Measurement Quality of MITS Reconstructed Tomosynthesis Slices Depending from Parameters of Images Acquiring and Reconstruction Algorithm

Author(s):  
Dániel Hadházi ◽  
Ákos Horváth ◽  
Gábor Horváth
2016 ◽  
Vol 5 (8) ◽  
pp. 205846011666229 ◽  
Author(s):  
Heloise Barras ◽  
Vincent Dunet ◽  
Anne-Lise Hachulla ◽  
Jochen Grimm ◽  
Catherine Beigelman-Aubry

2010 ◽  
Vol 8 (3) ◽  
pp. 187-212 ◽  
Author(s):  
Terrance J. Taylor ◽  
Finn-Aage Esbensen ◽  
Bradley T. Brick ◽  
Adrienne Freng

Elijah Anderson’s ‘‘code of the streets’’ has received considerable attention as a promising approach to understanding youths violence. One area which has received scant attention, however, is the measurement quality of the street code concept. Using data collected from more than 3,300 middle school youths residing in seven geographically and demographically diverse U.S. cities between 2007 and 2009, the authors seek to answer the following questions: (a) What are the psychometric properties of the attitudes toward street code-related violence scale (in terms of dimensionality and internal consistency) across demographic subgroups (i.e., race/ethnicity, sex, and age groups) and social contexts (i.e., cities)? and (b) To what extent does the level of acceptance of the attitudes associated with street code-related violence vary across demographic subgroups and social contexts? Results illustrate that the scale performs similarly across groups and contexts, but the actual level of acceptance of street code-related violence varies considerably.


2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Qiang Wu ◽  
Jinchao Feng ◽  
Kebin Jia ◽  
Xiangyu Wang

Bioluminescence tomography (BLT) has a great potential to provide a powerful tool for tumor detection, monitoring tumor therapy progress, and drug development; developing new reconstruction algorithms will advance the technique to practical applications. In the paper, we propose a BLT reconstruction algorithm by combining SP3equations and Bregman iteration method to improve the quality of reconstructed sources. The numerical results for homogeneous and heterogeneous phantoms are very encouraging and give significant improvement over the algorithms without the use of SP3equations and Bregman iteration method.


2010 ◽  
Vol 8 (1) ◽  
pp. 151 ◽  
Author(s):  
Małgorzata Farnik ◽  
Grzegorz Brożek ◽  
Władysław Pierzchała ◽  
Jan E Zejda ◽  
Michał Skrzypek ◽  
...  

2018 ◽  
Vol 25 (3) ◽  
pp. 587-592 ◽  
Author(s):  
Liang Chen ◽  
Qiang Xiao ◽  
Wei Liang ◽  
Jingxian Hong ◽  
Xingjiang Zou

Abstract Lamb wave tomography can be used to evaluate structural integrity. The time-of-flight (TOF) data are usually recorded as input to the reconstruction algorithm. For composite materials, TOF estimation is complicated due to their anisotropy. To reduce the effects of anisotropy on image reconstruction, the TOF data of flawed plates are revised according to baseline data obtained from an unflawed plate. Tomographic images are reconstructed using the original and revised TOF data, respectively. Results show that images reconstructed using the revised TOF data have better visual quality and that TOF data revision can substantially reduce the artifacts resulting from anisotropy in defect detection of composite materials.


2020 ◽  
Vol 10 (2) ◽  
pp. 137-149 ◽  
Author(s):  
Robert Cierniak ◽  
Piotr Pluta ◽  
Andrzej Kaźmierczak

AbstractThe paper presented here describes a new practical approach to the reconstruction problem applied to 3D spiral x-ray tomography. The concept we propose is based on a continuous-to-continuous data model, and the reconstruction problem is formulated as a shift invariant system. This original reconstruction method is formulated taking into consideration the statistical properties of signals obtained by the 3D geometry of a CT scanner. It belongs to the class of nutating reconstruction methods and is based on the advanced single slice rebinning (ASSR) methodology. The concept shown here significantly improves the quality of the images obtained after reconstruction and decreases the complexity of the reconstruction problem in comparison with other approaches. Computer simulations have been performed, which prove that the reconstruction algorithm described here does indeed significantly outperforms conventional analytical methods in the quality of the images obtained.


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