AI Article Synopsis
- Proton computed tomography (pCT) is an advanced imaging technique that directly measures proton relative stopping power (RSP), crucial for calculating doses in proton therapy.
- The article discusses how Monte Carlo (MC) simulations are essential for pCT studies, covering the necessary tools and scanners used in research as well as various MC simulation platforms.
- It also details how MC simulations enhance image reconstruction and improve RSP accuracy, including practical applications using a pCT scanner prototype.
Article Abstract
Proton computed tomography (pCT) is a promising tomographic imaging modality allowing direct reconstruction of proton relative stopping power (RSP) required for proton therapy dose calculation. In this review article, we aim at highlighting the role of Monte Carlo (MC) simulation in pCT studies. After describing the requirements for performing proton computed tomography and the various pCT scanners actively used in recent research projects, we present an overview of available MC simulation platforms. The use of MC simulations in the scope of investigations of image reconstruction, and for the evaluation of optimal RSP accuracy, precision and spatial resolution omitting detector effects is then described. In the final sections of the review article, we present specific applications of realistic MC simulations of an existing pCT scanner prototype, which we describe in detail.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9948882 | PMC |
| http://dx.doi.org/10.1016/j.zemedi.2020.06.006 | DOI Listing |
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