ELogs/MatthieuHentz

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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''

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