The Experts below are selected from a list of 1899 Experts worldwide ranked by ideXlab platform
Katja Radon - One of the best experts on this subject based on the ideXlab platform.
-
The impact of exposure to radio frequency electromagnetic fields on chronic well-being in young people--a cross-sectional study based on Personal Dosimetry.
Environment International, 2010Co-Authors: Sabine Heinrich, Silke Thomas, Rüdiger Von Kries, Christian Heumann, Katja RadonAbstract:Abstract A possible influence of radio frequency electromagnetic field (RF EMF) exposure on health outcomes was investigated in various studies. The main problem of previous studies was exposure assessment. The aim of our study was the investigation of a possible association between RF EMF and chronic well-being in young persons using Personal Dosimetry. 3022 children and adolescents were randomly selected from the population registries of four Bavarian cities in Germany (participation 52%). Personal interview data on chronic symptoms, socio-demographic characteristics and potential confounders were collected. A 24-h radio frequency exposure profile was generated using a Personal dosimeter. Exposure levels over waking hours were expressed as mean percentage of the International Commission on Non-Ionizing Radiation Protection (ICNIRP) reference level. Half of the children and nearly every adolescent owned a mobile phone which was used only for short durations per day. Measured exposure was far below the current ICNIRP reference levels. The most reported chronic symptom in children and adolescents was fatigue. No statistically significant association between measured exposure and chronic symptoms was observed. Our results do not indicate an association between measured exposure to RF EMF and chronic well-being in children and adolescents. Prospective studies investigating potential long-term effects of RF EMF are necessary to confirm our results.
-
exposure to mobile telecommunication networks assessed using Personal Dosimetry and well being in children and adolescents the german mobilee study
Environmental Health, 2008Co-Authors: Silke Thomas, Sabine Heinrich, Anja Kuhnlein, Georg Praml, Rudiger Von Kries, Katja RadonAbstract:Background: Despite the increase of mobile phone use in the last decade and the growing concern whether mobile telecommunication networks adversely affect health and well-being, only few studies have been published that focussed on children and adolescents. Especially children and adolescents are important in the discussion of adverse health effects because of their possibly higher vulnerability to radio frequency electromagnetic fields. Methods: We investigated a possible association between exposure to mobile telecommunication networks and wellbeing in children and adolescents using Personal Dosimetry. A population-based sample of 1.498 children and 1.524 adolescents was assembled for the study (response 52%). Participants were randomly selected from the population registries of four Bavarian (South of Germany) cities and towns with different population sizes. During a Computer Assisted Personal Interview data on participants' well-being, socio-demographic characteristics and potential confounder were collected. Acute symptoms were assessed three times during the study day (morning, noon, evening). Using a dosimeter (ESM-140 Maschek Electronics), we obtained an exposure profile over 24 hours for three mobile phone frequency ranges (measurement interval 1 second, limit of determination 0.05 V/m) for each of the participants. Exposure levels over waking hours were summed up and expressed as mean percentage of the ICNIRP (International Commission on Non-Ionizing Radiation Protection) reference level. Results: In comparison to non-participants, parents and adolescents with a higher level of education who possessed a mobile phone and were interested in the topic of possible adverse health effects caused by mobile telecommunication network frequencies were more willing to participate in the study. The median exposure to radio frequency electromagnetic fields of children and adolescents was 0.18% and 0.19% of the ICNIRP reference level respectively. Conclusion: In comparison to previous studies this is one of the first to assess the individual level of exposure to mobile telecommunication networks using Personal Dosimetry, enabling objective assessment of exposure from all sources and longer measurement periods. In total, Personal Dosimetry was proofed to be a well accepted tool to study exposure to mobile phone frequencies in epidemiologic studies including health effects on children and adolescents.
