–19. Search in Google Scholar

[12] J. -B Thibault, K. D. Sauer, C. A. Bouman, J. Hsieh, A three-dimensional statistical approach to improved image quality for multislice helical CT, Med. Phys., vol. 34, 2007, pp. 4526–4544.10.1118/1.278949918072519 Search in Google Scholar

[13] Y. Zhou, J.-B. Thibault, C.A. Bouman, J. Hsieh, J., K.D. Sauer, Fast model-based x-ray CT reconstruction using spatially non-homogeneous ICD optimization, IEEE Tranactions on Image Processing, vol. 20, 2011, pp. 161–175.10.1109/TIP.2010.205881120643609 Search in Google Scholar

[14] R. Cierniak, A new approach to image reconstruction from projections problem using a recurrent neural network, International Journal of Applied Mathematics and Computer Science, vol. 183, 2008, pp. 147–157.10.2478/v10006-008-0014-y Search in Google Scholar

[15] R. Cierniak, New neural network algorithm for image reconstruction from fan-beam projections, Neurocomputing, vol. 72, 2009, pp. 3238–3244.10.1016/j.neucom.2009.02.005 Search in Google Scholar

[16] R. Cierniak, A three-dimensional neural network based approach to the image reconstruction from projections problem, Lecture Notes in Artificial Intelligence, vol. 6113, 2010, pp.505–514. Search in Google Scholar

[17] R. Cierniak, Analytical statistical reconstruction algorithm with the direct use of projections performed in spiral cone-beam scanners, In Proc. of the 5th International Meeting on Image Formation in X-Ray Computed Tomography, Salt Lake City, 2018, pp. 293–296. Search in Google Scholar

[18] R. Cierniak, A. Lorent, Comparison of algebraic and analytical approaches to the formulation of the statistical model-based reconstruction problem for x-ray computed tomography, Computerized Medical Imaging and Graphics, vol. 52, 2016, pp. 19-27.10.1016/j.compmedimag.2016.04.00127289536 Search in Google Scholar

[19] R. Cierniak, P. Pluta, Fast statistical reconstruction algorithm for a CT scanner with flying focal spot, in Proc. of the 6th International Meeting on Image Formation in X-Ray Computed Tomography, Regensburg, 2020, pp.586-589. Search in Google Scholar

[20] R. Cierniak, P. Pluta, Statistical iterative reconstruction algorithm based on a continuous-to-continuous model formulated for spiral cone-beam CT, In Proc. of the International Conference on Computational Science (ICCS 2020), Amsterdam, 2020, LNCS 12139, pp. 613-620.10.1007/978-3-030-50420-5_46 Search in Google Scholar

[21] J. El Zini, Y. Rizk, M. Awad, An optimized parallel implementation of non-iteratively trained recurrent neural networks, Journal of Artificial Intelligence and Soft Computing Research, vol. 11, 2020, pp. 33–50.10.2478/jaiscr-2021-0003 Search in Google Scholar

[22] X. Wang, R.D. MacDougall, C.A. Bouman, S.K. Warfield, Model-based iterative reconstruction for dual source and flying focal spot computed tomography, arXiv:2001.09471v2, 14.II.2020. Search in Google Scholar

eISSN:
2449-6499
Lingua:
Inglese
Frequenza di pubblicazione:
4 volte all'anno
Argomenti della rivista:
Informatica, Base dati e data mining, Intelligenza artificiale