Issue |
EPJ Web of Conf.
Volume 290, 2023
European Nuclear Physics Conference (EuNPC 2022)
|
|
---|---|---|
Article Number | 08004 | |
Number of page(s) | 4 | |
Section | P8 Nuclear Physics Applications | |
DOI | https://doi.org/10.1051/epjconf/202329008004 | |
Published online | 08 December 2023 |
https://doi.org/10.1051/epjconf/202329008004
Evaluation of water equivalent thicknesses using the IEM-CSIC scanner prototype
1 Instituto de Estructura de la Materia, CSIC, Serrano 113-bis, E-28006, Madrid, Spain
2 Grupo de Física Nuclear (GFN) and IPARCOS, Universidad Complutense de Madrid (UCM), E-28040, Madrid, Spain
3 Instituto de Física Corpuscular, CSIC-Universidad de Valencia, E-46980, Paterna, Valencia, Spain
* e-mail: amanda.nerio@csic.es
Published online: 8 December 2023
Proton imaging has been proposed as an alternative low-dose imaging technique for acquiring relative stopping power (RSP) maps and for patient positioning. In proton therapy and hadrontherapy, the water equivalent thickness (WET) of a material represents its radiological thickness, however, its calculation requires computationally intensive methods or approximate solutions. At IEM-CSIC, we have developed a scanner prototype for imaging with protons composed of two double-sided silicon strip detectors (DSSSD) and fast scintillators with high energy resolution, detectors that are commonly used in Experimental Nuclear Physics. Two custom-made samples of aluminum, air, and polymethyl methacrylate (PMMA) were imaged and their proton radiography images (pRads) are presented in terms of WET. Pattern reproduction, spatial resolution, and sensitivity to di↵erent materials were studied. We present pRads of our samples obtained using a rather traditional approach to compute WET values. All three materials of the studied samples, aluminum, PMMA, and air, were well distinguished; the resulting WET values were in good agreement between samples.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.