-
exposure to mobile telecommunication networks assessed using Personal Dosimetry and well being in children and adolescents the german mobilee study
Environmental Health, 2008Co-Authors: Silke Thomas, Sabine Heinrich, Anja Kuhnlein, Georg Praml, Rudiger Von Kries, Katja RadonAbstract:Despite the increase of mobile phone use in the last decade and the growing concern whether mobile telecommunication networks adversely affect health and well-being, only few studies have been published that focussed on children and adolescents. Especially children and adolescents are important in the discussion of adverse health effects because of their possibly higher vulnerability to radio frequency electromagnetic fields. We investigated a possible association between exposure to mobile telecommunication networks and well-being in children and adolescents using Personal Dosimetry. A population-based sample of 1.498 children and 1.524 adolescents was assembled for the study (response 52%). Participants were randomly selected from the population registries of four Bavarian (South of Germany) cities and towns with different population sizes. During a Computer Assisted Personal Interview data on participants' well-being, socio-demographic characteristics and potential confounder were collected. Acute symptoms were assessed three times during the study day (morning, noon, evening). Using a dosimeter (ESM-140 Maschek Electronics), we obtained an exposure profile over 24 hours for three mobile phone frequency ranges (measurement interval 1 second, limit of determination 0.05 V/m) for each of the participants. Exposure levels over waking hours were summed up and expressed as mean percentage of the ICNIRP (International Commission on Non-Ionizing Radiation Protection) reference level. In comparison to non-participants, parents and adolescents with a higher level of education who possessed a mobile phone and were interested in the topic of possible adverse health effects caused by mobile telecommunication network frequencies were more willing to participate in the study. The median exposure to radio frequency electromagnetic fields of children and adolescents was 0.18% and 0.19% of the ICNIRP reference level respectively. In comparison to previous studies this is one of the first to assess the individual level of exposure to mobile telecommunication networks using Personal Dosimetry, enabling objective assessment of exposure from all sources and longer measurement periods. In total, Personal Dosimetry was proofed to be a well accepted tool to study exposure to mobile phone frequencies in epidemiologic studies including health effects on children and adolescents.
-
Personal Dosimetry of exposure to mobile telephone base stations an epidemiologic feasibility study comparing the maschek dosimeter prototype and the antennessa dsp 090 system
Bioelectromagnetics, 2006Co-Authors: Katja Radon, Georg Praml, Hedwig Spegel, Nicole Meyer, Jerome Klein, Jutta Brix, Arno Wiedenhofer, Heinrich Eder, Anja Schulze, Vera EhrensteinAbstract:The aim of our study was to test the feasibility and reliability of Personal Dosimetry. Twenty-four hour exposure assessment was carried out in 42 children, 57 adolescents, and 64 adults using the Maschek dosimeter prototype. Self-reported exposure to mobile phone frequencies were compared with the Dosimetry results. In addition, Dosimetry readings of the Maschek device and those of the Antennessa DSP-090 were compared in 40 subjects. Self-reported exposures were not associated with Dosimetry readings. The measurement results of the two dosimeters were in moderate agreement (rSpearman = 0.35; P = .03). Personal Dosimetry for exposure to mobile phone base station might be feasible in epidemiologic studies. However, the consistency seems to be moderate. Bioelectromagnetics 27:77–81, 2006. © 2005 Wiley-Liss, Inc.
-
Personal Dosimetry of exposure to mobile telephone base stations an epidemiologic feasibility study comparing the maschek dosimeter prototype and the antennessa dsp 090 system
Bioelectromagnetics, 2006Co-Authors: Katja Radon, Georg Praml, Hedwig Spegel, Nicole Meyer, Jerome Klein, Jutta Brix, Arno Wiedenhofer, Heinrich Eder, Anja Schulze, Vera EhrensteinAbstract:The aim of our study was to test the feasibility and reliability of Personal Dosimetry. Twenty-four hour exposure assessment was carried out in 42 children, 57 adolescents, and 64 adults using the Maschek dosimeter prototype. Self-reported exposure to mobile phone frequencies were compared with the Dosimetry results. In addition, Dosimetry readings of the Maschek device and those of the Antennessa DSP-090 were compared in 40 subjects. Self-reported exposures were not associated with Dosimetry readings. The measurement results of the two dosimeters were in moderate agreement (r(Spearman) = 0.35; P = .03). Personal Dosimetry for exposure to mobile phone base station might be feasible in epidemiologic studies. However, the consistency seems to be moderate.
