scholarly journals X-ray CT System Working on Dose Reduction of Medical Exposure

2019 ◽  
Vol 85 (9) ◽  
pp. 765-768
Author(s):  
Katsumi GOTANDA
2014 ◽  
Vol 96 (6) ◽  
pp. 206-208 ◽  
Author(s):  
T Hunter ◽  
N Jayasekera ◽  
R Roach

The Ionising Radiation (Protection of Persons Undergoing Medical Examination or Treatment) Regulations 1988 (POPUMET) made it compulsory from June 1990 for all staff directing medical exposures to ionising radiation to receive formal tuition at a core knowledge course. This course described the hazards of ionising radiation and the safe use of x-ray equipment. It instructed on the nature of ionising radiation and its interaction with tissues, principles and means of dose reduction to patient and operator, the importance of using the patient’s existing radiological information and statutory responsibilities. The POPUMET course was discontinued following the Ionising Radiation (Medical Exposure) Regulations 2000 (IR(ME)R). IR(ME)R training for healthcare professionals is available as a half-day theoretical course suitable for those designated as ‘referrer’ by their employers. Other locally run ionising radiation protection courses are tailored to the varied requirements of a spectrum of healthcare professionals.


2020 ◽  
Vol 3 ◽  
pp. 36-39
Author(s):  
Samson O. Paulinus ◽  
Benjamin E. Udoh ◽  
Bassey E. Archibong ◽  
Akpama E. Egong ◽  
Akwa E. Erim ◽  
...  

Objective: Physicians who often request for computed tomography (CT) scan examinations are expected to have sound knowledge of radiation exposure (risks) to patients in line with the basic radiation protection principles according to the International Commission on Radiological Protection (ICRP), the Protection of Persons Undergoing Medical Exposure or Treatment (POPUMET), and the Ionizing Radiation (Medical Exposure) Regulations (IR(ME)R). The aim is to assess the level of requesting physicians’ knowledge of ionizing radiation from CT scan examinations in two Nigerian tertiary hospitals. Materials and Methods: An 18-item-based questionnaire was distributed to 141 practicing medical doctors, excluding radiologists with work experience from 0 to >16 years in two major teaching hospitals in Nigeria with a return rate of 69%, using a voluntary sampling technique. Results: The results showed that 25% of the respondents identified CT thorax, abdomen, and pelvis examination as having the highest radiation risk, while 22% said that it was a conventional chest X-ray. Furthermore, 14% concluded that CT head had the highest risk while 9% gave their answer to be conventional abdominal X-ray. In addition, 17% inferred that magnetic resonance imaging had the highest radiation risk while 11% had no idea. Furthermore, 25.5% of the respondents have had training on ionizing radiation from CT scan examinations while 74.5% had no training. Majority (90%) of the respondents were not aware of the ICRP guidelines for requesting investigations with very little (<3%) or no knowledge (0%) on the POPUMET and the IR(ME)R respectively. Conclusion: There is low level of knowledge of ionizing radiation from CT scan examinations among requesting physicians in the study locations.


Author(s):  
Ho-Il Lee ◽  
Seok-Hwan Bae ◽  
Yeun-Chul Ryu ◽  
Young-Joon Park ◽  
Yong-Gwon Kim

2021 ◽  
Vol 26 (4) ◽  
pp. 166-173
Author(s):  
A.I.  Sevalnev ◽  
A.V. Kutsak ◽  
L.P. Sharavara ◽  
Yu.V. Volkova

The article is devoted to the analysis of limitation of dose load on the population as a result of radiological researches. It is especially actual and represents rather high scientific and practical interest. In this regard, it is very important to have information about the state of the dose load of the population in separate regions and to rank types of diagnostics by the amount of their contribution to the total dose of medical exposure. The aim of the work was to study the state of dose load of the population of Zaporizhzhia region due to X-ray diagnostics, to develop approaches to analysis and forecasting regarding its limitation. Analytical, statistical calculation and logical generalization methods were used in the course of the work. We used the results of studies carried out in accordance with the regional “Program for the Protection of the Population of Zaporizhzhia Region from the Effect of Ionizing Radiation. The authors analyzed scientific publications (15 sources), including 9 Ukrainian and 6 foreign on the relevance of the problem of exposure of the population caused by X-ray diagnostics. The analysis of the results allowed to determine that in 2010-2014 the radiation dose of the population of Zaporizhzhia region due to X-ray diagnostics averaged 0.92 mSv year-1, in 2015-2016 the dose increased and amounted to 0.96 mSv year-1. The proposed approach to the analysis makes it possible to summarize and model data on radiological studies of the population over a long period of time, to identify persistent trends in the contribution of different types of radiation diagnostics to the dose of medical radiation. All this is necessary for the development, first of all, of measures to reduce the frequency of radiography, its replacement by other diagnostic methods. Priority tasks aimed at reducing the dose load of the population due to X-ray examinations are proposed.


Author(s):  
R. Freyer ◽  
K. Sliva ◽  
M. Weissig
Keyword(s):  

2020 ◽  
Vol 38 ◽  
pp. 93-99
Author(s):  
Hiroshi Sakurai ◽  
Kazushi Hoshi ◽  
Yosuke Harasawa ◽  
Daiki Ono ◽  
Kun Zhang ◽  
...  

We developed the photon counting CT system by using a conventional laboratory X-ray source and a CdTe line sensor. Attenuation coefficients were obtained from the measured CT image data. Our suggested method for deriving the electron density and effective atomic number from the measured attenuation coefficients was tested experimentally. The accuracy of the electron densities and effective atomic numbers are about <5 % (the averages of absolute values are 2.6 % and 3.1 %, respectively) for material of 6< Z and Zeff <13. Our suggested simple method, in which we do not need the exact source X-ray spectrum and detector response function, achieves comparable accuracy to the previous reports.


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