Internal Dosimetry — Specific Absorbed Fractions (SAF)
MCMEG presents an open computational repository of Specific Absorbed Fractions (SAFs) generated through
Monte Carlo radiation transport simulations. Developed by master's and doctoral researchers at UFMG,
this initiative provides validated dosimetric data, organ S-values, and computational phantom simulation
results for radiation protection, medical physics, and theranostic applications.
Lançamento / Release Date: Julho de 2026 / July 2026
Instituição / Host Group: MCMEG — Departamento de Engenharia Nuclear, UFMG
Explore our interactive web tool to select anatomical models, source and target organs, particle types,
and energy ranges to inspect and download calculated SAFs.
Specific Absorbed Fractions (SAFs) are calculated directly from Monte Carlo simulations. Absorbed doses to target
organs and tissues are converted to SAFs by dividing by the initial particle energy (expressed in Joules) and by the
number of simulated primary particles.
To display SAFs in our interactive portal, select a computational model from the left panel, then choose a source
organ, target organ, and particle type (photons, electrons, etc.).
SAFs are organized within a relational database as a function of model parameters, source and target regions,
particle type, energy spectrum, and total simulated histories. Each source, target, and particle species is identified
with a unique ID linking to detailed anatomical model specifications (geometry, volume, and tissue mass). Every SAF dataset is
fully traceable with complete provenance metadata, including data provider, Monte Carlo code version (MCNP, PHITS, TOPAS), contributor contact, and publication date.
Open Science & OpenDose Acknowledgment
This project follows the open-science framework inspired by OpenDose.org.
We express our full credit and recognition to the OpenDose collaboration for developing the pioneer open-access initiative
in internal dosimetry.
As a complementary community resource, MCMEG has established this repository to make our extensive calculation results,
developed across numerous master's and doctoral research projects at UFMG, openly available to the international scientific community.