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Tissue equivalent conversion of silicon-based microdosemeters in hadron therapy
Songke Yu1, Hui Shi2, Xiaojuan Zhong3
1School of Electronic Engineering, Chengdu Technological University, Chengdu, 611730, China.
Radiation Protection Dosimetry
|April 26, 2024
Summary
This study presents a method for converting microdosimetry spectra from silicon to tissue using Fourier transformation. While accurate for some applications, silicon’s poor tissue equivalence limits precision, requiring further corrections for practical use.
Area of Science:
- Medical Physics
- Radiation Dosimetry
- Materials Science
Background:
- Silicon microdosimeters offer advantages like small sensitive volumes and low power consumption.
- Accurate tissue dose assessment requires converting silicon's energy response to tissue-equivalent response.
- Existing spectral conversion methods need refinement for silicon-based microdosimetry.
Purpose of the Study:
- To develop and validate a method for converting microdosimetric energy deposition spectra from silicon to tissue.
- To assess the accuracy and limitations of the proposed spectral conversion technique.
- To identify areas for improvement in silicon microdosimetry for radiation applications.
Main Methods:
- Scaled Fourier transformation and geometric scaling factor for spectral conversion.
- Validation using previously reported spectral conversion data from diamond to tissue.
- Analysis of discrepancies between converted and actual spectra in different regions of the Bragg curve.
Main Results:
- The scaled Fourier transformation method demonstrated proper accuracy in converting silicon microdosimetry spectra to tissue-equivalent spectra.
- Inconsistencies were observed, primarily due to silicon's inherent poor tissue equivalence.
- Discrepancies were attributed to the plateau region (tissue equivalence) and proximal region (spectral shape differences).
Conclusions:
- The developed method is applicable for tissue-equivalent conversion of silicon microdosimetry data.
- Silicon's limited tissue equivalence is a key factor affecting the accuracy of the conversion.
- Further corrections for spectral shape differences are necessary to enhance the method's practicality.

