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All radioactive nuclides emit high-energy particles or electromagnetic waves. When this radiation encounters living cells, it can cause heating, break chemical bonds, or ionize molecules. The most serious biological damage results when these radioactive emissions fragment or ionize molecules. For example, α and β particles emitted from nuclear decay reactions possess much higher energies than ordinary chemical bond energies. When these particles strike and penetrate matter, they...
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Updated: Sep 3, 2025

Irradiator Commissioning and Dosimetry for Assessment of LQ α and β Parameters, Radiation Dosing Schema, and in vivo Dose Deposition
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A comprehensive method for calculating total body irradiation.

Nehad M Farag1, Mohamed Saad Zaghloul2, Reem H El-Gebaly3

  • 1Biophysics Department, Faculty of Science, Cairo University, Egypt; Radiation Oncology Department, Children's Cancer Hospital, Egypt.

Journal of Medical Imaging and Radiation Sciences
|July 30, 2022
PubMed
Summary
This summary is machine-generated.

A new software, Total Body Irradiation Calculation in Radiotherapy (TBICR), accurately calculates patient radiation doses and lung shield thickness for radiotherapy. This tool enhances quality assurance for Total Body Irradiation (TBI) procedures.

Keywords:
DosimetryHuman phantomRadiotherapySoftwareTotal body irradiation

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Area of Science:

  • Medical Physics
  • Radiotherapy
  • Computational Biology

Background:

  • Accurate dose calculation is crucial for effective Total Body Irradiation (TBI) in radiotherapy.
  • Quality assurance is essential to verify radiation doses delivered to patients during TBI procedures.

Purpose of the Study:

  • To develop a software tool for calculating patient radiation doses during TBI.
  • To enable the calculation of lung shield thickness for TBI.
  • To provide a method for quality assurance of TBI procedures using phantom measurements.

Main Methods:

  • Developed the Total Body Irradiation Calculation in Radiotherapy (TBICR) software using Visual Basic, MATLAB, and Python.
  • Implemented patient translation and beam zone methods for dose calculations.
  • Integrated a machine learning model for dose prediction and CT DICOM file analysis.

Main Results:

  • The TBICR software accurately reproduced manual calculations.
  • The software demonstrated precision in calculating radiation doses and determining lung shield thickness.
  • Phantom measurements validated the absorbed dose calculations performed by TBICR.

Conclusions:

  • The developed TBICR software facilitates precise calculation of radiation doses for TBI.
  • The software aids in determining lung shield requirements and optimizing couch movement parameters.
  • TBICR offers user-friendly features, including data storage and printing, enhancing its utility in radiotherapy.