View source for ELogs/MatthieuHentz

Electronic Log for Matthieu Hentz

== 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'''
* 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''