Remote sensing of high energy charged particle current (HEC) for megavoltage therapeutic electron beams.
| Autor: | Zygmanski P; Department of Radiation Oncology, Brigham and Women's Hospital/Dana Farber Cancer Institute/Harvard Medical School, 75 Francis St, Boston, MA 02115, United States of America., Rajapakse A; Department of Radiation Oncology, Brigham and Women's Hospital/Dana Farber Cancer Institute/Harvard Medical School, 75 Francis St, Boston, MA 02115, United States of America., Brivio D; Department of Radiation Oncology, Brigham and Women's Hospital/Dana Farber Cancer Institute/Harvard Medical School, 75 Francis St, Boston, MA 02115, United States of America. |
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| Jazyk: | angličtina |
| Zdroj: | Physics in medicine and biology [Phys Med Biol] 2024 Aug 21; Vol. 69 (17). Date of Electronic Publication: 2024 Aug 21. |
| DOI: | 10.1088/1361-6560/ad6e50 |
| Abstrakt: | Objective. We demonstrate detection of high energy particle current (HEC) for MeV therapeutic electron beams. Detection of HEC comprises of remote sensing or acquiring information about HEC inside radiation transport medium from a distance outside of the medium. Approach. HEC is self-propelled motion of charged particles through a radiation transport medium. Remote sensing of HEC is embodied in an experimental setup, which includes homogeneous and heterogeneous phantoms irradiated with 4-15 MeV electron beams and two large area parallel-plane electrodes extraneous to the phantoms providing two-parameter detection. We also introduce a new type of scanning method (depth-scan) for probing object properties along the beamline axis. Main Results. Deterministic radiation transport simulations and measurements agree, considering differences in simulation vs experimental geometry and experimental uncertainties. Significance. This method may be suitable for range detection of charged particle beams, or for probing of radiation opaque objects in non-destructive testing. (© 2024 Institute of Physics and Engineering in Medicine. All rights, including for text and data mining, AI training, and similar technologies, are reserved.) |
| Databáze: | MEDLINE |
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