Utilization of artificial intelligence approach for prediction of DLP values for abdominal CT scans: A high accuracy estimation for risk assessment

Purpose: This study aimed to evaluate Artificial Neural Network (ANN) modeling to estimate the significant dose length product (DLP) value during the abdominal CT examinations for quality assurance in a retrospective, cross-sectional study. Methods: The structure of the ANN model was designed considering various input parameters, namely patient weight, patient size, body mass index, mean CTDI volume, scanning length, kVp, mAs, exposure time per rotation, and pitch factor. The aforementioned examination details of 551 abdominal CT scans were used as retrospective data. Different types of learning algorithms such as Levenberg-Marquardt, Bayesian and Scaled-Conjugate Gradient were checked in terms of the accuracy of the training data. Results: The R-value representing the correlation coefficient for the real system and system output is given as 0.925, 0.785, and 0.854 for the Levenberg-Marquardt, Bayesian, and Scaled-Conjugate Gradient algorithms, respectively. The findings showed that the Levenberg-Marquardt algorithm comprehensively detects DLP values for abdominal CT examinations. It can be a helpful approach to simplify CT quality assurance. Conclusion: It can be concluded that outcomes of this novel artificial intelligence method can be used for high accuracy DLP estimations before the abdominal CT examinations, where the radiation-related risk factors are high or risk evaluation of multiple CT scans is needed for patients in terms of ALARA. Likewise, it can be concluded that artificial learning methods are powerful tools and can be used for different types of radiation-related risk assessments for quality assurance in diagnostic radiology. Copyright © 2022 Tekin, Almisned, Erguzel, Abuzaid, Elshami, Ene, Issa and Zakaly.The article processing charge was funded by “Dunarea de Jos” University of Galati, Romania

Utilization of artificial intelligence approach for prediction of DLP values for abdominal CT scans: A high accuracy estimation for risk assessment

PurposeThis study aimed to evaluate Artificial Neural Network (ANN) modeling to estimate the significant dose length product (DLP) value during the abdominal CT examinations for quality assurance in a retrospective, cross-sectional study.MethodsThe structure of the ANN model was designed considering various input parameters, namely patient weight, patient size, body mass index, mean CTDI volume, scanning length, kVp, mAs, exposure time per rotation, and pitch factor. The aforementioned examination details of 551 abdominal CT scans were used as retrospective data. Different types of learning algorithms such as Levenberg-Marquardt, Bayesian and Scaled-Conjugate Gradient were checked in terms of the accuracy of the training data.ResultsThe R-value representing the correlation coefficient for the real system and system output is given as 0.925, 0.785, and 0.854 for the Levenberg-Marquardt, Bayesian, and Scaled-Conjugate Gradient algorithms, respectively. The findings showed that the Levenberg-Marquardt algorithm comprehensively detects DLP values for abdominal CT examinations. It can be a helpful approach to simplify CT quality assurance.ConclusionIt can be concluded that outcomes of this novel artificial intelligence method can be used for high accuracy DLP estimations before the abdominal CT examinations, where the radiation-related risk factors are high or risk evaluation of multiple CT scans is needed for patients in terms of ALARA. Likewise, it can be concluded that artificial learning methods are powerful tools and can be used for different types of radiation-related risk assessments for quality assurance in diagnostic radiology

A Prediction Study on Bremsstrahlung Photon Flux of Tungsten as a Radiological Anode Material by using MCNPX and ANN Modeling

Medical imaging is a technique that is mostly known as visual representations of the parts of body for clinical scans and analysis. In imaging process for medical purpose there take part radiologists, radiographers/radiology technicians, medical physicists, sonographers, nurses, and engineers. As an apart issue from the medical imaging devices, we can treat X-rays using devices such as radiography, computed tomography, fluoroscopy, dental cone-beam computed tomography, and mammography. All these devices are to perform X-ray using during medical imaging process. An X-ray beam is generated in a vacuum tube that is principally composed of an anode and a cathode material to produce X-ray beams, whose name is X-ray tube. The anode represents the component in which the X-ray beam produced that made from a piece of metal. For decades, tungsten (W) has been used as an anode material of various X-ray tubes. Tungsten has high atomic number and high melting point of 3370°C with low rate of volatilization. In this study, we performed Monte Carlo simulation for flux calculations of W target by using MCNP-X general purpose code and considered result as a data set for artificial neural network. It can be concluded that the results agreed well between Monte Carlo simulation and artificial neural network prediction

The effective contribution of PbO on nuclear shielding properties of xPbO-(100-x)P2O5 glass system: a broad range investigation

The radiation shielding properties for glass system with the composition of xPbO-(100 - x)P2O5 (5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60 mol%) were studied. For that purpose, 3 x 3 inch NaI(Tl) scintillation detector was designed to detect the photons using simulation code of MCNPX program. Consequently, the mass attenuation coefficients (mu/rho) were calculated. The predestined (mu/rho) values using MCNPX code for twelve glass samples were checked together with the XMuDat and XCOM software outcomes. The half value layer (HVL), proton mass stopping power (MSP), exposure buildup factor (EBF) and proton projected range were estimated in a broad energy zone of 0.015-15 MeV. In addition, the neutron radiation shielding parameters i.e. mass removal cross section for neutron ( n-ary sumation (R)), Coherent neutron scattering length (b(co)), incoherent neutron scattering length (b(inc)), coherent neutron scattering cross section (sigma(co)), incoherent neutron scattering cross section (sigma(inc)), total neutron scattering cross section (sigma(tot)) and absorption neutron scattering cross section (sigma(abs)) of glasses were computed. The addition of PbO has an impact on the radiation protection properties of phosphate glass systems improve the radiation shielding properties of phosphate glass samples, where (mu/rho), n-ary sumation (R) and effective atomic number (Z(eff)) values increase when the chemical composition of lead oxide increase while HVL, EBF MSP and projected range values decrease. That underlines our research in that way that it appears that the addition of lead oxide has an impact on the radiation protection properties of phosphate glass systems

(59.5-x) P2O5-30Na(2)O-10Al(2)O(3)-0.5CoO-xNd(2)O(3)glassy system: an experimental investigation on structural and gamma-ray shielding properties

In this study, five different glasses encoded ND1, ND2, ND3, ND4 and ND5 based on (59.5-x) P2O5-30Na(2)O-10Al(2)O(3)-0.5CoO-xNd(2)O(3)(x = 1, 2, 3, 4 and 5 mol%) glass system were fabricated. Using two gamma- ray energies emitted from point sources, 356 keV (Ba-133) and 662 keV (Cs-137), gamma-ray attenuation coefficients were measured as a function of the Nd(2)O(3)concentration. The theoretical values of the mass attenuation coefficient were calculated using the XCOM program at 0.015-15-MeV photon energies. As it is underlined in the results section, the mass attenuation coefficient increases as the Nd(2)O(3)concentration increases. X-ray diffraction (XRD) was characterized for fabricated glasses. Moreover, different shielding parameters such as half-value layer (HVL), mean free path (MFP), effective atomic numbers (Z(eff)), basic gamma-ray attenuation properties such as exposure buildup factors (EBF) and energy absorption buildup factors (EABF) at different penetration depths were calculated. With increasing Nd(2)O(3)additive in glass samples, half-value layer (HVL), average free path (MFP), exposure and energy absorption buildup factor (EBF and EABF) values decrease. On the other hand,Z(eff)values increase with increasing Nd(2)O(3)additive in glass samples at the photon energy 0.015-15 MeV. The results highlighted that ND5 sample with highest value of Nd2O3(5 mol%) showed excellent nuclear radiation shielding properties