Abdelrahman, Mahmoud Eid Mahmoud - One of the best experts on this subject based on the ideXlab platform.
-
Persoonsdosimetrie van werknemers zonder een fysieke dosimeter met behulp van computationele methoden
Université de Liège Liège Belgium, 2020Co-Authors: Abdelrahman, Mahmoud Eid MahmoudAbstract:Monitoring the individual exposure of workers constitutes an integral part of any radiation protection program. Individual monitoring of exposed workers to external ionizing radiation is essential in order to ensure safe and satisfactory working conditions; demonstrate compliance with dose limits and the application of the ALARA principle. At present, Personal Dosimetry is typically performed by issuing staff with physical dosimeters. These physical measurement devices are part of routine practice, but still have many limitations, both from a practical and from a metrological point of view. The results are usually known only after some delay (30-60 days) with passive dosimeters. In addition, performing precise and reliable Personal dose measurements in all types of workplaces is quite difficult. There are issues with compliance and multiple dosimeters can be mixed up or worn incorrectly. The number and positioning of individual dosimeters is becoming more complex with the new focus on eye lens Dosimetry. Also, the uncertainties with the present dosimeters are not negligible. An uncertainty factor of 2 is accepted as good practice for low doses and for neutron fields in particular the uncertainties are even higher. On the other hand, computational techniques are evolving rapidly. In the past, simplified mathematical phantoms were used, while now very detailed voxel and mesh phantoms are available. In addition, with increasing computational power, such calculations can be performed faster and faster. The objective of this thesis work is to improve occupational Dosimetry by an innovative approach: the development of a computational Dosimetry application based on Monte-Carlo (MC) simulations without the use of physical dosimeters. This is done using a combination of (i) monitoring of the position of workers in real time and (ii) the spatial radiation field, including its energy and angular distribution. With this input, the doses of the workers can be simulated or calculated. The methodology was applied and validated for two situations where improvements in Dosimetry are urgently needed: neutron and interventional radiology workplaces. Human motion tracking system was developed to monitor worker’s movements. The movement of the worker is then used to animate an anthropomorphic flexible computational phantom. As regards interventional radiology workplaces, the required information and data sources have been identified. In particular, for the calculations the most reliable way to gather the required information is from the Radiation Dose Structured Report (RDSR). For neutron fields, the radiation field map of the workplace can be based on analytical calculations or more advanced MC calculations. This proposed methodology for Personal Dosimetry for workers is very innovative and challenging. It explores a new direction in Personal Dosimetry and, as such, adds value to the radiation protection community and regulatory system. In addition, the proposed approach can be used for ALARA optimization, as well as for education and training activities
-
Persoonsdosimetrie van werknemers zonder een fysieke dosimeter met behulp van computationele methoden
Université de Liège Liège Belgium, 2020Co-Authors: Abdelrahman, Mahmoud Eid MahmoudAbstract:audience: researcher, professional, studentMonitoring the individual exposure of workers constitutes an integral part of any radiation protection program. Individual monitoring of exposed workers to external ionizing radiation is essential in order to ensure safe and satisfactory working conditions; demonstrate compliance with dose limits and the application of the ALARA principle. At present, Personal Dosimetry is typically performed by issuing staff with physical dosimeters. These physical measurement devices are part of routine practice, but still have many limitations, both from a practical and from a metrological point of view. The results are usually known only after some delay (30-60 days) with passive dosimeters. In addition, performing precise and reliable Personal dose measurements in all types of workplaces is quite difficult. There are issues with compliance and multiple dosimeters can be mixed up or worn incorrectly. The number and positioning of individual dosimeters is becoming more complex with the new focus on eye lens Dosimetry. Also, the uncertainties with the present dosimeters are not negligible. An uncertainty factor of 2 is accepted as good practice for low doses and for neutron fields in particular the uncertainties are even higher. On the other hand, computational techniques are evolving rapidly. In the past, simplified mathematical phantoms were used, while now very detailed voxel and mesh phantoms are available. In addition, with increasing computational power, such