Basic study of mobile gamma ray imaging using a digital camera and scintillator

Hiroshi Yoshitani, Toshioh Fujibuchi, Yumiko Nakajima

Research output: Contribution to journalArticlepeer-review

Abstract

Gammacameras are used in nuclearmedicine examinations involving radioisotopes; however, they do not provide real-time feedback. We propose a real-time imagingmethod based on a commercially available digital camera and a scintillator array to provide simple and accurate measurements of radioisotope accumulation and contamination. We evaluate the sensitivity and resolution of the proposed device using x-rays as a proxy for gamma-rays. The performance of the device is demonstrated using PENTAXKP and ORCA-spark C11440-36U digital cameras. Acaesium iodide scintillator array is irradiated with x-rays, with the state of lightemission confirmed using live view images. The pixel value is evaluated as a function of dose rate. Furthermore, we investigate the state of light emission in response to amplifying the light signal using an image intensifier. For the PENTAXKP, luminescence is observable for a dose rate of approximately 10m Sv h-1, which changes to 2.1 mSv h-1 when an image intensifier is used. Not ably, the ORCA-spark detected emission at a low dose rate of 0.06 mSv h-1. However, using an image intensifier resulted in noisier images. Therefore, although the ORCA-spark can observe luminescence at a suitable predicted dose rate for application in nuclear medicine examinations, a collimator is required to control the spread of gamma rays. However, as this causes the sensitivity to decrease, increasing the amount of light emitted by the scintillator and improving the sensitivity of the camera is vital.

Original languageEnglish
Article number037001
JournalBiomedical Physics and Engineering Express
Volume7
Issue number3
DOIs
Publication statusPublished - Apr 1 2021

All Science Journal Classification (ASJC) codes

  • Biophysics
  • Bioengineering
  • Biomaterials
  • Physiology
  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications
  • Health Informatics

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