Results 21 to 30 of about 423 (56)
, 2020 The ongoing respiratory COVID-19 pandemic has heavily impacted the social and private lives of the majority of the global population. This infection is primarily transmitted via virus-laden fluid particles (i.e., droplets and aerosols) that are formed in
Sakharov, Alexander S. +1 more
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Calculation of time resolution of the J-PET tomograph using the Kernel Density Estimation
, 2017 In this paper we estimate the time resolution of the J-PET scanner built from plastic scintillators. We incorporate the method of signal processing using the Tikhonov regularization framework and the Kernel Density Estimation method.
Alfs, D. +33 more
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On Existence of $L^1$-solutions for Coupled Boltzmann Transport Equation and Radiation Therapy Treatment Optimization [PDF]
, 2017 The paper considers a linear system of Boltzmann transport equations modelling the evolution of three species of particles, photons, electrons and positrons. The system is coupled because of the collision term (an integral operator).
Kokkonen, Petri, Tervo, Jouko
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MIDSX: A Monte Carlo Interaction and Dosimetry Simulation of X-rays
, 2023 Computed Tomography (CT) imaging, while essential for diagnostics, exposes patients to ionizing radiation. To accurately quantify radiation dosage, this study introduces MIDSX, a specialized open-source Monte Carlo (MC) photon transport code system for ...
Meneghini, John
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Radiation design in computed tomography via convex optimization
, 2023 Proper X-ray radiation design (via dynamic fluence field modulation, FFM) allows to reduce effective radiation dose in computed tomography without compromising image quality.
Juditsky, Anatoli +2 more
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Material decomposition for dual-energy propagation-based phase-contrast CT
, 2023 Material decomposition refers to using the energy dependence of material physical properties to differentiate materials in a sample, which is a very important application in computed tomography(CT). In propagation-based X-ray phase-contrast CT, the phase
Liao, Suyu +3 more
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, 2023 Hybrid semiconductor pixelated detectors from the Timepix family are advanced detectors for online particle tracking, offering energy measurement and precise time stamping capabilities for particles of various types and energies. This inherent capability
Carlos, Granja +6 more
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On commentary: 'The responsibility of the Japanese media, the Fukushima accident and the use of personal data' by T. Sawano et al. [PDF]
, 2021 Hamaoka Y. +5 more
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Bias-Reduced Neural Networks for Parameter Estimation in Quantitative MRI
Purpose: To develop neural network (NN)-based quantitative MRI parameter estimators with minimal bias and a variance close to the Cram\'er-Rao bound. Theory and Methods: We generalize the mean squared error loss to control the bias and variance of the ...
Assländer, Jakob +2 more
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Natural starch-based blood-mimicking fluid (BMF) has been used as an alternative to commercially available BMFs for in-vitro Doppler investigations in low-resource settings.
Kumar, V. Arun +3 more
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