A unique implementation of a multi-objective inverse optimization, based on the Dose Volume Histogram (DVH) representation.

It is the most native way to handler objectives (cost-functions) and constraints for dynamically adapting the 3D dose distribution to any clinical demands. It enables the effective drive of 3D dose distributions also by non-experts. After a processing phase all adaptations are taking place in real-time and on-flying over the DVH-curves. The intuitive way to handle constraints on any selectable parameter makes it the most easy-to-use optimization engine available in radiation oncology treatment planning.