Session

Student presentations - Session 3

7 Sept 2022, 16:00

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  1. Nguyễn Tùng Lâm .
    07/09/2022, 16:00

    Purpose:
    Currently, at the Department of Radiotherapy and Radiosurgery, Cancer Institute, 108 Military Central Hospital, head and neck (H&N) cancer patients are treated with the Volumetric Modulated Arc Therapy (VMAT) plan by using photon beam 6 MV flattening filter FF on TrueBeam STx and Eclipse v13.6 software. The study aims to compare and evaluate the dose distribution, especially skin...

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  2. Nguyễn Trần Đức .
    07/09/2022, 16:15

    The intermediate dose spill for a stereotactic radiosurgery (SRS) plan can be quantified with the metric R50%, defined as the 50% isodose cloud volume (VIDC50%) divided by the volume of the planning target volume (PTV). By coupling sound physical principles with the basic definition of R50%, we derive an analytical expression for R50% for a spherical PTV. Our analytical expression depends on...

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  3. Trần Thùy Dương .
    07/09/2022, 16:30

    In the field of medical physics, determining the dosage for organs is a very complex problem because it is impossible to directly measure the dosage inside a living person's body. Therefore, in order to estimate the dosage, one usually has to use phantoms. For dosage determination and safety assessment, Monte Carlo simulation programs and today's phantoms have become indispensable tools. There...

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  4. Trần Thị Thanh Vinh .
    07/09/2022, 16:45

    In clinical linear accelerators, high-energy beams may produce secondary neutrons which leads to an unwanted dose distribution surrounding. A small neutron dose is known for high biological effectiveness with regard to cancer induction. We study a Siemens Primus radiotherapy linear accelerator operated at the energy of 15MV by GATE/GEANT4 simulation toolkit. In our work, we discuss the...

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  5. Phùng Thị Xuân .
    07/09/2022, 17:00

    Danang Unit, Research and Development Center for Radiation Technology,
    Vietnam Atomic Energy Institute. The content of the internship is as follows:
    1. Internship topic: Research on application of machine learning (ML) in radioisotope identification in the environment based on gamma spectrum measured by NaI scintillation detector
    2. Job Description:
    - Developing and testing algorithms,...

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