Abstract

In this paper we show how to employ dynamically generated fluence maps to generate the perfect balance between distribution time and fluence map quality. Our technique is based on a mathematical model that optimizes leaf trajectories and dosage rates for a specific delivery time in order to accurately mimic the desired fluence pattern. We will apply the typical two-step design method to handle the problem of fluence map distribution. The optimization problem is tackled by first optimizing for fluence mapping and then using the leaf-sequencing method to generate precise fluence maps. We formulate dosage rate and leaf trajectory optimization as a non-convex constant optimization problem and use an interior point technique to find the best solution based on arbitrarily adjusted acceptable beginning results. With a prostate example, we put our method to the test and display the resulting balance curves.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call