calculations can be performed faster and faster. The objective of this thesis work is to improve occupational Dosimetry by an innovative approach: the development of a computational Dosimetry application based on Monte-Carlo (MC) simulations without the use of physical dosimeters. This is done using a combination of (i) monitoring of the position of workers in real time and (ii) the spatial radiation field, including its energy and angular distribution. With this input, the doses of the workers can be simulated or calculated. The methodology was applied and validated for two situations where improvements in Dosimetry are urgently needed: neutron and interventional radiology workplaces. Human motion tracking system was developed to monitor worker’s movements. The movement of the worker is then used to animate an anthropomorphic flexible computational phantom. As regards interventional radiology workplaces, the required information and data sources have been identified. In particular, for the calculations the most reliable way to gather the required information is from the Radiation Dose Structured Report (RDSR). For neutron fields, the radiation field map of the workplace can be based on analytical calculations or more advanced MC calculations. This proposed methodology for Personal Dosimetry for workers is very innovative and challenging. It explores a new direction in Personal Dosimetry and, as such, adds value to the radiation protection community and regulatory system. In addition, the proposed approach can be used for ALARA optimization, as well as for education and training activities.PODIU
-
First steps towards online Personal Dosimetry Using Computational Methods in Interventional Radiology: operator’s position tracking and simulation input generation
2020Co-Authors: Abdelrahman, Mahmoud Eid Mahmoud, Sere Alai, Phillips Christophe, Vanhavere Filip, Lombardo Pasquale, Covens PeteAbstract:Interventional radiologists/cardiologists are repeatedly exposed to low radiation doses which makes them the group of the highest occupational exposure and put them at high risk of stochastic effects. Routine monitoring of staff is usually performed by means of passive dosimeters. However, current Personal dosimeters are subject to large uncertainties, especially in non-homogeneous fields, like those found in interventional cardiology (IC). Within the PODIUM (Personal Online Dosimetry Using computational Methods) research project, a user-friendly tool was developed based on MCNP code to calculate doses to the staff in IC. The application uses both the data of motion tracking system to generate the position of the operator and the data from the Radiation Dose Structure Report (RDSR) from the imaging device to generate time-dependent parameters of the radiation source. The results of the first clinical validation of the system show a difference of about 50% between simulated Hp(10) with MCNP and measured Hp(10) with electronic Personal dosimeter worn above the lead apron.Introduction With this work we present an innovative system for calculating occupational doses, as it is now being developed within the PODIUM (Personal Online Dosimetry Using computational Methods) project. Individual monitoring of workers is essential to follow up regulatory dose limits and to apply the ALARA principle. However, current Personal dosimeters are subject to large uncertainties, especially in non-homogeneous fields, like those found interventional radiology/cardiology. Workers in these fields also need to wear several dosimeters (extremity, eye lens, above/below apron), which causes practical problems. As the capabilities of computational methods are increasing exponentially, it will become feasible to use pure computations to calculate doses in place of physical dosimeters. Methods In our concept system, operational and protection quantities are calculated by fast Monte Carlo methods. Our dose calculation accounts for the real radiation field (including fluence, energy and angular distributions) and for the relative position of different body parts of the worker. The real movements of exposed workers are captured using depth cameras. This information is translated to a flexible anthropomorphic phantom, and then in Monte-Carlo simulations. For the moment this is done off-line, after the procedure is finished, and the parameters of the procedure are collected. Results For validating our system, we performed tests in interventional radiology (IR) rooms. In total, we followed 15 procedures in Cath-labs at UZ-VUB and CHU- Liège. An accurate analysis of the staff position was performed, and as a first step, we compared simulated Hp(10) and measured Hp(10) with electronic Personal dosimeter (EPD) during an angiography procedure for some of these procedures. The results showed good agreement between the calculated doses and the ones measured by the EPD dosimeter. Conclusions With this work, we show that simulating worker doses based on tracking systems and flexible phantoms is possible. This method has big advantages in interventional radiology workplaces where the fields are non-homogeneous and doses to staff can be relatively high. This method can also help in ALARA applications and for education and training.Peer reviewe
