A Multiresolution Approach to Iterative Reconstruction Algorithms in X-Ray Computed Tomography

2010 ◽  
Vol 19 (9) ◽  
pp. 2419-2427 ◽  
Author(s):  
Y De Witte ◽  
J Vlassenbroeck ◽  
L Van Hoorebeke
Keyword(s):  
Computed Tomography ◽  
Iterative Reconstruction ◽  
Reconstruction Algorithms ◽  
X Ray ◽  
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.

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

Region of interest processing for iterative reconstruction in x-ray computed tomography

2015 ◽  
Author(s):  
Felix K. Kopp ◽  
Radin A. Nasirudin ◽  
Kai Mei ◽  
Andreas Fehringer ◽  
Franz Pfeiffer ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Iterative Reconstruction ◽  
Region Of Interest ◽  
X Ray ◽  
X Ray Computed
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