Algorithm of reconstruction of three-dimensional images in X-ray computed tomography with a cone beam
Vestnik Ûžno-Uralʹskogo gosudarstvennogo universiteta. Seriâ, Matematičeskoe modelirovanie i programmirovanie, Tome 14 (2021) no. 1, pp. 104-117 Cet article a éte moissonné depuis la source Math-Net.Ru

Voir la notice de l'article

An algorithm for reconstructing three-dimensional images for X-ray computed tomography with a cone beam of radiation is developed. The algorithm is based on an accurate analytical representation of the three-dimensional Radon transformation of the projection data. For this representation, an iteration-invariant point scattering function (FRT) is introduced. The proposed algorithm overcomes the main drawback of approximate algorithms-it provides a sufficiently high quality of the obtained images even at large angles of the radiation cone, which is manifested in a relatively small number of image artefacts. The quality of the reconstructed tomographic images was evaluated.
Keywords: X-ray computed tomography, two-dimensional and three-dimensional Radon transformation, three-dimensional image reconstruction algorithms in a cone beam of radiation.
@article{VYURU_2021_14_1_a7,
     author = {E. Simonov and A. V. Prokhorov},
     title = {Algorithm of reconstruction of three-dimensional images in {X-ray} computed tomography with a cone beam},
     journal = {Vestnik \^U\v{z}no-Uralʹskogo gosudarstvennogo universiteta. Seri\^a, Matemati\v{c}eskoe modelirovanie i programmirovanie},
     pages = {104--117},
     year = {2021},
     volume = {14},
     number = {1},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/VYURU_2021_14_1_a7/}
}
TY  - JOUR
AU  - E. Simonov
AU  - A. V. Prokhorov
TI  - Algorithm of reconstruction of three-dimensional images in X-ray computed tomography with a cone beam
JO  - Vestnik Ûžno-Uralʹskogo gosudarstvennogo universiteta. Seriâ, Matematičeskoe modelirovanie i programmirovanie
PY  - 2021
SP  - 104
EP  - 117
VL  - 14
IS  - 1
UR  - http://geodesic.mathdoc.fr/item/VYURU_2021_14_1_a7/
LA  - ru
ID  - VYURU_2021_14_1_a7
ER  - 
%0 Journal Article
%A E. Simonov
%A A. V. Prokhorov
%T Algorithm of reconstruction of three-dimensional images in X-ray computed tomography with a cone beam
%J Vestnik Ûžno-Uralʹskogo gosudarstvennogo universiteta. Seriâ, Matematičeskoe modelirovanie i programmirovanie
%D 2021
%P 104-117
%V 14
%N 1
%U http://geodesic.mathdoc.fr/item/VYURU_2021_14_1_a7/
%G ru
%F VYURU_2021_14_1_a7
E. Simonov; A. V. Prokhorov. Algorithm of reconstruction of three-dimensional images in X-ray computed tomography with a cone beam. Vestnik Ûžno-Uralʹskogo gosudarstvennogo universiteta. Seriâ, Matematičeskoe modelirovanie i programmirovanie, Tome 14 (2021) no. 1, pp. 104-117. http://geodesic.mathdoc.fr/item/VYURU_2021_14_1_a7/

[1] Simonov E. N., Physics of Image Visualization in X-Ray Computed Tomography, Publishing Center of SUSU, Chelyabinsk, 2014 (in Russian)

[2] Simonov E. N., Avramov M. V., “On the Development of Methods for Image Reconstruction in X-Ray Computed Tomography with a Cone Beam of Radiation”, Bulletin of the South Ural State University. Series: Computer Technology, Automatic Control, Radio Electronics, 15:4 (2015), 58–66 (in Russian) | DOI

[3] Simonov E. N., Avramov M. V., Avramov D. V., “Analysis of Three-Dimensional Reconstruction Algorithms in X-Ray Computed Tomography”, Bulletin of the South Ural State University. Series: Computer Technology, Automatic Control, Radio Electronics, 17:2 (2017), 24–32 (in Russian) | DOI

[4] Kalender V., Computed Tomography Fundamentals, Technique, Image Quality and Clinical Applications, Tekhnosfera, M., 2006 (in Russian)

[5] L.A. Feldkamp, L.C. Davis, J.W. Kress, “Practicalcone-Beam Algorithm”, Journal of the Optical Society of America A, 1984, no. 2, 612–614

[6] M. Kachelrie, M. Knaup, W.A. Kalender, “Extended Parallel Backprojection for Standard Three-Dimensional and Phase-Correlated Four-Dimensional Axial and Spiral Cone-Beam CT with Arbitrary Pitch, Arbitrary Cone-Angle, and 100% Dose Usage”, Medical Physics, 31:1 (2004), 1623–1641

[7] M. Kachelrie, S. Schaller, W.A. Kalender, “Advanced Single-Slice Rebinning in Cone-Beam Spiral CT”, Medical Physics, 27:4 (2001), 1033–1041

[8] A. Katsevich, “A General Scheme for Constructing Inversion Algorithms for Cone Beam CT”, International Journal of Mathematics and Mathematical Sciences, 21 (2003), 1305–1321

[9] Simonov E. N., Avramov D. V., “On the Issue of Obtaining Volumetric Images in X-Ray Computed Tomography”, Bulletin of the South Ural State University. Series: Computer Technology, Automatic Control, Radio Electronics, 15:4 (2015), 50–57 (in Russian)

[10] Simonov E. N., Avramov M. V., Avramov D. V., “Volumetric Rendering Method for Visualizing Three-Dimensional Data in X-Ray Computed Tomography”, Bulletin of the South Ural State University. Series: Computer Technology, Automatic Control, Radio Electronics, 16:4 (2016), 5–12 (in Russian) | DOI

[11] Simonov E. N., Avramov M. V., “Review of Image Reconstruction Methods in X-Ray Computed Tomography with Cone-Beam Geometry”, Bulletin of the South Ural State University. Series: Computer Technology, Automatic Control, Radio Electronics, 18:2 (2018), 29–37 | DOI

[12] B.D. Smith, “Cone-Beam Tomography: Recent Advances and Tutorial Review”, Optical Engineering, 29 (1991), 524–534

[13] V. Bronnikov, G. Duifhuis, “Wavelet-Based Image Enhancementin X-Ray Imaging and Tomography”, Applied Optics, 37 (1998), 4437–4448

[14] Kirillov A., “On a Problem of I.M. Gelfand”, Doklady Akademii Nauk SSSR: Mathematics, 1961, no. 2, 268–269

[15] Heang K. Tuy, “An Inversion Formula for Cone-Beam Reconstruction”, SIAM Journal on Applied Mathematics, 43 (1983), 546–552

[16] A.V. Bronnikov, “Cone-Beam Reconstruction by Backprojection and Filtering”, Journal of the Optical Society of America A, 17:11 (2000), 1993–2000

[17] Hermen G., Reconstruction of Images from Projections: Fundamentals of Reconstructive Tomography, Mir, M., 1983 (in Russian)