Treatment Planning System

A representative example of a treatment planning system application utilizing Radyalis’ Plum Monte Carlo is shown below, where the treatment optimization engine repeatedly calls the Monte Carlo dose calculator for many possible treatment options, compares the results to the desired prescribed dose, and adjusts the treatment options accordingly. The final result of the treatment planning is a DICOM format plan file for the best treatment found by the optimization engine.

Radyalis Representative Treatment Planning Application

Optimization engines and planning algorithms vary greatly between treatment modalities and beam types, but since the Radyalis Monte Carlo dose calculator works for modalities and beams, it can serve as the dose calculator for across a variety of engines and algorithms. Because Plum can run effectively in a cloud or cluster environment, the large number of dose calculations required can be spread across multiple computing resources in order to reduce overall turn-around time.