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dc.contributor.advisorWang, Chris
dc.contributor.authorLee, Brian H.
dc.date.accessioned2018-08-20T15:32:01Z
dc.date.available2018-08-20T15:32:01Z
dc.date.created2017-08
dc.date.issued2017-07-31
dc.date.submittedAugust 2017
dc.identifier.urihttp://hdl.handle.net/1853/60176
dc.description.abstractThis dissertation describes a Monte Carlo-based simulation study that integrates charged particle track structures and cell nucleus DNA organizations to quantify DNA and chromatin damage as well as the cell survival rate for various radiation types. Geant4-DNA, a detailed Monte Carlo code for particle track simulation at the nanometer scale, was employed for the production of charged particle tracks. The cell nucleus DNA organizations modeled in the study include chromatin domains, chromatin fibers, and chromosome territories. The positioning and orientation of these organizations in a cell nucleus are based on the Monte Carlo method. This study also includes a stochastic method for simulating the production of DNA double strand breaks (DSBs) and DSB misrejoining events, which can be used to generate chromosome aberrations and cell survival curves. In the presented work we are able to characterize differences in the spatial distribution pattern of DSBs produced by low-LET electrons, ultrasoft X-rays, protons, helium ions, and carbon ions. A core element of this Monte Carlo study is that subtle nuances of charged particle interactions and DNA damage are retained. The results include the unique spatial distributions of nanometer scale clusters of energy deposition events as well as the spatial distribution of DSBs for the different radiation types. The spatial distribution of DSBs, in turn, allows the estimate of the number of potential DSB misrejoining events, Chromosome aberrations, and cell survival probability. The stochastic nature of the simulation method allows the cell survival fraction to be estimated on the cell-by-cell basis, reflecting the true nature of radiation-induced cell killing effect. In the presented work we also show that the new radiobiological model may find applications in radiotherapy and radiation protection. In radiotherapy, it can be used to estimate the RBE values for radiotherapy that employs radiation types other than the conventional X-rays (e.g. protons, neutrons, and carbon ions). In radiation protection, it can be used to estimate the radiation weighting factors for the various radiation types.
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherGeorgia Institute of Technology
dc.subjectRadiobiology
dc.subjectNanodosimetry
dc.subjectMonte Carlo
dc.subjectCell nucleus
dc.subjectDNA damage
dc.subjectIonizing radiation
dc.subjectRBE
dc.subjectMedical physics
dc.subjectRadiotherapy
dc.subjectGeant4
dc.subjectBiophysical modeling
dc.titleA Monte Carlo-based simulation study for assessing radiation-induced DNA damage and cell survival
dc.typeDissertation
dc.description.degreePh.D.
dc.contributor.departmentMechanical Engineering
thesis.degree.levelDoctoral
dc.contributor.committeeMemberElder, Eric
dc.contributor.committeeMemberHertel, Nolan
dc.contributor.committeeMemberFan, Yuhong
dc.contributor.committeeMemberDynan, William
dc.date.updated2018-08-20T15:32:01Z


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