-
First steps towards online Personal Dosimetry Using Computational Methods in Interventional Radiology: operator’s position tracking and simulation input generation
'Elsevier BV', 2020Co-Authors: Abdelrahman, Mahmoud Eid Mahmoud, Sere Alai, Phillips Christophe, Vanhavere Filip, Lombardo Pasquale, Covens PeteAbstract:peer reviewedaudience: researcher, professional, student, popularizationInterventional radiologists/cardiologists are repeatedly exposed to low radiation doses which makes them the group of the highest occupational exposure and put them at high risk of stochastic effects. Routine monitoring of staff is usually performed by means of passive dosimeters. However, current Personal dosimeters are subject to large uncertainties, especially in non-homogeneous fields, like those found in interventional cardiology (IC). Within the PODIUM (Personal Online Dosimetry Using computational Methods) research project, a user-friendly tool was developed based on MCNP code to calculate doses to the staff in IC. The application uses both the data of motion tracking system to generate the position of the operator and the data from the Radiation Dose Structure Report (RDSR) from the imaging device to generate time-dependent parameters of the radiation source. The results of the first clinical validation of the system show a difference of about 50% between simulated Hp(10) with MCNP and measured Hp(10) with electronic Personal dosimeter worn above the lead apron.Introduction With this work we present an innovative system for calculating occupational doses, as it is now being developed within the PODIUM (Personal Online Dosimetry Using computational Methods) project. Individual monitoring of workers is essential to follow up regulatory dose limits and to apply the ALARA principle. However, current Personal dosimeters are subject to large uncertainties, especially in non-homogeneous fields, like those found interventional radiology/cardiology. Workers in these fields also need to wear several dosimeters (extremity, eye lens, above/below apron), which causes practical problems. As the capabilities of computational methods are increasing exponentially, it will become feasible to use pure computations to calculate doses in place of physical dosimeters. Methods In our concept system, operational and protection quantities are calculated by fast Monte Carlo methods. Our dose calculation accounts for the real radiation field (including fluence, energy and angular distributions) and for the relative position of different body parts of the worker. The real movements of exposed workers are captured using depth cameras. This information is translated to a flexible anthropomorphic phantom, and then in Monte-Carlo simulations. For the moment this is done off-line, after the procedure is finished, and the parameters of the procedure are collected. Results For validating our system, we performed tests in interventional radiology (IR) rooms. In total, we followed 15 procedures in Cath-labs at UZ-VUB and CHU- Liège. An accurate analysis of the staff position was performed, and as a first step, we compared simulated Hp(10) and measured Hp(10) with electronic Personal dosimeter (EPD) during an angiography procedure for some of these procedures. The results showed good agreement between the calculated doses and the ones measured by the EPD dosimeter. Conclusions With this work, we show that simulating worker doses based on tracking systems and flexible phantoms is possible. This method has big advantages in interventional radiology workplaces where the fields are non-homogeneous and doses to staff can be relatively high. This method can also help in ALARA applications and for education and training.PODIUM: Personal Online Dosimetry Using computational Method
-
Development and Validation of Online Personal Dosimetry Application Using Computational Method for Interventional Cardiology
2019Co-Authors: Abdelrahman, Mahmoud Eid Mahmoud, Sere Alai, Phillips Christophe, Vanhavere Filip, Lombardo Pasquale, Covens PeteAbstract:Introduction Interventional cardiologists are often occupationally exposed to low radiation doses which put them at risk of stochastic radiation induced detriments. Therefore, individual monitoring of medical staff is essential to follow up regulatory dose limits and to apply the ALARA principle. However, current Personal dosimeters are subject to large uncertainties, especially in non-homogeneous fields, like those found interventional radiology/cardiology. In these workplaces, medical staff should wear several dosimeters (extremity, eye lens, above/below apron) for a proper monitoring. However, the use of multiple dosimeters is unpractical, and in some cases it could hinder the work of the physicians (like in the case of finger dosimeters). As the capabilities of computational methods are increasing exponentially, it will become feasible to use pure