

The objective of this work was to assess absorbed doses in organs and tissues of a rabbit, following computed tomography (CT) examinations, using a dedicated 3D voxel model. Absorbed doses in relevant organs were calculated using the MCNP5 Monte Carlo software. Calculations were perfomed for two standard CT protocols, using tube voltages of 110 kVp and 130 kVp. Absorbed doses were calculated in 11 organs and tissues, i.e., skin, bones, brain, muscles, heart, lungs, liver, spleen, kidney, testicles, and fat tissue. The doses ranged from 15.3 to 28.3 mGy, and from 40.2 to 74.3 mGy, in the two investigated protocols. The organs that received the highest dose were bones and kidneys. In contrast, brain and spleen were organs that received the smallest doses. Doses in organs which are stretched along the body did not change significantly with distance. On the other hand, doses in organs which are localized in the body showed maximums and minimums. Using the voxel model, it is possible to calculate the dose distribution in the rabbit’s body after CT scans, and study the potential biological effects of CT doses in certain organs. The voxel model presented in this work can be used to calculated doses in all radiation experiments in which rabbits are used as experimental animals. © 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
| Engineering controlled terms: | 3D modelingBiological organsHistologyTissue |
|---|---|
| Engineering uncontrolled terms | Absorbed doseBiological effectsDifferent protocolsDose distributionsExperimental animalsRadiation experimentTube voltagesVoxel models |
| Engineering main heading: | Computerized tomography |
| EMTREE medical terms: | animalimaging phantomLeporidaelungMonte Carlo methodradiation doseradiometryx-ray computed tomography |
| MeSH: | AnimalsLungMonte Carlo MethodPhantoms, ImagingRabbitsRadiation DosageRadiometryTomography, X-Ray Computed |
| Funding sponsor | Funding number | Acronym |
|---|---|---|
| 451-03-9/2021-14/200122,451-03-9/2021-14/200143,200122 |
This work was supported by the Serbian Ministry of Education, Science and Technological Development (Agreement no. 451-03-9/2021-14/200122 and 451-03-9/2021-14/200143).
Nikezic, D.; State University of Novi Pazar, Novi Pazar, Serbia;
© Copyright 2021 Elsevier B.V., All rights reserved.