An analytical model to calculate absorbed fractions for internal dosimetry with alpha, beta and gamma emitters

Authors

  • Ernesto Amato Università degli Studi di Messina
  • Antonio Italiano Istituto Nazionale di Fisica Nucleare - Gruppo Collegato di Messina
  • Sergio Baldari Università degli Studi di Messina

DOI:

https://doi.org/10.1478/AAPP.921A1

Keywords:

Internal dosimetry, absorbed fraction, ellipsoid, radionuclide

Abstract

We developed a general model for the calculation of absorbed fractions in ellipsoidal volumes of soft tissue uniformly filled with alpha, beta and gamma emitting radionuclides. The approach exploited Monte Carlo simulations with the Geant4 code to determine absorbed fractions in ellipsoids characterized by a wide range of dimensions and ellipticities, for monoenergetic emissions of each radiation type. The so-obtained absorbed fractions were put in an analytical relationship with the 'generalized radius', calculated as 3V/S, where V is the ellipsoid volume and S its surface. Radiation-specific parametric functions were obtained in order to calculate the absorbed fraction of a given radiation in a generic ellipsoidal volume. The dose from a generic radionuclide can be calculated through a process of summation and integration over the whole radionuclide emission spectrum, profitably implemented in an electronic spreadsheet. We compared the results of our analytical calculation approach with those obtained from the OLINDA/EXM computer software, finding a good agreement in a wide range of sphere radii, for the high-energy pure beta emitter 90Y, the commonly employed beta-gamma emitter 131I, and the pure alpha emitter 213Po. The generality of our approach makes it useful an easy to implement in clinical dosimetry calculations as well as in radiation safety estimations when doses from internal radionuclide uptake are to be taken into account.

Author Biographies

  • Ernesto Amato, Università degli Studi di Messina
    Department of Biomedical Sciences and of Morphologic and Functional Imaging, Section of Radiological Sciences
  • Sergio Baldari, Università degli Studi di Messina
    Department of Biomedical Sciences and of Morphologic and Functional Imaging, Section of Radiological Sciences

Downloads

Published

2014-03-11

Issue

Section

Articles