STI Publications - View Publication Form #10706
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Publication Information
| Title | Calculation of electron and isotopes dose point kernels with fluka Monte Carlo code for dosimetry in nuclear medicine therapy | ||||
| Abstract | The calculation of patient-specific dose distribution can be achieved by Monte Carlo simulations or by analytical methods. In this study, fluka Monte Carlo code has been considered for use in nuclear medicine dosimetry. Up to now, fluka has mainly been dedicated to other fields, namely high energy physics, radiation protection, and hadrontherapy. When first employing a Monte Carlo code for nuclear medicine dosimetry, its results concerning electron transport at energies typical of nuclear medicine applications need to be verified. This is commonly achieved by means of calculation of a representative parameter and comparison with reference data. Dose point kernel (DPK), quantifying the energy deposition all around a point isotropic source, is often the one.Methods: fluka DPKs have been calculated in both water and compact bone for monoenergetic electrons (103 MeV) and for beta emitting isotopes commonly used for therapy (89Sr, 90Y, 131I, 153Sm, 177Lu, 186Re, and 188Re). Point isotropic | ||||
| Author(s) | F. Botta, M. Cremonesi, A. Di Dia, G. Pedroli, A. Mairani, Giuseppe Battistoni, Alberto Fasso, Ares Ferrari, Massimo Ferrario, G. Paganelli, M. Valente | ||||
| Publication Date | June 2011 | ||||
| Document Type | Journal Article | ||||
| Primary Institution | Thomas Jefferson National Accelerator Facility, Newport News | ||||
| Affiliation | ES&H Division / ES&H Division / ESH&Q Division | ||||
| Funding Source | |||||
| Proprietary? | No | ||||
| This publication conveys | Technical Science Results | ||||
| Document Numbers |
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| Associated with an experiment | No | ||||
| Associated with EIC | No | ||||
| Supported by Jefferson Lab LDRD Funding | No |
Journal Article
| Journal Name | Medical Physics |
| Refereed | Yes |
| Volume | 38 |
| Issue | |
| Page(s) | 3944 (11 pages) |
Attachments/Datasets/DOI Link
| Document(s) | (none) |
| DOI Link | |
| Dataset(s) | (none) |
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