4 citations · 5 across the 5 of their papers we have counts for
5 papers
Beam modelling of Hitachi PROBEAT proton therapy system for a GPU-based Fast Monte Carlo dose engine
Qianxia Wang, Poenisch Falk, Yao Zhao +8
Background: An in-house dose engine independent of clinic TPS is not only a reliable tool for patient QA verification. More importantly, it plays vital role in cutting-edge researc…
Planned, delivered and variable RBE dose difference analysis for a patient cohort with base-of-tongue cancer treated with IMPT
Qianxia Wang, Edgar Gelover Reyes, Alex Stanforth +9
Background: To our knowledge, no tools have been installed in clinic for delivered and planned dose differences evaluation. This difference could be large for head and neck patient…
Optimization of FLASH Proton Beams Using a Track-Repeating Algorithm
Qianxia Wang, Uwe Titt, Radhe Mohan +4
Methods: A phase space file in a plane at 202 mm downstream of the beam exit window is generated through tuning parameters to match FDC results with measured or MCNPX Monte Carlo-s…
Automatic phase space generation for Monte Carlo calculations of Intensity Modulated Particle Therapy
Qianxia Wang, Cong Zhu, Xuemin Bai +7
Monte Carlo (MC) is generally considered as the most accurate dose calculation tool for particle therapy. However, a proper description of the beam particles kinematics is a necess…
Validation of a track repeating algorithm for intensity modulated Carbon therapy with GEANT4
Qianxia Wang, Antony Adair, Yu Deng +4
The Fast Dose Calculator (FDC), a track repeating algorithm Monte Carlo method was initially developed for proton therapy. The validation for proton therapy has been demonstrated i…