Matches in SemOpenAlex for { <https://semopenalex.org/work/W2120191146> ?p ?o ?g. }
- W2120191146 abstract "The aim of this work was to improve the computational efficiency of Monte Carlo simulations when tracking protons through a proton therapy treatment head. Two proton therapy facilities were considered, the Francis H Burr Proton Therapy Center (FHBPTC) at the Massachusetts General Hospital and the Crocker Lab eye treatment facility used by University of California at San Francisco (UCSFETF). The computational efficiency was evaluated for phase space files scored at the exit of the treatment head to determine optimal parameters to improve efficiency while maintaining accuracy in the dose calculation. For FHBPTC, particles were split by a factor of 8 upstream of the second scatterer and upstream of the aperture. The radius of the region for Russian roulette was set to 2.5 or 1.5 times the radius of the aperture and a secondary particle production cut (PC) of 50 mm was applied. For UCSFETF, particles were split a factor of 16 upstream of a water absorber column and upstream of the aperture. Here, the radius of the region for Russian roulette was set to 4 times the radius of the aperture and a PC of 0.05 mm was applied. In both setups, the cylindrical symmetry of the proton beam was exploited to position the split particles randomly spaced around the beam axis. When simulating a phase space for subsequent water phantom simulations, efficiency gains between a factor of 19.9 ± 0.1 and 52.21 ± 0.04 for the FHTPC setups and 57.3 ± 0.5 for the UCSFETF setups were obtained. For a phase space used as input for simulations in a patient geometry, the gain was a factor of 78.6 ± 7.5. Lateral-dose curves in water were within the accepted clinical tolerance of 2%, with statistical uncertainties of 0.5% for the two facilities. For the patient geometry and by considering the 2% and 2mm criteria, 98.4% of the voxels showed a gamma index lower than unity. An analysis of the dose distribution resulted in systematic deviations below of 0.88% for 20% of the voxels with dose of 20% of the maximum or more." @default.
- W2120191146 created "2016-06-24" @default.
- W2120191146 creator A5017945960 @default.
- W2120191146 creator A5018730722 @default.
- W2120191146 creator A5037938903 @default.
- W2120191146 creator A5041225332 @default.
- W2120191146 creator A5063041108 @default.
- W2120191146 creator A5077702156 @default.
- W2120191146 date "2015-06-10" @default.
- W2120191146 modified "2023-10-17" @default.
- W2120191146 title "Improved efficiency in Monte Carlo simulation for passive-scattering proton therapy" @default.
- W2120191146 cites W1967121735 @default.
- W2120191146 cites W1969413371 @default.
- W2120191146 cites W1979942802 @default.
- W2120191146 cites W1982085533 @default.
- W2120191146 cites W1986217883 @default.
- W2120191146 cites W1996310896 @default.
- W2120191146 cites W1999014317 @default.
- W2120191146 cites W2000076883 @default.
- W2120191146 cites W2000593531 @default.
- W2120191146 cites W2005543036 @default.
- W2120191146 cites W2007784214 @default.
- W2120191146 cites W2014064317 @default.
- W2120191146 cites W2017544853 @default.
- W2120191146 cites W2018826659 @default.
- W2120191146 cites W2025109572 @default.
- W2120191146 cites W2030544564 @default.
- W2120191146 cites W2035309810 @default.
- W2120191146 cites W2042853424 @default.
- W2120191146 cites W2053048461 @default.
- W2120191146 cites W2060324675 @default.
- W2120191146 cites W2066357567 @default.
- W2120191146 cites W2077753500 @default.
- W2120191146 cites W2082660870 @default.
- W2120191146 cites W2085188303 @default.
- W2120191146 cites W2090540146 @default.
- W2120191146 cites W2099370920 @default.
- W2120191146 cites W2102903897 @default.
- W2120191146 cites W2128158076 @default.
- W2120191146 cites W2155403967 @default.
- W2120191146 cites W959054319 @default.
- W2120191146 doi "https://doi.org/10.1088/0031-9155/60/13/5019" @default.
- W2120191146 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4498399" @default.
- W2120191146 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/26061457" @default.
- W2120191146 hasPublicationYear "2015" @default.
- W2120191146 type Work @default.
- W2120191146 sameAs 2120191146 @default.
- W2120191146 citedByCount "8" @default.
- W2120191146 countsByYear W21201911462016 @default.
- W2120191146 countsByYear W21201911462017 @default.
- W2120191146 countsByYear W21201911462019 @default.
- W2120191146 countsByYear W21201911462020 @default.
- W2120191146 countsByYear W21201911462022 @default.
- W2120191146 crossrefType "journal-article" @default.
- W2120191146 hasAuthorship W2120191146A5017945960 @default.
- W2120191146 hasAuthorship W2120191146A5018730722 @default.
- W2120191146 hasAuthorship W2120191146A5037938903 @default.
- W2120191146 hasAuthorship W2120191146A5041225332 @default.
- W2120191146 hasAuthorship W2120191146A5063041108 @default.
- W2120191146 hasAuthorship W2120191146A5077702156 @default.
- W2120191146 hasBestOaLocation W21201911462 @default.
- W2120191146 hasConcept C104293457 @default.
- W2120191146 hasConcept C105795698 @default.
- W2120191146 hasConcept C120665830 @default.
- W2120191146 hasConcept C121332964 @default.
- W2120191146 hasConcept C168834538 @default.
- W2120191146 hasConcept C178635117 @default.
- W2120191146 hasConcept C185544564 @default.
- W2120191146 hasConcept C191172861 @default.
- W2120191146 hasConcept C191486275 @default.
- W2120191146 hasConcept C19499675 @default.
- W2120191146 hasConcept C24890656 @default.
- W2120191146 hasConcept C2779244869 @default.
- W2120191146 hasConcept C30475298 @default.
- W2120191146 hasConcept C31258907 @default.
- W2120191146 hasConcept C33923547 @default.
- W2120191146 hasConcept C38652104 @default.
- W2120191146 hasConcept C41008148 @default.
- W2120191146 hasConcept C54516573 @default.
- W2120191146 hasConcept C78336883 @default.
- W2120191146 hasConceptScore W2120191146C104293457 @default.
- W2120191146 hasConceptScore W2120191146C105795698 @default.
- W2120191146 hasConceptScore W2120191146C120665830 @default.
- W2120191146 hasConceptScore W2120191146C121332964 @default.
- W2120191146 hasConceptScore W2120191146C168834538 @default.
- W2120191146 hasConceptScore W2120191146C178635117 @default.
- W2120191146 hasConceptScore W2120191146C185544564 @default.
- W2120191146 hasConceptScore W2120191146C191172861 @default.
- W2120191146 hasConceptScore W2120191146C191486275 @default.
- W2120191146 hasConceptScore W2120191146C19499675 @default.
- W2120191146 hasConceptScore W2120191146C24890656 @default.
- W2120191146 hasConceptScore W2120191146C2779244869 @default.
- W2120191146 hasConceptScore W2120191146C30475298 @default.
- W2120191146 hasConceptScore W2120191146C31258907 @default.
- W2120191146 hasConceptScore W2120191146C33923547 @default.
- W2120191146 hasConceptScore W2120191146C38652104 @default.
- W2120191146 hasConceptScore W2120191146C41008148 @default.
- W2120191146 hasConceptScore W2120191146C54516573 @default.
- W2120191146 hasConceptScore W2120191146C78336883 @default.
- W2120191146 hasFunder F4320337351 @default.