Geant4/GATE Comparison of Geometry Optimization Algorithms for Internal Dosimetry Using Voxelized Phantoms

• Published in: Physics of particles and nuclei letters Vol. 17; no. 1; pp. 97 - 107
• Main Authors: Kaddouch, S., El Khayati, N.
• Format: Journal Article
• Language: English
• Published: Moscow Pleiades Publishing 2020; Springer Nature B.V
• Subjects: Algorithms; Computer simulation; Dosimeters; Dosimetry; Ecology and Nuclear Medicine; Optimization; Optimization algorithms; Parameterization; Particle and Nuclear Physics; Physics; Physics and Astronomy; Radiation therapy; Radiobiology; parameterization methods; internal dosimetry; Geant4/GATE; voxelized phantoms
• ISSN: 1547-4771; 1531-8567
• DOI: 10.1134/S1547477120010094

Geant4 Application for Tomographic Emission (GATE) is a Monte Carlo code, including the algorithms integrated inside Geant4 and other specific tools dedicated to tomography. Though, the detailed physical modeling of Geant4 is computationally demanding in order to simulate photon interactions and transport, particularly using voxelized phantoms. To circumvent the relatively slow simulation of voxelized phantoms for radiotherapy applications, GATE offers some relevant optimization methods to minimize the time consumption. In this study, specific absorbed fractions (SAFs) in Golem voxelized phantom using GATE Monte Carlo code for three optimization algorithms: Nested Parametrized Volume, Regular navigation algorithm and Compressed voxels methods have been used to calculate SAFs and compared to the literature data. The computation time has been also compared and discussed for the three methods. Compressed voxels method is more than 16 times faster than the two other parameterization methods for internal dosimetry field.