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New calculation method for 3D dose distribution in tetrahedral-mesh phantoms in Geant4

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dc.contributor.authorHan, Mincheol-
dc.contributor.authorKu, Youngmo-
dc.contributor.authorLee, Hyun Su-
dc.contributor.authorYeom, Yeon Soo-
dc.contributor.authorHan, Haegin-
dc.contributor.authorKim, Chan Hyeong-
dc.date.accessioned2022-08-19T06:29:29Z-
dc.date.available2022-08-19T06:29:29Z-
dc.date.created2022-06-29-
dc.date.issued2019-10-
dc.identifier.issn1120-1797-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/189216-
dc.description.abstractThe tetrahedral-mesh (TM) geometry, which is a very promising geometry for computational human phantoms, has a limitation in 3D dose distribution calculation for medical applications. Even though Geant4 provides the read-out geometry for calculating 3D dose distribution in the TM geometry, this method significantly slows down the computation speed. In the present study, we developed a new method, called Moving Voxel-based Dose-Distribution Calculator (MVDDC), to rapidly calculate a 3D dose distribution in a TM geometry. To evaluate the performance of the MVDDC method, a simple TM cubic phantom and a human phantom were implemented in Geant4. Subsequently, the phantoms were irradiated with proton spot beams under various conditions, and the obtained results were compared with those of the read-out geometry method. The results show that there is no significant difference between the dose distributions calculated using the new method and the read-out geometry method. With respect to the computational performance, the speeds of simulations using the MVDDC were approximately 1.4-2.7 times faster than those of the simulations using the read-out geometry method.-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherIstituti Editoriali e Poligrafici Internazionali-
dc.relation.isPartOfPhysica Medica-
dc.relation.isPartOfPHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.titleNew calculation method for 3D dose distribution in tetrahedral-mesh phantoms in Geant4-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Radiation Oncology (방사선종양학교실)-
dc.contributor.googleauthorHan, Mincheol-
dc.contributor.googleauthorKu, Youngmo-
dc.contributor.googleauthorLee, Hyun Su-
dc.contributor.googleauthorYeom, Yeon Soo-
dc.contributor.googleauthorHan, Haegin-
dc.contributor.googleauthorKim, Chan Hyeong-
dc.identifier.doi10.1016/j.ejmp.2019.09.239-
dc.relation.journalcodeJ02892-
dc.identifier.eissn1724-191X-
dc.subject.keywordTetrahedral-mesh-
dc.subject.keywordComputational phantom-
dc.subject.keyword3D dose distribution-
dc.subject.keywordMonte Carlo-
dc.subject.keywordGeant4-
dc.contributor.alternativeNameHan, Min Cheol-
dc.contributor.affiliatedAuthorHan, Mincheol-
dc.identifier.scopusid2-s2.0-85072818935-
dc.identifier.wosid000489848200012-
dc.citation.volume66-
dc.citation.startPage97-
dc.citation.endPage103-
dc.identifier.bibliographicCitationPhysica Medica, Vol.66 : 97-103, 2019-10-
dc.identifier.rimsid74630-
dc.type.rimsART-
dc.description.journalClass1-
dc.description.journalClass1-
dc.subject.keywordAuthorTetrahedral-mesh-
dc.subject.keywordAuthorComputational phantom-
dc.subject.keywordAuthor3D dose distribution-
dc.subject.keywordAuthorMonte Carlo-
dc.subject.keywordAuthorGeant4-
dc.subject.keywordPlusCOMPUTATIONAL PHANTOMS-
dc.subject.keywordPlusPATIENT-
dc.subject.keywordPlusMODELS-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalWebOfScienceCategoryRadiology, Nuclear Medicine & Medical Imaging-
dc.relation.journalResearchAreaRadiology, Nuclear Medicine & Medical Imaging-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiation Oncology (방사선종양학교실) > 1. Journal Papers

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