Comparison of 3d reconstruction algorithm in x-ray computed tomography

The article analyzes the existing three-dimensional image reconstruction algorithms in cone-beam X-ray computed tomography with a spiral trajectory of the source. The main approaches to the design of the reconstruction algorithms are considered, their brief classification is given. The focus is on approximate Feldcamp-type algorithms and methods of rebinning cone data to parallel geometry. The extended parallel backprojection and advanced single-slice rebinning algorithms, their advantages and disadvantages are described. The authors have considered the exact methods for solving image reconstruction problem for the 3D data set in cone-beam CT. The author describes the additional conditions imposed on the projection data, the computational efficiency of the algorithms, and the quality of the images. The emphasis is on relation between the cone beam and Radon transform and the classical 3D Radon transform inversion. The general scheme for constructing inversion algorithms for cone beam CT is described. The algorithm of cone-beam reconstruction by backprojection and filtering is considered. The advantages and disadvantages of exact reconstruction algorithms are presented.