ELogs/MatthieuHentz

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Electronic Log for Matthieu Hentz

Contents

To Do

Urgent

  • Nada

Higher priority

  • Work on progress report
  • Write code for benchmarking metrics analysis: CDF, noise and relative error
    • Design more appropriate phantom to evaluate MTF (cf. Plautz et al., 2016 and Mori and Machida, 2009)
  • Get in touch with R Schulte to get access to DROP and TVS-DROP algorithms (Update 18/02/2019: Ask Robert Johnson (rjohnson@ucsc.edu) for access to GitHub repo.)
  • Run preliminary simulations to test the metrics

Lower priority

  • Do reconstruction of simulation with >1 billion protons
  • Convert ITK images to DICOM
  • Assign ID to each proton to simplify matching
    • Concatenating run ID and event ID to a long string does not work as the string is truncated for some reason.
    • Alternative: Use a short hash? -> Need a hash function
  • Write script to move the required number of projection files into the current directory
  • Edit script 'backproject' to take an argument for the number of projections used

Completed

  • (01/02/2019) Implement phantoms to be used to determine MTF and CDF in Geant4: one uniform phantom with a single central non-uniform pixel and another truly uniform phantom
  • (14/02/2019) Write code for benchmarking metrics analysis: MTF

Current Reading List

Image quality assessment

  • Plautz et al. (including Schulte) 2016 An evaluation of spatial resolution of a prototype proton CT scanner Med. Phys. 43 (12)

Proton CT

  • Paganetti H 2012 Range uncertainties in proton therapy and the role of Monte Carlo simulations Phys. Med. Biol. 57
  • Johnson R P 2018 Review of medical radiography and tomography with proton beams Rep. Prog. Phys. 81
  • Arbor N et al. 2015 Monte Carlo comparison of x-ray and proton CT for range calculations of proton therapy beams Phys. Med. Biol. 60
  • R├Ądler M 2018 Two-dimensional noise reconstruction in proton computed tomography using distance-driven filtered back-projection of simulated projections Phys. Med. Biol. 63
  • Brooke M and Penfold S 2018 An inhomogeneous most likely path formalism for proton computed tomography arXiv:1808.00122v1
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