Radiotherapy treatment planning using microdose functions
A technology of treatment planning and dose, applied in the direction of treatment, radiation therapy, mechanical/radiation/invasive treatment, etc., which can solve the problems of increased complexity
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[0024] The present disclosure includes various techniques for generating radiotherapy treatment plans by using machine learning (ML) models or solving optimization problems based on derivatives of dose calculations. As an example, a ML model can be trained to estimate one or more parameters of radiotherapy treatment planning from radiotherapy treatment planning information (eg, CT images or MR images) based on a loss function that considers the derivative of dose (e.g., synthetic CT images) . As another example, one or more parameters of the optimization problem (e.g., constraints and / or decision variables) may take into account derivatives of the dose to generate a solution to the optimization problem, thereby providing one or more parameters of the radiotherapy treatment plan (e.g., , radiotherapy device parameters or control points). Technical benefits include reduced computational processing time for generating radiotherapy treatment plans and solving radiotherapy treatme...
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