Here, we present a deeper view into the example that you play with in the demo.
When stepping through the example scenario, we observe at first a stable respiratory motion. Further on, it will at first sharply rise and then stabilise on a higher level than before. Thus, therapy goals that require to be close to the patient need to be fulfilled before that happens.
The first strategy is to eagerly fulfil goals as close as possible to the respiratory motion.However, this is only preferred if there is no goal to complete within the current distance to remove unnecessary changes.The second strategy replicates the state of the art offline plan and only diverges by pausing the beam delivery completely.
The expected outcome is that the first strategy can complete earlier as it has more opportunities to deliver doses. One can easily see that when the (blue box) respiratory motion rises, the first strategy (green box) also moves outwards working to complete another goal. While at the same time, the second strategy (orange box) becomes inactive (grey box).
However, later on with only a single goal to complete, this difference disappears. Still, both strategies provide a stable delivery, which does not change unnecessarily between goals.