computations to calculate doses in place of physical dosimeters. With this work, we present the current state of development of an innovative tool for calculating occupational doses using Monte-Carlo methods. The system is being developed within the PODIUM (Personal Online Dosimetry Using computational Methods) research project. Materials & Methods In typical interventional radiology/cardiology scenarios, operators are exposed to non-homogeneous scatter radiation field coming from the body of the patient. The anisotropy is higher while working close by to the patient for performing manipulations. The two main inputs to our computational Dosimetry system are: a) the spatiotemporal distribution of the scattered radiation field, including its intensity, its energy and its angular distributions; b) the relative position and pose of the operator in the scatter field. 1. Radiation field parameters. The scatter radiation is dependent on a number of factors such as: primary beam intensity, beam projection angle and patient thickness. Acquiring information about the primary beam and the patient can help reproducing the scatter field computationally. Imaging parameters includes kVp, filtration, collimation and beam projection are used to simulate the primary beam and its scattered field in Monte-Carlo simulations. At this stage, such information is obtained from a summary dose report after each procedure. The measured dose-area product (DAP) value allows to normalize the simulated relative doses (eV/g per particle) to the equivalent absolute dose units. 2. Operator motion tracking. The main input to compute doses to operators is the position and pose of the body of the operator relative to the X-ray beam and to the patient. Our system provides an indoor tracking system for tracking the position and the posture of the workers. The system is constituted by a Microsoft Kinect v2 Time-Of-Flight (TOF) camera and by an acquisition software package. The body skeleton information provided by the tracking system is then used to position a phantom. At the current stage, the system represents a proof-of-concept and calculations are done off-line, after the procedure is finished, and the parameters of the procedure are collected. For validating our system, we performed tests in two interventional radiology (IR) rooms. In total, we followed 15 procedures in Cath-labs at UZ-VUB and CHU- ULiège hospitals. The Monte Carlo N-particle code (MCNPX 2.7) code [1] is used in our method for modelling and Dosimetry calculations. The body skeleton information of the main operator provided by the tracking system is used to estimate the position of a dosimeter on the chest level in the simulations. Results An accurate analysis of the staff position was performed, and as a first step, we compared simulated Hp(10) with MCNP and measured Hp(10) with electronic Personal dosimeter (EPD) Mk2.3 from Thermo Fisher Scientific worn above the lead apron during an angiography procedure for some of these procedures. The results showed good agreement with less than 5% difference between the calculated doses and the ones measured by the EPD dosimeter. The differences found in our simulations are easily explained by the uncertainties of the EPD dosemeter. In fact, the study performed by Clairand et al. [2] showed that the EPD Mk2.3 has a variation on the response within 30-40% due to the energy and angular response with the effect of the pulse frequency of the x-ray beam in interventional radiology fields. In addition, simulations provided extra information about the eye lens dose Hp(3) to the operator during one procedure which shows the high spread of the ratio Hp(3)/Hp(10) between 0.48 to 1.75 for different beam projections due to field inhomogeneity. Conclusions and future work With this work, we show that simulating worker doses based on tracking systems and flexible phantoms in Monte-Carlo codes is possible. This method has big advantages in interventional radiology workplaces where the radiation fields are non-homogeneous and doses to staff can be relatively high. This method can also help for the application of the ALARA principle and for education and training of medical staff. For the future, we will transfer the skeletal data to the Realistic Anthropomorphic Flexible computational phantom [3] in Monte-Carlo simulation to calculate organ doses. References [1] D.B. Pelowitz, Ed., "MCNPX User’s Manual Version 2.7.0" LA-CP-11-00438 (2011). [2] Clairand et al. “Use of active Personal dosemeters in interventional radiology and cardiology: Tests in laboratory conditions and recommendations - ORAMED project”, Radiation Measurements, Volume 46, Issue 11, (2011). [3] Lombardo et al. “Development and validation of the realistic anthropomorphic flexible (RAF) phantom”, Health Physics, 114:489–499, 05 (2018). Acknowledgements This project is funded by the CONCERT - European Joint Programme for the Integration of Radiation Protection Research 2014-2018 under grant agreement No. 662287
Vera Ehrenstein - One of the best experts on this subject based on the ideXlab platform.
