New calculation method for 3D dose distribution in tetrahedral-mesh phantoms in Geant4
DC Field | Value | Language |
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dc.contributor.author | Han, Min Cheol | - |
dc.contributor.author | Ku, Youngmo | - |
dc.contributor.author | Lee, Hyun Su | - |
dc.contributor.author | Yeom, Yeon Soo | - |
dc.contributor.author | Han, Haegin | - |
dc.contributor.author | Kim, Chan Hyeong | - |
dc.date.accessioned | 2021-08-02T10:52:30Z | - |
dc.date.available | 2021-08-02T10:52:30Z | - |
dc.date.created | 2021-05-12 | - |
dc.date.issued | 2019-10 | - |
dc.identifier.issn | 1120-1797 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/12461 | - |
dc.description.abstract | The 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.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER SCI LTD | - |
dc.title | New calculation method for 3D dose distribution in tetrahedral-mesh phantoms in Geant4 | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Chan Hyeong | - |
dc.identifier.doi | 10.1016/j.ejmp.2019.09.239 | - |
dc.identifier.scopusid | 2-s2.0-85072818935 | - |
dc.identifier.wosid | 000489848200012 | - |
dc.identifier.bibliographicCitation | PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS, v.66, pp.97 - 103 | - |
dc.relation.isPartOf | PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS | - |
dc.citation.title | PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS | - |
dc.citation.volume | 66 | - |
dc.citation.startPage | 97 | - |
dc.citation.endPage | 103 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Radiology, Nuclear Medicine & Medical Imaging | - |
dc.relation.journalWebOfScienceCategory | Radiology, Nuclear Medicine & Medical Imaging | - |
dc.subject.keywordPlus | COMPUTATIONAL PHANTOMS | - |
dc.subject.keywordPlus | PATIENT | - |
dc.subject.keywordPlus | MODELS | - |
dc.subject.keywordAuthor | Tetrahedral-mesh | - |
dc.subject.keywordAuthor | Computational phantom | - |
dc.subject.keywordAuthor | 3D dose distribution | - |
dc.subject.keywordAuthor | Monte Carlo | - |
dc.subject.keywordAuthor | Geant4 | - |
dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S1120179719304466?via%3Dihub | - |
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