A Study of Potential Accelerator Production of Radioisotopes for Both Diagnostics and Therapy

Naomi Ratcliffe, Thomas Edgecock

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

There is currently much interest in accelerator based replacements for radioisotope production. The primary focus is the use of compact low energy (<30MeV) proton accelerators that can provide local on-site production of short lived isotopes and as a replacement for the current reactor production of important isotopes such as Ga-68. As part of a study into the viability of this production method this work undertakes a benchmarking study the GEANT4 code using the new low energy data-driven physics list QGSP_{B}IC_{A}llHP for the production of significant diagnostic and therapy isotopes such as F-18 and Ga-68. results from these simulations will be compared to experimental cross-sections and other codes to determine reliability before being used to further asses the activity producible using these reactions.
Original languageEnglish
Title of host publicationProceedings of 8th International Particle Accelerator Conference (IPAC'17), Copenhagen, Denmark, 14-19 May 2017
PublisherJoint Accelerator Conferences Website (JACoW)
Number of pages3
ISBN (Electronic)9783954501823
DOIs
Publication statusPublished - May 2017
Event8th International Particle Accelerator Conference - Copenhagen, Denmark
Duration: 14 May 201719 May 2017
Conference number: 8
https://ipac17.org/ (Link to Conference Website )

Conference

Conference8th International Particle Accelerator Conference
Abbreviated titleIPAC'17
CountryDenmark
CityCopenhagen
Period14/05/1719/05/17
Internet address

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  • Cite this

    Ratcliffe, N., & Edgecock, T. (2017). A Study of Potential Accelerator Production of Radioisotopes for Both Diagnostics and Therapy. In Proceedings of 8th International Particle Accelerator Conference (IPAC'17), Copenhagen, Denmark, 14-19 May 2017 Joint Accelerator Conferences Website (JACoW). https://doi.org/10.18429/JACoW-IPAC2017-THPVA132