2020
A general-purpose Monte Carlo particle transport code based on inverse transform sampling for radiotherapy dose calculation
Liang Y, Muhammad W, Hart GR, Nartowt BJ, Chen ZJ, Yu JB, Roberts KB, Duncan JS, Deng J. A general-purpose Monte Carlo particle transport code based on inverse transform sampling for radiotherapy dose calculation. Scientific Reports 2020, 10: 9808. PMID: 32555530, PMCID: PMC7300009, DOI: 10.1038/s41598-020-66844-7.Peer-Reviewed Original ResearchConceptsPhoton transportBoundary crossing algorithmMonte Carlo particle transport codeMonte Carlo methodTransport simulationsAcceptance-rejection samplingRadiotherapy dose calculationsPhoto-electric effectParticle transport codeEGSnrc simulationsCarlo methodBremsstrahlung eventsInelastic scatteringPair productionRayleigh scatteringThread divergenceMC simulationsTransport codeMC codeHistory schemeParticle transportCrossing algorithmInverseElectron transportSimulation accuracy
2019
Beam modeling and beam model commissioning for Monte Carlo dose calculation‐based radiation therapy treatment planning: Report of AAPM Task Group 157
Charlie C, Chetty IJ, Deng J, Faddegon B, Jiang SB, Li J, Seuntjens J, Siebers JV, Traneus E. Beam modeling and beam model commissioning for Monte Carlo dose calculation‐based radiation therapy treatment planning: Report of AAPM Task Group 157. Medical Physics 2019, 47: e1-e18. PMID: 31679157, DOI: 10.1002/mp.13898.Peer-Reviewed Original ResearchConceptsBeam modelElectron beam dose calculationsMonte Carlo methodRadiotherapy dose calculationsTreatment planning systemDose calculationsClinical beam modelCarlo methodBeam modelingRadiation therapy treatment planningMC simulationsTherapy treatment planningElectron beamTreatment headClinical photonRadiotherapy treatment planningGeneral approachCalculationsHigh accuracyPractical procedureAccuracyModelClinical physicistsAnalytical methodBeam delivery