Deformation of tomograms for curvilinear tomography problems
Numerical methods and programming, Tome 23 (2022) no. 1, pp. 1-12.

Voir la notice de l'article provenant de la source Math-Net.Ru

Earlier in our works, it was proposed to apply the method of a fan-beam mapping into a set of parallel lines in the problems of fan-beam tomography. This was achieved by special deformation of the reconstracted tomogram at the stage of back projection of the measured and filtered projections, followed by the operation of reverse deformation. The deformation of the tomogram for each direction of observation will be different, but the one-to-one nature of these deformations allows you to return to the original coordinate system. In this paper, the method is generalized to a family of plane curvilinear trajectories that allow one-to-one transitions to parallel rays. For each back projection, the image is modulated by a known function following from the path differential of the given trajectory. The results of generalization of the FBP algorithm widely used in two-dimensional tomography methods are demonstrated by examples of parabolic, sinusoidal and fan-beam ray trajectories.
Keywords: inverse problems, fan-beam tomography, curvilinear tomography, numerical simulation.
Mots-clés : Radon transform
@article{VMP_2022_23_1_a0,
     author = {V. V. Pickalov},
     title = {Deformation of tomograms for curvilinear tomography problems},
     journal = {Numerical methods and programming},
     pages = {1--12},
     publisher = {mathdoc},
     volume = {23},
     number = {1},
     year = {2022},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/VMP_2022_23_1_a0/}
}
TY  - JOUR
AU  - V. V. Pickalov
TI  - Deformation of tomograms for curvilinear tomography problems
JO  - Numerical methods and programming
PY  - 2022
SP  - 1
EP  - 12
VL  - 23
IS  - 1
PB  - mathdoc
UR  - http://geodesic.mathdoc.fr/item/VMP_2022_23_1_a0/
LA  - ru
ID  - VMP_2022_23_1_a0
ER  - 
%0 Journal Article
%A V. V. Pickalov
%T Deformation of tomograms for curvilinear tomography problems
%J Numerical methods and programming
%D 2022
%P 1-12
%V 23
%N 1
%I mathdoc
%U http://geodesic.mathdoc.fr/item/VMP_2022_23_1_a0/
%G ru
%F VMP_2022_23_1_a0
V. V. Pickalov. Deformation of tomograms for curvilinear tomography problems. Numerical methods and programming, Tome 23 (2022) no. 1, pp. 1-12. http://geodesic.mathdoc.fr/item/VMP_2022_23_1_a0/