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A Feasibility Study on Proton Range Monitoring Using 13 N Peak in Inhomogeneous Targets.

Authors :
Islam, Md. Rafiqul
Shahmohammadi Beni, Mehrdad
Inamura, Akihito
Şafakattı, Nursel
Miyake, Masayasu
Rahman, Mahabubur
Haque, Abul Kalam Fazlul
Ito, Shigeki
Gotoh, Shinichi
Yamaya, Taiga
Watabe, Hiroshi
Source :
Tomography: A Journal for Imaging Research; Oct2022, Vol. 8 Issue 5, p2313-2329, 17p
Publication Year :
2022

Abstract

Proton irradiations are highly sensitive to spatial variations, mainly due to their high linear energy transfer (LET) and densely ionizing nature. In realistic clinical applications, the targets of ionizing radiation are inhomogeneous in terms of geometry and chemical composition (i.e., organs in the human body). One of the main methods for proton range monitoring is to utilize the production of proton induced positron emitting radionuclides; these could be measured precisely with positron emission tomography (PET) systems. One main positron emitting radionuclide that could be used for proton range monitoring and verification was found to be <superscript>13</superscript>N that produces a peak close to the Bragg peak. In the present work, we have employed the Monte Carlo method and Spectral Analysis (SA) technique to investigate the feasibility of utilizing the <superscript>13</superscript>N peak for proton range monitoring and verification in inhomogeneous targets. Two different phantom types, namely, (1) ordinary slab and (2) MIRD anthropomorphic phantoms, were used. We have found that the generated <superscript>13</superscript>N peak in such highly inhomogeneous targets (ordinary slab and human phantom) is close to the actual Bragg peak, when irradiated by incident proton beam. The feasibility of using the SA technique to estimate the distribution of positron emitter was also investigated. The current findings and the developed tools in the present work would be helpful in proton range monitoring and verification in realistic clinical radiation therapy using proton beams. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
23791381
Volume :
8
Issue :
5
Database :
Complementary Index
Journal :
Tomography: A Journal for Imaging Research
Publication Type :
Academic Journal
Accession number :
159961670
Full Text :
https://doi.org/10.3390/tomography8050193