In 1984, the simultaneous algebraic reconstruction technique (SART) was developed as a major refinement of the algebraic reconstruction technique (ART). Since then, the SART approach remains a powerful tool for iterative image reconstruction. However, the convergence of the SART has never been established. In this paper, this long-standing conjecture is proven under the condition that coefficients of the linear imaging system are non-negative. It is shown that from any initial value the sequence generated by the SART converges to a weighted least square solution. The importance of the SART and several relevant issues are also discussed.EI
To maximize the time-integrated X-ray flux from multiple X-ray sources and shorten the data acquisit...
The iterative approach is important for computed tomography (CT) and attracting more and more attent...
This collection of MATLAB software contains implementations of several Algebraic Itera-tive Reconstr...
In 1984, the simultaneous algebraic reconstruction technique (SART) was developed as a major refinem...
Abstract—Computed tomography (CT) has been extensively studied for years and widely used in the mode...
Simultaneous algebraic reconstruction technique (SART) [1, 2] is an iterative method for solving inv...
We introduce a general iterative scheme for image reconstruction based on Landweber's method. I...
Based on the recent mathematical findings on solving the linear inverse problems with sparsity const...
The Landweber scheme is an algebraic reconstruction method and includes several important algorithms...
We propose two variable weighted iterative reconstruction algorithms (VW-ART and VW-OS-SART) to impr...
We propose two variable weighted iterative reconstruction algorithms (VW-ART and VW-OS-SART) to impr...
Compared to analytical reconstruction by Feldkamp-Davis-Kress (FDK), simultaneous algebraic reconstr...
Many imaging systems can be modeled by the following linear system of equationsAx = b, (1)where theo...
Algebraic Reconstruction Techniques (ART), on their both successive or simultaneous formulation, hav...
\u3cp\u3eWe consider algebraic iterative reconstruction methods with applications in image reconstru...
To maximize the time-integrated X-ray flux from multiple X-ray sources and shorten the data acquisit...
The iterative approach is important for computed tomography (CT) and attracting more and more attent...
This collection of MATLAB software contains implementations of several Algebraic Itera-tive Reconstr...
In 1984, the simultaneous algebraic reconstruction technique (SART) was developed as a major refinem...
Abstract—Computed tomography (CT) has been extensively studied for years and widely used in the mode...
Simultaneous algebraic reconstruction technique (SART) [1, 2] is an iterative method for solving inv...
We introduce a general iterative scheme for image reconstruction based on Landweber's method. I...
Based on the recent mathematical findings on solving the linear inverse problems with sparsity const...
The Landweber scheme is an algebraic reconstruction method and includes several important algorithms...
We propose two variable weighted iterative reconstruction algorithms (VW-ART and VW-OS-SART) to impr...
We propose two variable weighted iterative reconstruction algorithms (VW-ART and VW-OS-SART) to impr...
Compared to analytical reconstruction by Feldkamp-Davis-Kress (FDK), simultaneous algebraic reconstr...
Many imaging systems can be modeled by the following linear system of equationsAx = b, (1)where theo...
Algebraic Reconstruction Techniques (ART), on their both successive or simultaneous formulation, hav...
\u3cp\u3eWe consider algebraic iterative reconstruction methods with applications in image reconstru...
To maximize the time-integrated X-ray flux from multiple X-ray sources and shorten the data acquisit...
The iterative approach is important for computed tomography (CT) and attracting more and more attent...
This collection of MATLAB software contains implementations of several Algebraic Itera-tive Reconstr...