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Related Experiment Videos

Application of heavy-ion CT.

Hiroshi Shinoda1, Tatsuaki Kanai, Toshiyuki Kohno

  • 1Tokyo Institute of Technology, 4259 Nagatsuta-cho, Midori-ku, Yokohama-shi 226-8502, Japan.

Physics in Medicine and Biology
|August 4, 2006
PubMed
Summary

This study validates the accuracy of the polybinary tissue model for hadron therapy treatment planning. Heavy-ion CT (HICT) and x-ray CT (CT) images confirmed the model

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Area of Science:

  • Medical Physics
  • Radiotherapy
  • Biomedical Imaging

Background:

  • Hadron therapy treatment planning relies on accurate relative stopping power data.
  • Current methods use x-ray CT (CT) with a polybinary tissue model for conversion, but its accuracy in animal tissues is unverified.
  • Precise heavy ion irradiation in radiotherapy necessitates evaluating this model's accuracy in diverse biological tissues.

Purpose of the Study:

  • To evaluate the accuracy of the polybinary tissue calibration model for relative stopping power in animal tissues.
  • To compare relative stopping power data derived from polybinary-tissue-model CT (PTCT) with direct measurements from heavy-ion CT (HICT).

Main Methods:

  • Animal tissue samples were scanned using both x-ray CT and heavy-ion CT (HICT).
  • X-ray CT images were converted to relative stopping power images using the polybinary tissue calibration (PTCT).
  • HICT directly provided a two-dimensional distribution of relative stopping power for comparison.

Main Results:

  • A direct comparison between PTCT and HICT images was performed to verify the calibration table's accuracy.
  • The study found good agreement between the relative stopping powers calculated by PTCT and measured by HICT.
  • The agreement was within 1.6% for fat, muscle, and bone tissues.

Conclusions:

  • The polybinary tissue model demonstrates sufficient accuracy for converting x-ray CT numbers to relative stopping powers in animal tissues.
  • This verification supports the reliable use of the polybinary tissue model in hadron therapy treatment planning, enhancing precision in heavy ion radiotherapy.
  • The findings validate the existing conversion table for clinical application in radiotherapy.

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