Abstract

Info

Title:: GPU acceleration for Monte Carlo algorithm-based volume calculation of medical image reconstruction model

Author(s):: HE Donglin; GOU Chengjun; WEN Yumei; CHEN Zhao; LEI Qin; YANG Peng; WU Zhangwen; Key Laboratory for Radiation Physics and Technology of Ministry of Education, Institute of Nuclear Science and Technology, Sichuan University, Chengdu 610064, China

Keywords:: ; Monte Carlo algorithm; volume calculation; C++ accelerated massive parallelism; GPU acceleration

Abstract:: Objective To ascertain the accuracy and improve the speed of Monte Carlo (MC) algorithm for volume calculation and provide reliable data for the clinical application of MC algorithm with GPU acceleration. Methods MC algorithm-based volume calculation was implemented on FonicsPlan planning system platform, meanwhile, C++ accelerated massive parallelism was applied to MC algorithm for parallel GPU acceleration. The accuracy and the speed of algorithms for volume calculation were compared and analyzed. Results Compared with pixel accumulation method and voxel accumulation method, MC algorithm has the highest accuracy and the longest elapsed time. The speed of MC was substantially increased to an average of 50 times by making full use of GPU performance. Conclusion The MC algorithm with GPU acceleration for volume calculation has a highly application value on medical image process and the clinical diagnosis and treatment for it achieves a higher accuracy and reduces elapsed time, which meets the clinical requirements.