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Revolutionize treatment planning with speed and smart optimization

We think plan quality relies on smart optimization and fast calculation speed, two fundamental aspects of RayStation. Did you for example know that by using more intelligent software optimization you can decrease delivery time with no sacrifice in treatment plan quality without upgrading or replacing your current linacs? Or that calculation speed is key to the quality of your plans?

With RayStation, you benefit from unrivaled computation speed that should radically transform your treatment planning process.

As the computation time is measured in seconds rather than minutes, you can efficiently produce several competing treatment plans to assess different trade-off situations instead of opening a second case or going on a break during computations.

Optimization and clinical dose computation for a standard prostate IMRT case is done in less than ten seconds and in approximately 30 seconds for a more complex 9-beam IMRT head-and neck case on a high resolution 2mm dose grid.*

Depending on the modality, RayStation uses different beam models and dose calculation engines to quickly and accurately calculate dose. CC-dose algorithms have been adapted for CPU and GPU to further speed up dose computation.

*results may vary as dose computation time depends on several variables.

Watch demonstration

RayStation includes an ultrafast multi-purpose optimization engine that can solve virtually any posed optimization problem within radiation therapy regardless of beam modality and treatment technique.

The generic optimization engine is used for all plan optimization, irrespective of beam modality and treatment technique. The optimization method used is called sequential quadratic programming and allows for efficient optimization of a non-linear objective, non-linear constraints and rigorous handling of linear constraints and bounds. For convex functions, it guarantees convergence to the globally optimal solution.

  • Multi-purpose optimization engine.
  • 4D Robust optimization (see below own section). 
  • Physical objective and constraint functions, such as min/max dose, min/max DVH, min/max EUD, uniform dose and target conformance.
  • Templates for objectives and constraints.
  • Automatic dose improvements.


RayStation utilizes a unique robust optimization method that takes the effects of potential changes into account from the outset and makes your plan robust to geometrical and dosimetric uncertainties. Setup errors may optionally be evaluated independently for each beam, or unique isocenter. This technique is useful e.g. for creating robust junctions when field matching is required.

The inclusion of 4D-CT images in the robust optimization process addresses situations where there is significant relative intrafractional motion of internal organs, for example in the thorax during free breathing or partially gated treatments. Setup and density uncertainties may be added on top of the 4D image data in the optimization. The 4D data may originate from the CT itself (4D-CT), or by simulating the organ motion in the Deformable Registration module of RayStation. Another use case for the 4D robust optimization in RayStation is to assign different material overrides to the same ROI on identical copies of the planning CT.  By employing this technique plans may be created that are robust against e.g. random air bubbles in the Bowel of Pelvic patients.

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A constant difficulty encountered in radiation therapy treatment planning is the patient-specific trade-off between ensuring appropriate tumor coverage and avoiding excessive radiation to healthy structures. Such trade-offs are conventionally resolved by manually altering an optimization problem formulation and re-optimizing the treatment plan multiple times. Trial and error of this form is time consuming and even if a treatment plan deemed satisfactory is found, it is not clear if better treatment options exist for the current patient. With rayNavigator, the multi-criteria optimization method in RayStation you can simplify your planning process while improving the quality of your plans.

RayStation’s multi-criteria optimization makes it easy to explore the possibilities and optimize your plan. Choose the parameters to change. Then simply move the sliders for an immediate graphic view of how the plan will be affected.

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Watch how RISO experiences working with multi-criteria optimization

RISO Radiotherapeutic Institute in the Netherlands is one of the first RayStation users. In this video, they describe their partnership with RaySearch and how multi-criteria optimization in RayStation has helped them improve the workflow and personalize care for patients.

Reduce Organ At Risk Dose enables treatment planners to consistently reach plans that cannot be improved upon.

Reduce Organ At Risk Dose is a one-click post-processing functionality in RayStation that can easily be applied after conventional planning whenever Continue optimization can. It enables treatment planners to consistently reach plans that cannot be improved upon.

Treatment planning is typically performed towards fulfillment of a set of clinical goals. Once a plan satisfying the clinical goals has been found, there are often aspects of the plan that can be further improved upon. To simplify procuring the improvements, RayStation implements the Reduce Organ at Risk (OAR) dose functionality, which uses the current plan as a reference and aims to improve upon the treatment plan without compromising any goal. Reduce OAR dose automatically reduces the OAR doses as much as possible while the dose distributions of all targets and OARs are constrained not to deteriorate compared to the reference plan. 

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Radiobiological optimization and evaluation*

The use of radiobiological response models brings the planning process closer to the intent to create a plan with the highest possible probability of curing the patient while keeping the risk of complications to the surrounding healthy tissue as low as possible. The philosophy is to use biological models to reveal effects that are difficult to understand from the dose distribution alone.

There are tools for both biological optimization and evaluation. Optimization tools enable direct optimization on the biological indices in combination with physical dose indices. This makes it possible to configure optimization problems that more closely describe the clinical intentions, such as minimizing normal tissue complication probabilities subject to a guaranteed homogenous target dose within a specified standard deviation.

Evaluation tools include Tumor Control Probability (TCP) and Normal Tissue Complication Probability (NTCP) models which can be combined with tissue repair and tumor growth models. The biological tools are integrated into the plan evaluation module. The physical properties of the existing plan can thus be easily investigated if unexpected differences in the biological response are observed between different plans. In addition, there is a biological evaluation module dedicated to the exploration of the biological effects of altering the fractionation schedule of a single treatment plan.

* Radiobiological optimization and evaluation is only available in RayStation

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Boost your linac with smart optimization

With RayStation, you can take constant dose rate VMAT to the next level thanks to smart optimization. You can reach plan quality equivalent to variable dose rate VMAT without an expensive hardware upgrade.

Using modern and innovative treatment planning tools, it is possible to create deliverable Split Constant Dose Rate (SCDR) plans with comparable plan quality as corresponding Variable Dose Rate (VDR) plans, without upgrading the linac to VDR. The delivery times of both the VDR and the SCDR plans are significantly shorter than what is reported for IMRT plans. The mean delivery times of the tested prostate plans are between 1 and 2 minutes for both techniques, and between 2 and 4 minutes for the tested head and neck plans. Read more in the white paper below. 

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