Fast Monte Carlo simulations for proton PBS

List of publications related to MCsquare

Development:

Technical Note: Monte Carlo methods to comprehensively evaluate the robustness of 4D treatments in proton therapy.
Souris K., Barragan-Montero A., Janssens G., Di Perri D., Sterpin E., Lee J. A.
Medical physics, 46(10), 4676-4684. (2019)

Fast multipurpose Monte Carlo simulation for proton therapy using multi- and many-core CPU architectures.
Souris K., Lee J. A., Sterpin E.
Medical physics, 43(4), 1700-1712. (2016)

Validation:

Validation of linear energy transfer computed in a Monte Carlo dose engine of a commercial treatment planning system.
Wagenaar D., Tran L.T., Meijers A., Marmitt G.G., Souris K., Bolst D., James B., Biasi G., Povoli M., Kok A., Traneus E., van Goethem M.-J., Langendijk J.A., Rosenfeld A.B., Both S.
Physics in Medicine & Biology, 65(2), 025006. (2020)

Validation and application of a fast Monte Carlo algorithm for assessing the clinical impact of approximations in analytical dose calculations for pencil beam scanning proton therapy.
Huang S., Souris K., Li S., Kang M., Barragan-Montero A., Janssens G., Lin A., Garver A., Ainsley C., Taylor P., Xiao Y., Lin L.
Medical Physics, 45(12), 5631-5642. (2018)

Validation and clinical implementation of an accurate Monte Carlo code for pencil beam scanning proton therapy.
Huang S., Kang M., Souris K., Ainsley C., Solberg T. D., McDonough J. E., Simone C. B., Lin, L.
Journal of applied clinical medical physics, 19(5), 558-572. (2018)

Experimental assessment of proton dose calculation accuracy in inhomogeneous media.
Sorriaux J., Testa M., Paganetti H., de Xivry J. O., Lee J. A., Traneus E., Souris K., Sterpin E.
Physica Medica, 38, 10-15. (2017)

Applications:

Platform for automatic patient quality assurance via Monte Carlo simulations in proton therapy.
Guterres Marmitt G., Pin A., Ng Wei Siang K., Janssens G., Souris K., Cohilis M., Langendijk J.A., Both S., Knopf A., Meijers A.
Physica Medica, 70, 49-57. (2020)

A noise correction of the γ‐index method for Monte Carlo dose distribution comparison.
MCohilis M., Sterpin E., Lee J. A., Souris K.
Medical physics, 47(2), 681-692. (2020)

Towards fast and robust 4D optimization for moving tumors with scanned proton therapy.
Buti G., Souris K., Barragan-Montero A., Lee J. A., Sterpin E.
Medical physics, 46(12), 5434-5443. (2019)

Mitigating inherent noise in Monte Carlo dose distributions using dilated U‐Net.
Javaid U., Souris K., Dasnoy D., Huang S., Lee J. A.
Medical physics, 46(12), 5790-5798. (2019)

Calculation of clinical dose distributions in proton therapy from microdosimetry.
Bertolet A., Cortes‐Giraldo M. A., Souris K., Cohilis M., Carabe‐Fernandez A.
Medical physics, 46(12), 5816-5823. (2019)

Impact of machine log-files uncertainties on the quality assurance of proton pencil beam scanning treatment delivery.
Toscano S., Souris K., Goma C., Barragan-Montero A., Puydupin S., Vander Stappen F., Janssens G., Matic A., Geets X., Sterpin E.
Physics in Medicine & Biology, 64(9), 095021. (2019)

Patient-specific bolus for range shifter air gap reduction in intensity-modulated proton therapy of head-and-neck cancer studied with Monte Carlo based plan optimization.
Michiels S., Barragan-Montero A., Souris K., Poels K., Crijns W., Lee J. A., Sterpin E., Nuyts S., Haustermans K., Depuydt T.
Radiotherapy and Oncology, 128(1), 161-166. (2018)

Performance of a hybrid Monte Carlo‐Pencil Beam dose algorithm for proton therapy inverse planning.
Barragan-Montero A., Souris K., Sanchez‐Parcerisa D., Sterpin E., Lee J. A.
Medical physics, 45(2), 846-862. (2018)