scholarly journals Multicore Performance of Block Algebraic Iterative Reconstruction Methods

2014 ◽  
Vol 36 (5) ◽  
pp. C524-C546 ◽  
Author(s):  
Hans Henrik B. Sørensen ◽  
Per Christian Hansen
Keyword(s):  
Iterative Reconstruction ◽  
Reconstruction Methods ◽  
Algebraic Iterative Reconstruction

scholarly journals Row Action Algebraic Reconstruction Techniques Implementation in Graphic Cards using SCILAB (Benchmark in Medical Imaging, Seismic Imaging and Walnut Imaging)

2020 ◽  
Author(s):  
Agah Drajat Garnadi ◽  
Muhammad Ilyas ◽  
M.T. Julianto ◽  
S. Nurdiati
Keyword(s):  
Medical Imaging ◽  
Inverse Problems ◽  
Iterative Reconstruction ◽  
Seismic Tomography ◽  
Seismic Imaging ◽  
Test Problems ◽  
Reconstruction Methods ◽  
Algebraic Reconstruction Techniques ◽  
Algebraic Iterative Reconstruction ◽  
Action Methods

In this article we present a SCILAB implementation of algebraic iterative reconstruction methods for discretisation of inverse problems in imaging. These so-called row action methods rely on semi-convergence for achieving the necessary regularisation of the problem. We implement this method using SCILAB and provide a few simplified test problems: medical tomography, seismic tomography and walnut tomography.Numerical results show the capability of this method for the original and perturbed right-hand side vector.

scholarly journals Parallelization of Karcsmarz Algorithm using Graphic Cards for Seismic Imaging

2017 ◽  
Author(s):  
Agah D. Garnadi ◽  
Muhammad Ilyas
Keyword(s):  
Inverse Problems ◽  
Iterative Reconstruction ◽  
Seismic Imaging ◽  
Test Problems ◽  
Reconstruction Methods ◽  
Algebraic Iterative Reconstruction ◽  
Action Methods

We present a SCILAB implementation of algebraic iterative reconstruction methods for discretizations of inverse problems in seismic imaging. These so-called row action methods rely on semi-convergence for achieving the necessary regularization of the problem. We parallelize this method using NVIDIA graphics cards and SCILAB toolbox. We provide a few simplified test problems in seismic imaging to test those solver.

scholarly journals Evaluation of Algebraic Iterative Image Reconstruction Methods for Tetrahedron Beam Computed Tomography Systems

2013 ◽  
Vol 2013 ◽  
pp. 1-14
Author(s):  
Joshua Kim ◽  
Huaiqun Guan ◽  
David Gersten ◽  
Tiezhi Zhang
Keyword(s):  
Computed Tomography ◽  
Iterative Reconstruction ◽  
Cone Angle ◽  
Iterative Algorithms ◽  
Projection Data ◽  
Reconstruction Algorithms ◽  
Reconstruction Methods ◽  
Large Cone Angle ◽  
Using Data ◽  
Dual Detector

Tetrahedron beam computed tomography (TBCT) performs volumetric imaging using a stack of fan beams generated by a multiple pixel X-ray source. While the TBCT system was designed to overcome the scatter and detector issues faced by cone beam computed tomography (CBCT), it still suffers the same large cone angle artifacts as CBCT due to the use of approximate reconstruction algorithms. It has been shown that iterative reconstruction algorithms are better able to model irregular system geometries and that algebraic iterative algorithms in particular have been able to reduce cone artifacts appearing at large cone angles. In this paper, the SART algorithm is modified for the use with the different TBCT geometries and is tested using both simulated projection data and data acquired using the TBCT benchtop system. The modified SART reconstruction algorithms were able to mitigate the effects of using data generated at large cone angles and were also able to reconstruct CT images without the introduction of artifacts due to either the longitudinal or transverse truncation in the data sets. Algebraic iterative reconstruction can be especially useful for dual-source dual-detector TBCT, wherein the cone angle is the largest in the center of the field of view.

Applications of Iterative Reconstruction Methods in SPECT

1992 ◽  
pp. 501-521 ◽  
Author(s):  
B. M. W. Tsui ◽  
G. T. Gullberg ◽  
H. B. Hu ◽  
J. G. Ballard ◽  
D. R. Gilland ◽  
...  
Keyword(s):  
Iterative Reconstruction ◽  
Reconstruction Methods
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