Experimental proof of an idea for a CT-scanner with dose reduction potential

2008 ◽  
Author(s):  
Hugo de las Heras ◽  
Oleg Tischenko ◽  
Bernhard Renger ◽  
Yuan Xu ◽  
Christoph Hoeschen
2021 ◽  
Author(s):  
Eddy Fotso Kamdem ◽  
Odette Ngano Samba ◽  
Serge Abogo ◽  
Joshua Tambe ◽  
Jean Claude Mballa Amougou ◽  
...  

Abstract Objectif : Evaluate the knowledge of medical imaging technicians on the use of dose reduction software and the concept of patient radiation protection.Materials and methods : Descriptive and analytical transversal study from January 1 to December 1, 2020, conducted in the radiology and medical imaging services of Cameroon's public and private hospitals with a CT scanner. It was the first study on this topic that was conducted in Cameroon. This study was conducted from a questionnaire distributed to all medical imaging technicians in 10 country hospitals relating to the notions of dose reduction software and patient radiation protection.Results: 80 questionnaires were distributed and analyzed. The average age of medical imaging technicians was 30 years old. There were 32 women and 48 men. Most of the medical imaging technicians worked in private centers (n = 6). 75% of medical imaging technicians had been in practice for more than 5 years. 75% of medical imaging technicians gave the wrong answer regarding the use of dose reduction software. Finally, only a third of the practitioners had received training in patient radiation protection.Conclusion : Although the majority of medical imaging technicians declares to take into account the dangers related to ionizing radiation during examinations, a broader dissemination of patient radiation protection training and the use of dose reduction software, particularly during the initial curriculum. Radiology technicians could be one of the solutions to improve the knowledge of hospital practitioners in patient radiation protection. However, the use of ionizing radiation, however, need to know and take into account the potential risks of radio-induced cancer linked to high X-ray doses.


2017 ◽  
Vol 27 (9) ◽  
pp. 3618-3624 ◽  
Author(s):  
Ronald Booij ◽  
Marcel L. Dijkshoorn ◽  
Marcel van Straten

2009 ◽  
Author(s):  
Hugo de las Heras ◽  
Oleg Tischenko ◽  
Helmut Schlattl ◽  
Yuan Xu ◽  
Christoph Hoeschen

2013 ◽  
Vol 48 (12) ◽  
pp. 857-862 ◽  
Author(s):  
Joerg Blobel ◽  
Juergen Mews ◽  
Joanne Désirée Schuijf ◽  
Willem Overlaet

2016 ◽  
Vol 45 (8) ◽  
pp. 20160228 ◽  
Author(s):  
Stephan Ellmann ◽  
Ferdinand Kammerer ◽  
Thomas Allmendinger ◽  
Michael Brand ◽  
Rolf Janka ◽  
...  

Author(s):  
Suyudi I

Abstract Background: The HU linearity is an essential parameter in a quantitative imaging and the treatment planning systems of radiotherapy. Objective: This study aims to evaluate the linearity of Hounsfield unit (HU) in applying the adaptive iterative dose reduction (AIDR) on CT scanner and its comparison to the filtered back-projection (FBP). Material and Methods: In this experimental phantom study, a TOS-phantom was scanned using a Toshiba Alexion 6 CT scanner. The images were reconstructed using the FBP and AIDR. Measurements of HU and noise values were performed on images of the “HU linearity” module of the TOS-phantom. The module had five embedded objects, i.e., air, polypropylene, nylon, acrylic, and Delrin. On each object, a circle area of 4.32 cm2 was drawn and used to measure HU and noise values. The R2 of the relation between mass densities vs. HU values was used to measure HU linearities at four different tube voltages. The Mann-Whitney U test was used to compare unpaired data and p-value < 0.05 was considered statistically significant. Results: The AIDR method produced a significant smaller image noise than the FBP method (p-value < 0.05). There were no significant differences in HU values of images reconstructed using FBP and AIDR methods (p-value > 0.05). The HU values acquired by the methods showed the same linearity marked by coinciding linear lines with the same R2 value (> 0.999). Conclusion: AIDR methods produce the HU linearity as FBP methods with a smaller image noise level.


2006 ◽  
Author(s):  
Oleg Tischenko ◽  
Yuan Xu ◽  
Christoph Hoeschen

2007 ◽  
Author(s):  
Hugo de las Heras ◽  
Oleg Tischenko ◽  
Werner Panzer ◽  
Yuan Xu ◽  
Christoph Hoeschen

2018 ◽  
Vol 91 (1092) ◽  
pp. 20180580 ◽  
Author(s):  
Ting-ting Qu ◽  
Jian-ying Li ◽  
Xi-jun Jiao ◽  
Xiang-li Zhang ◽  
Zhe-fan Song ◽  
...  

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