Pixel Image Analysis and Its Application with an Alcohol-Based Liquid Scintillator for Particle Therapy

Sensors (Basel). 2022 Jun 28;22(13):4876. doi: 10.3390/s22134876.

Abstract

We synthesized an alcohol-based liquid scintillator (AbLS), and we implemented an auxiliary monitoring system with short calibration intervals using AbLS for particle therapy. The commercial liquid scintillator used in previous studies did not allow the user to control the chemical ratio and its composition. In our study, the chemical ratio of AbLS was freely controlled by simultaneously mixing water and alcohol. To make an equivalent substance to the human body, 2-ethoxyethanol was used. There was no significant difference between AbLS and water in areal density. As an application of AbLS, the range was measured with AbLS using an electron beam in an image analysis that combined AbLS and a digital phone camera. Given a range-energy relationship for the electron expressed as areal density, the electron beam range (cm) in water can be easily estimated. To date, no literature report for the direct comparison of a pixel image analysis and Monte Carlo (MC) simulation has been published. Furthermore, optical tomography of the inverse problem was performed with AbLS and a mobile phone camera. Analyses of optical tomography images provide deeper insight into Radon transformation. In addition, the human phantom, which is difficult to compose with semiconductor diodes, was easily implemented as an image acquisition and analysis system.

Keywords: CT; Radon transform; alcohol; digital camera; electron beam; image analysis; linear accelerator; liquid scintillator; medical physics; novalis Tx; optical tomography; percent depth dose; phantom.

MeSH terms

  • Electrons*
  • Humans
  • Image Processing, Computer-Assisted*
  • Monte Carlo Method
  • Phantoms, Imaging
  • Water

Substances

  • Water

Grants and funding

This research received no external funding.