MENU

Click here to

×

Are you sure ?

Yes, do it No, cancel

Generating Fetal Doses for Pregnant Survivors of the Atomic Bombs in Hiroshima and Nagasaki

C Paulbeck*, W Bolch , university Florida, Gainesville, FL

Presentations

(Sunday, 7/29/2018) 3:00 PM - 6:00 PM

Room: Exhibit Hall

Purpose: To generate fetal organ doses for the pregnant survivors of the atomic bombs of Hiroshima and Nagasaki. These will be generated using modern computational models not available the last time dosimetry data was published on the atomic bomb survivors in 2002. Past reports used dose to the uterine wall as a surrogate for fetal dose. While it is a good approximation for early gestation, it fails to accurately capture late term doses, and fails to account for the shielding provided by the amniotic fluid. Further more, previous studies utilized stylized phantoms consisting of geometric shapes to represent humans in their Monte Carlo simulations. This study improves upon that by using hybrid phantoms that are more anatomically accurate.

Methods: Advanced hybrid 3D modeling techniques will be used to generate a series of reference pregnant female phantoms to represent the Japanese population in 1945. Monte Carlo methods will then be used to transport atomic bomb spectra through various shielding scenarios and incident on the phantoms to generate organ doses.

Results: Individual fetal organ doses will be generated for survivors of both bombs in a number of different shielded environments. These results will be more accurate due to more anatomically realistic 3D modeling and more powerful Monte Carlo computing.

Conclusion: The survivors of the atomic bombs are the most valuable cohort epidemiologists have to study the effects of radiation on humans. The increased fetal organ dose accuracy will allow them to better understand cancer incidence in early childhood and beyond.

Funding Support, Disclosures, and Conflict of Interest: Grant is funded by the Radiation Effects Research Foundation (RERF).

Keywords

Radiation Effects, Radiobiology, Monte Carlo

Taxonomy

TH- Radiobiology(RBio)/Biology(Bio): RBio- general

Contact Email