Tıbbi Görüntüleme Teknikleri Programı / Medical Imaging Techniques Program
Güncel Gönderiler
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Monte Carlo simulation analysis of radiation attenuation properties induced by arsenic accumulation in femur and tibia bones of rats exposed to sodium arsenite diet
(Radiation Physics and Chemistry, 2024)Purpose The study aims to investigate the effect of sodium arsenite (NaAsO2) on radiation permeability in biological tissues of rats, challenging existing literature claims about NaAsO2's influence on the density of bones. ... -
A pilot study of diabetes effects on radiation attenuation characteristics of tibia and femur of rats
(Applied Radiation and Isotopes, 2024) -
Detailed analysis of gamma-shielding characteristics of ternary composites using experimental, theoretical and Monte Carlo simulation methods
(MDPI, 2024)Ionizing radiation is vital in various fields but poses health risks, necessitating effective shielding. This study investigated the photon-shielding properties of polyester-based ternary com- posites with barite (BaSO4) ... -
Investigation of 209Bi (α,2n)211At reaction route for the production of α-emitter 211At
(Springer, 2024)In this research, the calculations have been done for α-emitters of 211At, which is a promising isotope in cyclotrons for radiotherapy. The scope of the study is to investigate the production parameters of 211At, which can ... -
Giant dipole resonance parameters optimization and photo-neutron cross-section calculations of several spherical and deformed nuclei
(Applied Radiation and Isotopes, 2024)Understanding the interaction between photons and matter is crucial for exploring essential questions in nuclear physics. The Giant Dipole Resonance (GDR) is the prevailing mechanism in photo-absorption cross-sections up ... -
Monte Carlo simulation analysis of radiation attenuation properties induced by arsenic accumulation in femur and tibia bones of rats exposed to sodium arsenite diet
(Radiation Physics and Chemistry, 2024)Purpose: The study aims to investigate the effect of sodium arsenite (NaAsO2) 2 ) on radiation permeability in biological tissues of rats, challenging existing literature claims about NaAsO2's 2 ' s influence on the density ... -
Investigation of gamma ray shielding characteristics of binary composites containing polyester resin and lead oxide
(MDPI, 2024)Ionizing radiation plays an essential role across various fields but also poses significant health risks, requiring effective shielding solutions. This study focuses on the photon shielding properties of PbO-reinforced ... -
Estimations for (n,a) reaction cross sections at around 14.5MeV using Levenberg-Marquardt algorithm-based artificial neural network
(Elsevier, 2023)Prediction of neutron-induced reaction cross-sections at around the 14.5 MeV neutron energy is crucial to calculate nuclear transmutation rates, nuclear heating, and radiation damage from gas formation in fusion reactor ... -
Assessment of neutron and gamma-ray shielding characteristics in ternary composites: experimental analysis and Monte Carlo simulations
(Elsevier, 2024-06)The research aims to exploring the gamma-ray shielding capacities of polyacrylonitrile/chrome-filled polymer composites through a combination of experimental, theoretical and simulation methods. Additionally, employing ... -
Mass attenuation coefficient, stopping power, and penetrating distance calculations via Monte Carlo simulations for cell membranes
(Elsevier, 2023)The Monte Carlo (MC) method is a computer simulation that is widely used in different disciplines including physics, biology, biophysics, medical imaging, biomedical engineering, etc. In addition, MC method is often ... -
209Bi izotopunun (p,xn), (p,xp), (p,xd) ve (p,xt) reaksiyonlarının teorik nükleer modeller ile incelenmesi
(2023)Nükleer fizik alanındaki gelişmeler; arkeoloji, jeoloji, mühendislik, astrofizik, kozmoloji, kimya, biyoloji, tıp gibi bilim dallarını da etkilemektedir. Nükleer reaksiyon mekanizmalarını anlamak, reaksiyon modelleri ... -
Neural network predictions of (α, n) reaction cross sections at 18.5±3 MeV using the Levenberg-Marquardt algorithm
(Elsevier, 2024)In recent developments, artificial neural networks (ANNs) have demonstrated their capability to predict reaction cross-sections based on experimental data. Specifically, for predicting (a,n) reaction cross-sections, we ... -
Influence of Nd2O3 on radiation shielding and elastic properties of TeO2–MgO–Na2O glasses: a simulation study by PHITS and MCNP
(2023)This study investigates the elastic properties and the photon and neutron shielding properties of TeO2–MgO–Na2O–Nd2O3 glasses, as well as the mass stopping power and projected range of alpha and proton charged particles ... -
Gamma, charged particle and neutron radiation shielding capacities of ternary composites having polyester/barite/tungsten boride
(Radiation Physics and Chemistry, 2023)The presented work investigates the photon, charged particle and neutron radiation shielding performances of polyester-based composites filled with barite and/or tungsten boride by using experimental, theoretical, and Monte ... -
Production cross-section calculations of some strontium isotopes via (p,x) reactions on natural abundance rubidium using different level density models
(Radiochimica Acta, 2023)The cross-section, a measure of the probability that a nuclear reaction will occur, needs to be calculated properly. The level density model used in the computations is one of several factors which may affect the theoretical ... -
Calculation of double differential neutron cross-sections of 56Fe and 90Zr isotopes
(Applied Radiation and Isotopes, 2023)This study is concerned with the calculations of double differential neutron cross-sections of the structural fusion materials of 56Fe and 90Zr isotopes that are bombarded with protons. Calculations were performed using ... -
Estimations for the production cross sections of medical 61, 64, 67Cu radioisotopes by using bayesian regularized artificial neural networks in (p, α) reactions
(Arabian Journal of Science and Engineering, 2023)Copper (Cu), which is produced in cyclotrons or reactors, is a significant tracer in the human body. Bayesian regularized artificial neural networks (ANNs) algorithm, which is one of the ANN approaches, was used in analyzing ... -
A study on the cross-section data of 43,44m,46,47Sc isotopes via (d,x) reactions on natural abundance targets under the effects of deuteron optical models
(Applied Radiation and Isotopes, 2023)Many studies have investigated the influence of theoretical models and factors involved in the acquisition of cross-section data of a nuclear reaction. The implications of different models of various variables such as level ... -
Estimating currents from action potentials using single and multi-output neural network models
(Second International Congress on Biological and Health Sciences, 2022)Ion channels are water-filled pores formed by membrane proteins abundant in excitable cells' plasma membranes. Ion channels are responsible for converting signals into biological responses. They are primarily engaged in ... -
Estimations of (n,alpha) reaction cross sections using bayesian classsifier
(XV. International Conference on Nuclear Structure Properties, 2022)
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