New calculation method for 3D dose distribution in tetrahedral-mesh phantoms in Geant4
- Authors
- Han, Min Cheol; Ku, Youngmo; Lee, Hyun Su; Yeom, Yeon Soo; Han, Haegin; Kim, Chan Hyeong
- Issue Date
- Oct-2019
- Publisher
- ELSEVIER SCI LTD
- Keywords
- Tetrahedral-mesh; Computational phantom; 3D dose distribution; Monte Carlo; Geant4
- Citation
- PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS, v.66, pp.97 - 103
- Indexed
- SCIE
SCOPUS
- Journal Title
- PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS
- Volume
- 66
- Start Page
- 97
- End Page
- 103
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/12461
- DOI
- 10.1016/j.ejmp.2019.09.239
- ISSN
- 1120-1797
- 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.
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