Dynamic multi-leaf collimator leaf trajectory optimization for optimum delivery of fluence profile
Pushpendra Singh, Supriya Tripathi · SPAST Abstracts · 2021
We describe how to use dynamically given fluence maps to determine the balance between distribution time and corresponding quality of the fluence map in this work. Our solution is based on a complex model that optimises leaf trajectories and dosage rates for a particular delivery duration in order to duplicate the desired fluence pattern as accurately as feasible. To solve the problem of fluence map distribution, we'll use the standard two-step design process. The optimization issue is solved by optimising for fluence mapping first and then performing a leaf-sequencing method on the delivery of definite fluence maps. We formulate the optimization of dose rate and leaf trajectory as a non-convex constant optimization problem, and obtain the optimal solution using an interior point technique based on arbitrarily adjusted acceptable initial results. We put our method to the test with a prostate example and show the resultant balance curves. Analysis of the leaf trajectories demonstrates that shorter delivery time plans have greater leaf apertures than the prolonged distribution time plans.