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[Optical Computed Tomography for Polymer Gel Dosimetry].

Hiraku Kawamura1, Takaoki Takanashi1,2, Yoshikazu Shimada1

  • 1Department of Radiological Sciences, Ibaraki Prefectural University of Health Science.

Igaku Butsuri : Nihon Igaku Butsuri Gakkai Kikanshi = Japanese Journal of Medical Physics : an Official Journal of Japan Society of Medical Physics
|November 21, 2017
PubMed
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Optical computed tomography (OCT) offers a promising method for polymer gel dosimetry. Two developed OCT systems demonstrate potential for rapid, high-resolution, and accurate radiation dose evaluation.

Keywords:
artifactoptical computed tomography (OCT)polymer gel dosimetryreconstructed image

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Area of Science:

  • Medical Physics
  • Radiological Sciences
  • Optical Engineering

Background:

  • Polymer gel dosimetry is crucial for accurate radiation dose measurement.
  • Existing dosimetry methods may have limitations in speed or resolution.
  • Optical Computed Tomography (OCT) presents an alternative imaging modality.

Purpose of the Study:

  • To describe two newly developed OCT systems for polymer gel dosimetry.
  • To evaluate the performance and potential of OCT in this application.
  • To compare OCT-based dosimetry with established methods.

Main Methods:

  • Development of a first-generation OCT system using a He-Ne laser and mechanical stages.
  • Implementation of a second-generation 2D-OCT scanner with a light panel and camera detector.
  • Utilized filtered back-projection (FBP) for image reconstruction in the first system.

Main Results:

  • The 2D-OCT system demonstrated a dose-response relationship comparable to magnetic resonance imaging.
  • Reconstructed images were obtained from projection data using FBP.
  • Image artifacts due to light reflection and refraction were observed, indicating areas for improvement.

Conclusions:

  • OCT is a viable and emerging tool for polymer gel dosimetry.
  • The developed OCT systems show potential for rapid, high-resolution, and accurate dose evaluation.
  • Further refinement is needed to address image artifacts for optimal clinical application.