-
Personal Dosimetry of exposure to mobile telephone base stations an epidemiologic feasibility study comparing the maschek dosimeter prototype and the antennessa dsp 090 system
Bioelectromagnetics, 2006Co-Authors: Katja Radon, Georg Praml, Hedwig Spegel, Nicole Meyer, Jerome Klein, Jutta Brix, Arno Wiedenhofer, Heinrich Eder, Anja Schulze, Vera EhrensteinAbstract:The aim of our study was to test the feasibility and reliability of Personal Dosimetry. Twenty-four hour exposure assessment was carried out in 42 children, 57 adolescents, and 64 adults using the Maschek dosimeter prototype. Self-reported exposure to mobile phone frequencies were compared with the Dosimetry results. In addition, Dosimetry readings of the Maschek device and those of the Antennessa DSP-090 were compared in 40 subjects. Self-reported exposures were not associated with Dosimetry readings. The measurement results of the two dosimeters were in moderate agreement (rSpearman = 0.35; P = .03). Personal Dosimetry for exposure to mobile phone base station might be feasible in epidemiologic studies. However, the consistency seems to be moderate. Bioelectromagnetics 27:77–81, 2006. © 2005 Wiley-Liss, Inc.
-
Personal Dosimetry of exposure to mobile telephone base stations an epidemiologic feasibility study comparing the maschek dosimeter prototype and the antennessa dsp 090 system
Bioelectromagnetics, 2006Co-Authors: Katja Radon, Georg Praml, Hedwig Spegel, Nicole Meyer, Jerome Klein, Jutta Brix, Arno Wiedenhofer, Heinrich Eder, Anja Schulze, Vera EhrensteinAbstract:The aim of our study was to test the feasibility and reliability of Personal Dosimetry. Twenty-four hour exposure assessment was carried out in 42 children, 57 adolescents, and 64 adults using the Maschek dosimeter prototype. Self-reported exposure to mobile phone frequencies were compared with the Dosimetry results. In addition, Dosimetry readings of the Maschek device and those of the Antennessa DSP-090 were compared in 40 subjects. Self-reported exposures were not associated with Dosimetry readings. The measurement results of the two dosimeters were in moderate agreement (r(Spearman) = 0.35; P = .03). Personal Dosimetry for exposure to mobile phone base station might be feasible in epidemiologic studies. However, the consistency seems to be moderate.
M Moscovitch - One of the best experts on this subject based on the ideXlab platform.
-
highlights and pitfalls of 20 years of application of computerised glow curve analysis to thermoluminescence research and Dosimetry
Radiation Protection Dosimetry, 2013Co-Authors: Y.s. Horowitz, M MoscovitchAbstract:: The technical and dosimetric aspects of computerised glow curve analysis are described in detail including a review of the current 'state-of-the-achieved' in applications to environmental and Personal Dosimetry, clinical Dosimetry, quality control, characterisation of new materials, continuing characterisation of 'old' materials, heavy charged particle Dosimetry, mixed field n-gamma Dosimetry, X-ray Dosimetry and other aspects of thermoluminescence Dosimetry. Fearless emphasis is placed on 'pitfalls' as well as successes.
