ELogs/MatthieuHentz

Electronic Log for Matthieu Hentz

To Do

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

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

(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

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

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
Rädler 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