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Author Spotlight: Enhanced Quantification of Cardiovascular Calcification Progression for Longitudinal Micro PET/CT Studies in Small Research Animals
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openPR - A computational tool for CT conversion assessment with proton radiography.

Sylvain Deffet1, Marie Cohilis2, Kevin Souris2

  • 1Institute of Information and Communication Technologies, Université catholique de Louvain, Louvain-La-Neuve, 1348, Belgium.

Medical Physics
|October 30, 2020
PubMed
Summary

This study developed a new workflow to assess proton therapy uncertainties from CT scans. The method, tested on a pig head, revealed overestimations in uncertainty, particularly in areas with air cavities.

Keywords:
CT calibrationmultilayer ionization chamberparticle imagingproton radiographyrange uncertainty

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Area of Science:

  • Medical Physics
  • Radiotherapy
  • Image Processing

Background:

  • Proton therapy planning relies on converting CT Hounsfield Units to proton stopping powers, a key source of uncertainty.
  • Proton radiography offers range error maps, but these can be influenced by multiple error sources beyond CT conversion.

Purpose of the Study:

  • To develop and validate a workflow for assessing CT conversion uncertainty using only proton radiographs.
  • To quantify the specific contribution of CT conversion to range uncertainty in proton therapy.

Main Methods:

  • A novel workflow was implemented using proton radiographs from a multilayer ionization chamber to assess CT conversion.
  • The workflow involved CT/radiograph registration, sample-specific model validation, and water-equivalent path length (WEPL) error estimation.
  • Applied to a pig head for validating the CT calibration at the PARTICLE proton therapy center.

Main Results:

  • The workflow showed an overall overestimation of CT conversion uncertainty by 71% on a pig head compared to standard safety margins.
  • Significant underestimation of range uncertainty occurred in areas with cavities, correlating with low Hounsfield Units.
  • CT calibration was adapted by widening the air HU interval to -950 to mitigate these localized errors.

Conclusions:

  • The proposed workflow effectively validates CT conversion to relative proton stopping powers, revealing an overall uncertainty overestimation.
  • Cavities were identified as a major source of localized range errors, suggesting potential for reducing treatment planning uncertainties.
  • Implementation in the open-source tool openPR facilitates further studies on patients and diverse tissues to refine uncertainty estimations.