Optimization of the inverse planning becomes critical because it follows the invention of intensity modulated radiotherapy(IMRT) to shorten the previous "trial-and-error" treatment process and increase efficiency.In this paper, the inverse planning is used to direct aperture optimization in the ARTS(Accurate/Advanced Radiotherapy System). The objective function was quadratic, both tolerance and dose-volume constraint types are supported. The memory efficient conjugate gradient algorithm is used to cope with its large data.Furthermore, to fully exploit the solution space, a shortest path sub-procedure is coupled into the whole algorithm, thus giving further possibility decreasing the objective function. Two clinical cases are tested, indicating that the applicability of this algorithm is promising to clinical usage.
For resolving the problem that a conventional intensity modulated radiotherapy (IMRT) plan designed with the "two-step method" creates a greater number of apertures and total Monitor Units (MU),the direct aperture optimization1 (DAO) method using a genetic algorithm and conjugate gradient was studied based on Accurate/ Advanced Radiation Therapy System (ARTS)2,3 developed by the FDS Team (www.fds.org.cn).
An algorithm for Monte Carlo simulation of bremsstrahlung emission by electrons based on the framework of Super MC is presented in this paper with efficient and accurate methods to sample the angular distribution and energy of bremsstrahlung photons. The photon energy is sampled according to scaled energy-loss differential cross sections tabulated by Seltzer and Berger. A novel hybrid model for photon angular distribution by low-and high-energy incident electrons is developed. The model uses Tsai's full form of angular distribution function with atomic form factors for high-energy incident electrons. For electrons o\500 ke V, a simple efficient and accurate analytical distribution function is developed, using adjustable parameters determined from the fitting of numerical values of the shape functions tabulated by Kissel et al. The efficiency of sampling photon energy is 80%. Our angular sampling algorithm for high-energy electron bremsstrahlung based on Tsai distribution function is very efficient(sampling efficiency*70%) in the useful photon energy range.
