scholarly journals Joint Optimization of Collimator and Reconstruction Parameters in X-Ray Fluorescence Computed Tomography Using Analytical Point Spread Function and Model Observer

2020 ◽  
Vol 67 (9) ◽  
pp. 2443-2452
Author(s):  
Hsin Wu Tseng ◽  
Srinivasan Vedantham ◽  
Sang Hyun Cho ◽  
Andrew Karellas
Keyword(s):  
Computed Tomography ◽  
Point Spread Function ◽  
Joint Optimization ◽  
X Ray ◽  
Point Spread ◽  
Spread Function ◽  
Analytical Point ◽  
Model Observer

scholarly journals PSF correction in soft x-ray tomography

2018 ◽  
Author(s):  
Axel Ekman ◽  
Venera Weinhardt ◽  
Jian-Hua Chen ◽  
Gerry McDermott ◽  
Mark A. Le Gros ◽  
...  
Keyword(s):  
Experimental Data ◽  
Linear Model ◽  
Linear Approximation ◽  
Optical System ◽  
Point Spread Function ◽  
Three Dimensional ◽  
X Ray ◽  
Iterative Schemes ◽  
Point Spread ◽  
Spread Function

AbstractIn this manuscript, we introduce a linear approximation of the forward model of soft x-ray tomography (SXT), such that the reconstruction is solvable by standard iterative schemes. This linear model takes into account the three-dimensional point spread function (PSF) of the optical system, which consequently enhances the reconstruction data. The feasibility of the model is demonstrated on both simulated and experimental data, based on theoretically estimated and experimentally measured PSFs.

Deconvolution of the two-dimensional point-spread function of area detectors using the maximum-entropy algorithm

1999 ◽  
Vol 32 (4) ◽  
pp. 683-691 ◽  
Author(s):  
H. Graafsma ◽  
R. Y. de Vries
Keyword(s):  
Maximum Entropy ◽  
Point Spread Function ◽  
Contrast Ratio ◽  
Entropy Method ◽  
Protein Crystal ◽  
Two Dimensional ◽  
Two Phase ◽  
X Ray ◽  
Point Spread ◽  
Spread Function

The maximum-entropy method (MEM) has been applied for the deconvolution of the point-spread function (PSF) of two-dimensional X-ray detectors. The method is robust, model and image independent, and only depends on the correct description of the two-dimensional point-spread function and gain factor of the detector. A significant enhancement of both the spatial resolution and the contrast ratio has been obtained for two phase-contrast images recorded with an ultra-high-resolution X-ray imaging detector. The method has also been applied to a Laue diffraction image of a protein crystal, showing an important improvement in both the peak separation of closely spaced diffraction peaks and the signal-to-noise ratio of medium and weak peaks. The principle of the method is explained and examples of its application are presented.

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