Title :
Monte Carlo simulation of complex radiotherapy treatments
Author :
Leal, Antonio ; Sánchez-doblado, Franciso ; Perucha, María ; Carrasco, Ester ; Rincón, Magnolia ; Arrans, Rafael ; Bernal, Carlos
Author_Institution :
Seville Univ., Spain
Abstract :
Monte Carlo simulation is an accurate way of assessing radiotherapy dose distribution in nonhomogeneous volumes, but it requires long processing times. A new distribution model simulates radiotherapy treatments and runs on a PC network, which reduces the processing time and makes for a powerful treatment-verification tool.
Keywords :
Monte Carlo methods; computational complexity; digital simulation; distributed algorithms; dosimetry; medical computing; radiation therapy; Monte Carlo simulation; PC network; distributed computing; distribution model; nonhomogeneous volumes; radiotherapy dose distribution; radiotherapy treatments; treatment-verification tool; Computational modeling; Computer simulation; Concurrent computing; Cryptography; Distributed computing; History; Hospitals; Parallel processing; Personal communication networks; Random number generation;
Journal_Title :
Computing in Science & Engineering
DOI :
10.1109/MCSE.2004.16
