Image reconstruction of optical computed tomography by using the algebraic reconstruction technique for dose readouts of polymer gel dosimeters

2015 ◽  
Vol 31 (8) ◽  
pp. 942-947 ◽  
Author(s):  
Cheng-Ting Shih ◽  
Yuan-Jen Chang ◽  
Jui-Ting Hsu ◽  
Keh-Shih Chuang ◽  
Shu-Jun Chang ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Image Reconstruction ◽  
Reconstruction Technique ◽  
Algebraic Reconstruction Technique ◽  
Polymer Gel ◽  
Optical Computed Tomography ◽  
Algebraic Reconstruction

BIFURCATION ANALYSIS OF ITERATIVE IMAGE RECONSTRUCTION METHOD FOR COMPUTED TOMOGRAPHY

2008 ◽  
Vol 18 (04) ◽  
pp. 1219-1225 ◽  
Author(s):  
TETSUYA YOSHINAGA ◽  
YOSHIHIRO IMAKURA ◽  
KEN'ICHI FUJIMOTO ◽  
TETSUSHI UETA
Keyword(s):  
Computed Tomography ◽  
Image Reconstruction ◽  
Computational Method ◽  
Reconstruction Technique ◽  
Reconstruction Method ◽  
Algebraic Reconstruction Technique ◽  
Reconstruction Algorithms ◽  
Iterative Image Reconstruction ◽  
Multiplicative Algebraic Reconstruction Technique ◽  
Algebraic Reconstruction

Of the iterative image reconstruction algorithms for computed tomography (CT), the power multiplicative algebraic reconstruction technique (PMART) is known to have good properties for speeding convergence and maximizing entropy. We analyze here bifurcations of fixed and periodic points that correspond to reconstructed images observed using PMART with an image made of multiple pixels and we investigate an extended PMART, which is a dynamical class for accelerating convergence. The convergence process for the state in the neighborhood of the true reconstructed image can be reduced to the property of a fixed point observed in the dynamical system. To investigate the speed of convergence, we present a computational method of obtaining parameter sets in which the given real or absolute values of the characteristic multiplier are equal. The advantage of the extended PMART is verified by comparing it with the standard multiplicative algebraic reconstruction technique (MART) using numerical experiments.

Algebraic Reconstruction Technique in Image Reconstruction Based on Data Mining

2008 ◽  
pp. 3493-3508
Author(s):  
Zhong Qu
Keyword(s):  
Computed Tomography ◽  
Data Mining ◽  
Image Reconstruction ◽  
Iteration Process ◽  
Algebraic Method ◽  
Projection Data ◽  
Reconstruction Technique ◽  
Algebraic Reconstruction Technique ◽  
Industrial Computed Tomography ◽  
Algebraic Reconstruction

Image reconstruction is one of the key technologies in industrial computed tomography. In this paper, an efficient iterative image reconstruction algorithm in industrial computed tomography with the narrow fan-beam projection based on data mining was discussed in detail. In image reconstruction, algebraic technique has un-replaceable advantage when data is incomplete or noise is high. However algebraic method has been highly limited in applications for its low reconstruction speed. In order to resolve this problem, the algebraic reconstruction technique (ART) as a new iterative method, is introduced to accelerate the iteration process and increase the reconstruction speed. Experiment results clearly demonstrate that the algorithm reconstruction technique can effectively improve the quality of images reconstruction in dealing with incomplete projection or noisy projection data.

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