Projections of charged particle beam current density (profiles) are frequently used as a measure of beam position and size. In conventional practice only two projections, usually horizontal and vertical, are measured. This puts a severe limit on the detail of information that can be achieved. A third projection provides a significant improvement. The Algebraic Reconstruction Technique (ART) use...

Algebraic reconstruction techniques (ART) are iterative procedures for reconstructing objects from their projections. It is proven that ART can be computationally efficient by carefully arranging the order in which the collected data are accessed during the reconstruction procedure and adaptively adjusting the relaxation parameters. In this paper, an adaptive algebraic reconstruction technique ...

We propose two variable weighted iterative reconstruction algorithms (VW-ART and VW-OS-SART) to improve the algebraic reconstruction technique (ART) and simultaneous algebraic reconstruction technique (SART) and establish their convergence. In the two algorithms, the weighting varies with the geometrical direction of the ray. Experimental results with both numerical simulation and real CT data ...

Algebraic Reconstruction Technique (ART) is most accurate method for image reconstruction. In present paper the accuracy of ART is shown with parallel projections, in all only 16 projections with about 60 iterations are used to obtain reconstruction. Reference R. Gordon et al., “Three-Dimensional Reconstruction from Projections: A Review of Algorithms”, International Review of Cytology, Vol. 38...

Algebraic Reconstruction Technique (ART) is an iterative algorithm to obtain reconstruction from projections in a finite number of iterations. The present paper discuses the convergence achieved in small number of iteration even when projection data is available in only four directions. Keywords-ART, Image Reconstruction, Convergence, Projections, Computed Tomography

In this paper, we compare different industrial tomography algorithms to present the result of gamma scanning as a two-dimensional image of density distribution. In two-dimensional gamma scanning, an unconventional irradiation geometry is used and consequently many classic image reconstruction algorithms cannot be used. We tested two iterative reconstruction methods: ART (Algebraic Reconstructio...

Accelerating the Anti-aliased Algebraic Reconstruction Technique 2 enables us to transform ART into a backward-viewing algorithm in which voxels are projected individually onto the projection plane where their effects accumulate to form the projection image. Similarly to the PKLUT's used in [3], voxel footprints can be implemented as high-resolution 1D voxel projection tables (2D for cubic voxe...

In this paper we present an efficient implementation of an algorithm for reconstructing a 3D volume from limited angle projection data, based on statistical inversion theory. We demonstrate the strength of the method for detecting structural defects in large composite aerospace components, whose dimensions prevent acquiring measurements over the full circle. In comparison with a number of other...

Fluorescence diffuse optical tomography (fDOT) is a noninvasive imaging technique that makes it possible to quantify the spatial distribution of fluorescent tracers in small animals. fDOT image reconstruction is commonly performed by means of iterative methods such as the algebraic reconstruction technique (ART). The useful results yielded by more advanced l1-regularized techniques for signal r...

Digital breast tomosynthesis (DBT) is an innovative imaging modality that provides 3D reconstructed images of breast to detect the breast cancer. Projections obtained with an X-ray source moving in a limited angle interval are used to reconstruct 3D image of breast. Several reconstruction algorithms are available for DBT imaging. Filtered back projection algorithm has traditionally been used to...