Methods and system related to radiotherapy treatment planning
AssigneeRaySearch Laboratories AB
InventorsRasmus Helander, Mats Holmstrom
Life of this patent
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Abstract
The present disclosure relates to the use of machine learning for determining initial machine setting parameters for radiotherapy treatment planning. A machine-learning system is trained on data sets including a dose distribution and a set of machine parameter settings resulting from that dose distribution. The trained system can be used for determining machine parameter settings based on a desired dose distribution, which may be used as initial machine parameter settings for radiation treatment optimization.
Claims12
A computer-based method, executed on a radiotherapy treatment planning system, comprising:
- inputting to a machine learning system a plurality of historical data sets, each data set including a dose distributions and a corresponding set of machine parameter settings used to deliver the dose distributions;
- training the machine learning system, based on the historical data sets, to generate machine parameter settings from a reference dose distribution, wherein the machine parameter settings correspond to initialization values used by a radiotherapy treatment plan optimization algorithm;
- generating, using the trained machine learning system, an initial set of machine parameter settings from a reference dose distribution associated with a patient, the initial set being directly usable as initialization values for the radiotherapy treatment plan optimization algorithm;
- automatically initializing, using the generated initial machine parameter settings, a radiotherapy treatment plan optimization algorithm that simulates radiation beam paths using the initialization values and adjusts machine parameters to satisfy patient-specific dosimetric objectives and constraints;
- and
- outputting the optimized radiotherapy treatment plan, including the adjusted machine parameter settings, in a format executable by a radiotherapy apparatus to deliver the prescribed dose distribution to the patient.
Dependencies are inferred from the claim text.