Internal dosimetry involves assessing the radiation dose to tissues and organs inside the body due to the intake of radioactive substances. These doses cannot be directly measured; they must be calculated using mathematical models. Existing models primarily focus on determining average values. My work extends these models to estimate the uncertainties associated with these averages, aiming to improve the management of radiological emergencies.
Alexandr Malusek
Associate Professor
I specialize in developing methods for quantitative tissue classification via spectral and mulit-energy computed tomography (CT) and (ii) internal dosimetry.
Researcher in medical physics
I specialize in developing methods for (i) quantitative tissue classification via spectral and multi-energy computed tomography (CT) and (ii) internal dosimentry.
Spectral and multi-energy CT offers more detailed tissue information than conventional CT. This enhanced information can be used to determine densities and mass fractions of elements within the tissues. However, due to the limitations of current technology, which cannot provide all the necessary data, approximate models must be created to fill the gaps. These developed methods and models aim to improve accuracy in radiation therapy.
Internal dosimetry involves assessing the radiation dose to tissues and organs inside the body due to the intake of radioactive substances. These doses cannot be directly measured; they must be calculated using mathematical models. Existing models primarily focus on determining average values. My work extends these models to estimate the uncertainties associated with these averages, aiming to improve the management of radiological emergencies.
Internal dosimetry involves assessing the radiation dose to tissues and organs inside the body due to the intake of radioactive substances. These doses cannot be directly measured; they must be calculated using mathematical models. Existing models primarily focus on determining average values. My work extends these models to estimate the uncertainties associated with these averages, aiming to improve the management of radiological emergencies.
Short information
CV
2008 PhD in Medical Physics
Field of Teaching
- TVFA02
- TBMT02