Clinically Relevant Optimization Based on Simulated Annealing Algorithm in IMRT for Prostate Cancer

Given the advantage and trend  of the clinically relevant optimization in radiotherapy, a novel optimization method using objective function based on tumor control probability(TCP) and normal tissue complication probability(NTCP) was proposed, which can improve global optimization capacity of simulated annealing optimization algorithm (SA) by increasing poor solutions acceptance rate. The effectiveness and superiority of the new method was verified in prostate cancer cases. Experimental results show that the proposed radiotherapy optimization method, not only can improve DVH curve of organs at risk, reduce the NTCP, and improve the therapeutic gain ration, but also can decrease hot spots and gain better dose distribution uniformity of the target.