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RaySearch Laboratories
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Automated Treatment Planning

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Save time and reduce the risk of error by automating treatment planning. Advanced plan-generating protocols, scripting, automated breast planning, fallback planning, machine learning and plan explorer are some of the tools available in RayStation — the first treatment planning system to incorporate machine learning applications.

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RayStation automates parts of the treatment planning process with support for tools such as templates and plan-generation protocols. These are the steps in the planning process which can be automated, such as using atlas-based segmentation, creating plans, setting dose grid resolution, adding beams and optimization functions or settings. Protocols create plans automatically, which drastically reduces planning time.
Scripting in RayStation provides automation, connectivity and flexibility beyond the standard user interface. Script languages IronPython and CPython give users access to all the operating system capabilities and applications such as file writing, process initiation, communication with other computers, and controlling scriptable applications such as Microsoft Office or .NET.
AUTOMATION

Clinic-specific procedures can be automated through scripting. Scripts can check for properties in a plan, such as small segments, disconnected target volumes, hotspots and undesirable gantry and couch angles. The system can then display a warning message or create a report.

CONNECTIVITY  

Scripting provides a way to customize the interaction between RayStation and other systems for scenarios where DICOM is insufficient.

FLEXIBILITY

Scripting enables users to harness the power of RayStation in the way that best serves the needs of their facility. It can be used to create functionality that is not specifically available in the standard interface, such as automatic marker detection, exportation of images of non-standard dose planes, and images of all control points can be utilized as desired.

DATA MINING 

Clinics get access to data in RayStation using the powerful scripting capabilities and can find any information about single or multiple patients to reduce research times.

The automated breast planning solution in RayStation is the first step in our journey to automate routine and standard procedures. RayAutoBreast was initially developed in Toronto, Canada. Between 2009 and 2012, clinicians at Princess Margaret Hospital (PMH) ran a large-scale clinical study to evaluate the performance of automated treatment planning for intensity modulated radiation therapy (IMRT) for tangential breast treatments. They concluded that it could add tremendous degrees of efficiency and standardization, as well as quality to current treatment planning processes. The use of automated procedures will allow for faster adoption of IMRT together with increased access to care improvements for breast cancer patients [1].

RayAutoBreast provides tools for automated generation of tangential breast IMRT plans using heuristic optimization and includes features such as:

  • Detection of radio-opaque markers defining the breast.
  • Contouring of all the relevant target and risk organs.
  • Setup of beams, including heuristic optimization of gantry and collimator angles.
  • Creation of objective functions, optimization and segmentation settings and clinical goals.