Development of novel statistical reconstruction algorithms for poly-energetic X-ray computed tomography

2008 ◽  
Vol 92 (3) ◽  
pp. 289-293 ◽  
Author(s):  
Ho-Shiang Chueh ◽  
Wen-Kai Tsai ◽  
Chih-Chieh Chang ◽  
Shu-Ming Chang ◽  
Kuan-Hao Su ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Reconstruction Algorithms ◽  
X Ray ◽  
Statistical Reconstruction ◽  
X Ray Computed

scholarly journals Optimization of the energy for Breast monochromatic absorption X-ray Computed Tomography

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Pasquale Delogu ◽  
Vittorio Di Trapani ◽  
Luca Brombal ◽  
Giovanni Mettivier ◽  
Angelo Taibi ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Imaging Techniques ◽  
Fixed Dose ◽  
X Rays ◽  
Reconstruction Algorithms ◽  
Contrast Resolution ◽  
X Ray ◽  
X Ray Imaging ◽  
X Ray Computed ◽  
Dose Levels

Abstract The limits of mammography have led to an increasing interest on possible alternatives such as the breast Computed Tomography (bCT). The common goal of all X-ray imaging techniques is to achieve the optimal contrast resolution, measured through the Contrast to Noise Ratio (CNR), while minimizing the radiological risks, quantified by the dose. Both dose and CNR depend on the energy and the intensity of the X-rays employed for the specific imaging technique. Some attempts to determine an optimal energy for bCT have suggested the range 22 keV–34 keV, some others instead suggested the range 50 keV–60 keV depending on the parameters considered in the study. Recent experimental works, based on the use of monochromatic radiation and breast specimens, show that energies around 32 keV give better image quality respect to setups based on higher energies. In this paper we report a systematic study aiming at defining the range of energies that maximizes the CNR at fixed dose in bCT. The study evaluates several compositions and diameters of the breast and includes various reconstruction algorithms as well as different dose levels. The results show that a good compromise between CNR and dose is obtained using energies around 28 keV.

Radiography registration for mosaic tomography

2017 ◽  
Vol 24 (3) ◽  
pp. 686-694 ◽  
Author(s):  
R. F. C. Vescovi ◽  
M. B. Cardoso ◽  
E. X. Miqueles
Keyword(s):  
Computed Tomography ◽  
Phase Correlation ◽  
Field Of View ◽  
Experimental Setup ◽  
Reconstruction Algorithms ◽  
X Ray ◽  
Synchrotron Tomography ◽  
Correlation Image ◽  
X Ray Computed ◽  
Single Dataset

A hybrid method of stitching X-ray computed tomography (CT) datasets is proposed and the feasibility to apply the scheme in a synchrotron tomography beamline with micrometre resolution is shown. The proposed method enables the field of view of the system to be extended while spatial resolution and experimental setup remain unchanged. The approach relies on taking full tomographic datasets at different positions in a mosaic array and registering the frames using Fourier phase correlation and a residue-based correlation. To ensure correlation correctness, the limits for the shifts are determined from the experimental motor position readouts. The masked correlation image is then minimized to obtain the correct shift. The partial datasets are blended in the sinogram space to be compatible with common CT reconstructors. The feasibility to use the algorithm to blend the partial datasets in projection space is also shown, creating a new single dataset, and standard reconstruction algorithms are used to restore high-resolution slices even with a small number of projections.

scholarly journals XDesign: an open-source software package for designing X-ray imaging phantoms and experiments

2017 ◽  
Vol 24 (2) ◽  
pp. 537-544 ◽  
Author(s):  
Daniel J. Ching ◽  
Dogˇa Gürsoy
Keyword(s):  
Computed Tomography ◽  
Data Acquisition ◽  
Software Package ◽  
Reconstruction Algorithms ◽  
X Ray ◽  
X Ray Imaging ◽  
Imaging Phantoms ◽  
Open Source Software Package ◽  
X Ray Computed ◽  
Image Reconstruction Algorithms

The development of new methods or utilization of current X-ray computed tomography methods is impeded by the substantial amount of expertise required to design an X-ray computed tomography experiment from beginning to end. In an attempt to make material models, data acquisition schemes and reconstruction algorithms more accessible to researchers lacking expertise in some of these areas, a software package is described here which can generate complex simulated phantoms and quantitatively evaluate new or existing data acquisition schemes and image reconstruction algorithms for targeted applications.

Statistical reconstruction for x-ray computed tomography using energy-integrating detectors

2007 ◽  
Vol 52 (8) ◽  
pp. 2247-2266 ◽  
Author(s):  
Giovanni M Lasio ◽  
Bruce R Whiting ◽  
Jeffrey F Williamson
Keyword(s):  
Computed Tomography ◽  
X Ray ◽  
Statistical Reconstruction ◽  
X Ray Computed

Application of X-ray computed tomography to soil science: A literature review

2008 ◽  
Vol 88 (1) ◽  
pp. 1-19 ◽  
Author(s):  
I A Taina ◽  
R J Heck ◽  
T R Elliot
Keyword(s):  
Computed Tomography ◽  
Spatial Configuration ◽  
Energy Levels ◽  
Three Dimensional ◽  
Spatial Arrangement ◽  
Invasive Technique ◽  
Reconstruction Algorithms ◽  
Biotic Factor ◽  
X Ray ◽  
X Ray Computed

The study of the spatial configuration of soil, in its complexity, requires an understanding of the interrelations and interactions between the diverse soil constituents, at various levels of organization. Investigations of the spatial arrangement of the mineral and organic components of soil have benefited from the development of techniques for structural analysis. X-ray computed tomography (CT) is a non-destructive and non-invasive technique that has been successfully used for three-dimensional (3D) examination of soil. Valuable information has been obtained by the application of CT for the description and quantitative measurements of soil structure elements, especially of soil pores and pore network features. In many studies, X-ray CT has been used to investigate the hydro-physical characteristics of the soil, in a functional and temporal manner. A dynamic approach has also been utilized in the evaluation of the biotic factor influence on soil. The analysis of soil solid phases, by X-ray CT, has been challenging due to the similar X-ray attenuation of different solid constituents. However, the use of multiple X-ray energy levels has facilitated the discrimination of minerals in soil. The aim of this review and synthesis is to offer a perspective on the major issues related to application of the technique, general attempted solutions and possible directions in the utilization of X-ray CT in soil research. Relevant scanning parameters, procedures for CT image reconstruction, algorithms for the quantification of soil characteristics and results are presented for each type of application. Key words: X-ray computed tomography, energy level, spatial resolution, segmentation, soil mineral and organic constituents, soil physical and hydro-physical properties, soil biota

X-Ray Computed Tomography of Ultralightweight Metals

1999 ◽  
Vol 11 (1) ◽  
pp. 199-211
Author(s):  
J. M. Winter ◽  
R. E. Green ◽  
A. M. Waters ◽  
W. H. Green
Keyword(s):  
Computed Tomography ◽  
X Ray ◽  
X Ray Computed
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