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Particle-Tracking Proton Computed Tomography-Data Acquisition, Preprocessing, and Preconditioning.

Blake Schultze1, Paniz Karbasi2, Christina Sarosiek3

  • 1Department of Electrical and Computer Engineering, Baylor University, Waco, TX 76798, USA.

IEEE Access : Practical Innovations, Open Solutions
|May 17, 2021
PubMed
Summary
This summary is machine-generated.

Proton CT (pCT) imaging offers superior relative stopping power accuracy for precise proton therapy planning. This study details the software algorithms for converting pCT data into accurate images, improving tumor targeting.

Keywords:
Proton computed tomographydata acquisitioninitial image formationpreprocessing

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Area of Science:

  • Medical Imaging
  • Computational Physics
  • Radiation Oncology

Background:

  • Proton CT (pCT) offers enhanced relative stopping power (RSP) accuracy compared to x-ray CT.
  • Accurate RSP reconstruction is crucial for precise proton range determination in treatment planning.
  • Previous work has focused on pCT hardware and initial image reconstruction.

Purpose of the Study:

  • To present the software algorithms for converting pCT detector data into reconstructed images for proton therapy planning.
  • To detail the data acquisition, preprocessing, and initial image formation stages.
  • To provide a foundation for further image quality improvements in subsequent research.

Main Methods:

  • Data acquisition using pCT tracking and energy-range detectors.
  • Preprocessing steps including track information formatting and water-equivalent path length calculation.
  • Initial image reconstruction using the FDK cone-beam CT algorithm.

Main Results:

  • Successful conversion of pCT detector data to reconstructed images.
  • Demonstration of data acquisition, preprocessing, and FDK reconstruction pipeline.
  • Illustrative imaging results presented for two phantoms, including a pediatric head phantom.

Conclusions:

  • The described software algorithms form a viable pipeline for pCT image reconstruction.
  • The initial FDK reconstruction provides a basis for advanced iterative reconstruction methods.
  • This work lays the groundwork for improved proton therapy planning through accurate pCT imaging.