000176997 001__ 176997
000176997 005__ 20240229133728.0
000176997 0247_ $$2doi$$a10.1088/1361-6560/ac287f
000176997 0247_ $$2pmid$$apmid:34544068
000176997 0247_ $$2ISSN$$a0031-9155
000176997 0247_ $$2ISSN$$a1361-6560
000176997 0247_ $$2altmetric$$aaltmetric:108036376
000176997 037__ $$aDKFZ-2021-02230
000176997 041__ $$aEnglish
000176997 082__ $$a530
000176997 1001_ $$0P:(DE-He78)4db54f169f7baffd59c7a34f6fd4372f$$aStammer, Pia$$b0$$eFirst author$$udkfz
000176997 245__ $$aEfficient uncertainty quantification for Monte Carlo dose calculations using importance (re-)weighting.
000176997 260__ $$aBristol$$bIOP Publ.$$c2021
000176997 3367_ $$2DRIVER$$aarticle
000176997 3367_ $$2DataCite$$aOutput Types/Journal article
000176997 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1634126315_10604
000176997 3367_ $$2BibTeX$$aARTICLE
000176997 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000176997 3367_ $$00$$2EndNote$$aJournal Article
000176997 500__ $$a#EA:E040#LA:E040#
000176997 520__ $$aObjective. To present an efficient uncertainty quantification method for range and set-up errors in Monte Carlo (MC) dose calculations. Further, we show that uncertainty induced by interplay and other dynamic influences may be approximated using suitable error correlation models.Approach. We introduce an importance (re-)weighting method in MC history scoring to concurrently construct estimates for error scenarios, the expected dose and its variance from a single set of MC simulated particle histories. The approach relies on a multivariate Gaussian input and uncertainty model, which assigns probabilities to the initial phase space sample, enabling the use of different correlation models. Through modification of the phase space parameterization, accuracy can be traded between that of the uncertainty or the nominal dose estimate.Main results. The method was implemented using the MC code TOPAS and validated for proton intensity-modulated particle therapy (IMPT) with reference scenario estimates. We achieve accurate results for set-up uncertainties (γ2 mm/2%≥ 99.01% (E[d]),γ2 mm/2%≥ 98.04% (σ(d))) and expectedly lower but still sufficient agreement for range uncertainties, which are approximated with uncertainty over the energy distribution. Here pass rates of 99.39% (E[d])/ 93.70% (σ(d)) (range errors) and 99.86% (E[d])/ 96.64% (σ(d)) (range and set-up errors) can be achieved. Initial evaluations on a water phantom, a prostate and a liver case from the public CORT dataset show that the CPU time decreases by more than an order of magnitude.Significance. The high precision and conformity of IMPT comes at the cost of susceptibility to treatment uncertainties in particle range and patient set-up. Yet, dose uncertainty quantification and mitigation, which is usually based on sampled error scenarios, becomes challenging when computing the dose with computationally expensive but accurate MC simulations. As the results indicate, the proposed method could reduce computational effort while also facilitating the use of high-dimensional uncertainty models.
000176997 536__ $$0G:(DE-HGF)POF4-315$$a315 - Bildgebung und Radioonkologie (POF4-315)$$cPOF4-315$$fPOF IV$$x0
000176997 588__ $$aDataset connected to CrossRef, PubMed, , Journals: inrepo01.inet.dkfz-heidelberg.de
000176997 650_7 $$2Other$$aMonte Carlo
000176997 650_7 $$2Other$$aimportance sampling
000176997 650_7 $$2Other$$aintensity modulated particle therapy (IMPT)
000176997 650_7 $$2Other$$aproton therapy
000176997 650_7 $$2Other$$arange error
000176997 650_7 $$2Other$$asetup error
000176997 650_7 $$2Other$$auncertainty
000176997 7001_ $$0P:(DE-He78)914adea2baeb4f2c6a29637da6500048$$aBurigo, L.$$b1$$udkfz
000176997 7001_ $$0P:(DE-He78)440a3f62ea9ea5c63375308976fc4c44$$aJäkel, Oliver$$b2$$udkfz
000176997 7001_ $$aFrank, M.$$b3
000176997 7001_ $$0P:(DE-He78)dfd5aaf608015baaaed0a15b473f1336$$aWahl, Niklas$$b4$$eLast author$$udkfz
000176997 773__ $$0PERI:(DE-600)1473501-5$$a10.1088/1361-6560/ac287f$$gVol. 66, no. 20, p. 205003 -$$n20$$p205003 $$tPhysics in medicine and biology$$v66$$x1361-6560$$y2021
000176997 909CO $$ooai:inrepo02.dkfz.de:176997$$pVDB
000176997 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)4db54f169f7baffd59c7a34f6fd4372f$$aDeutsches Krebsforschungszentrum$$b0$$kDKFZ
000176997 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)914adea2baeb4f2c6a29637da6500048$$aDeutsches Krebsforschungszentrum$$b1$$kDKFZ
000176997 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)440a3f62ea9ea5c63375308976fc4c44$$aDeutsches Krebsforschungszentrum$$b2$$kDKFZ
000176997 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)dfd5aaf608015baaaed0a15b473f1336$$aDeutsches Krebsforschungszentrum$$b4$$kDKFZ
000176997 9131_ $$0G:(DE-HGF)POF4-315$$1G:(DE-HGF)POF4-310$$2G:(DE-HGF)POF4-300$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$aDE-HGF$$bGesundheit$$lKrebsforschung$$vBildgebung und Radioonkologie$$x0
000176997 9141_ $$y2021
000176997 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz$$d2021-01-28$$wger
000176997 915__ $$0StatID:(DE-HGF)0430$$2StatID$$aNational-Konsortium$$d2021-01-28$$wger
000176997 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2021-01-28
000176997 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2021-01-28
000176997 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2021-01-28
000176997 915__ $$0StatID:(DE-HGF)1030$$2StatID$$aDBCoverage$$bCurrent Contents - Life Sciences$$d2021-01-28
000176997 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2021-01-28
000176997 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews$$d2021-01-28
000176997 915__ $$0StatID:(DE-HGF)1190$$2StatID$$aDBCoverage$$bBiological Abstracts$$d2021-01-28
000176997 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2021-01-28
000176997 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2021-01-28
000176997 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bPHYS MED BIOL : 2019$$d2021-01-28
000176997 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search$$d2021-01-28
000176997 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC$$d2021-01-28
000176997 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5$$d2021-01-28
000176997 9201_ $$0I:(DE-He78)E040-20160331$$kE040$$lE040 Med. Physik in der Strahlentherapie$$x0
000176997 980__ $$ajournal
000176997 980__ $$aVDB
000176997 980__ $$aI:(DE-He78)E040-20160331
000176997 980__ $$aUNRESTRICTED