-
uncertainties associated with the use of optically stimulated luminescence in Personal Dosimetry
Radiation Protection Dosimetry, 2011Co-Authors: L A Benevides, A A Romanyukha, F Hull, M Duffy, S Voss, M MoscovitchAbstract:This study investigates several sources of uncertainty associated with the application of optically stimulated luminescence (OSL) to Personal Dosimetry. A commercial OSL system based on Al(2)O(3):C was used for this study. First, it is demonstrated that the concept of repeated evaluation (readout) of the same dosemeter, often referred to as 're-analysis', can introduce uncertainty in the re-estimated dose. This uncertainty is associated with the fact that the re-analysis process depletes some of the populated traps, resulting in a continuous decrease of the OSL signal with each repeated reading. Furthermore, the rate of depletion may be dose-dependent. Second, it is shown that the previously reported light-induced fading in this system is the result of light leaks through miniature openings in the dosemeter badge.
-
a new paradigm in Personal Dosimetry using lif mg cu p
Radiation Protection Dosimetry, 2002Co-Authors: J R Cassata, M Moscovitch, J E Rotunda, K J VelbeckAbstract:The United States Navy has been monitoring personnel for occupational exposure to ionising radiation since 1947. Film was exclusively used until 1973 when thermoluminescence dosemeters were introduced and used to the present time. In 1994, a joint research project between the Naval Dosimetry Center, Georgetown University, and Saint Gobain Crystals and Detectors (formerly Bicron RMP formerly Harshaw TLD) began to develop a state of the art thermoluminescent Dosimetry system. The study was conducted from a large-scale Dosimetry processor point of view with emphasis on a systems approach. Significant improvements were achieved by replacing the LiF:Mg,Ti with LiF:Mg,Cu,P TL elements due to the significant sensitivity increase, linearity, and negligible hiding. Dosemeter filters were optimised for gamma and X ray energy discrimination using Monte Carlo modelling (MCNP) resulting in significant improvement in accuracy and precision. Further improvements were achieved through the use of neural-network based dose calculation algorithms. Both back propagation and functional link methods were implemented and the data compared with essentially the same results. Several operational aspects of the system are discussed, including (1) background subtraction using control dosemeters, (2) selection criteria for control dosemeters, (3) optimisation of the TLD readers, (4) calibration methodology, and (5) the optimisation of the heating profile.
Gyopar Horvath - One of the best experts on this subject based on the ideXlab platform.
-
exposure to solar uv radiation in outdoor construction workers using Personal Dosimetry
Environmental Research, 2020Co-Authors: Horatiu Remus Moldovan, Marc Wittlich, Swen Malte John, Richard Brans, Georgesorin Tiplica, Carmen Salavastru, Septimiu Voidazan, Radu Corneliu Duca, Ecaterina Fugulyan, Gyopar HorvathAbstract:Occupational exposure to solar UV radiation (SUVR), a Group 1 carcinogen according to the IARC classification is at high exposure levels in outdoor construction workers, usually above the suggested occupational limits. Furthermore, there are no regulations related to this exposure in the EU, except for the artificial UVR. Also, the use of the ICNIRP exposure guideline in an outdoor setting poses problems of adequate dose assessment. In this context, the main purpose of the study was to perform direct measurements of the SUVR dose in outdoor workers from the construction sector, using individual SUVR dosimeters (GENESIS-UV system), for a period of 7 months, from April to October, in a prospective, observational study in two groups of 10 outdoor workers in Romania, located at two different geographic sites. In term of cumulative standard erythema dose (SED), our study population of outdoor construction workers received high levels of solar UV radiation, ranging from 165 SED to 453 SED during 7 months of occupational activity, from April to October. Our results, ranging from 1.28 SED (standard erythema dose) per day to 6.4 SED per day pose an alarm signal to the national and European health authorities to take preventive action for outdoor workers, as the ICNIRP suggested limit value of 1.33 SED for mean daily erythemal UV exposure is vastly exceeded. We suggest that Personal Dosimetry for SUVR, from simple devices to complex systems as GENESIS-UV should be regularly and mandatory used in outdoor workers, similarly to the usage of Personal Dosimetry in occupational exposure to ionizing radiations, which could be included in European and national legislation to reduce both, the level of exposure and the detrimental effects on outdoor workers' health.