Generative model of phase space
AssigneeElekta AB (publ)
InventorsJens Olof Sjolund, Carl Axel Håkan Nordström
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Abstract
Systems and methods are disclosed for simulating dose deposition. The systems and methods perform operations comprising: receiving a set of training data representing phase space of a radiotherapy treatment device comprising propagation and scattering of particles inside the radiotherapy treatment device; training a generative machine learning model based on the set of training data to generate one or more samples of the phase space of the radiotherapy treatment device; and simulating dose deposition at a particular region of interest based on the one or more samples of the phase space generated by the generative machine learning model.
Claims23
A computer-implemented method comprising:
- receiving a set of training data representing a phase space of a radiotherapy treatment device comprising propagation and scattering of particles inside the radiotherapy treatment device;
- training a generative machine learning model based on the set of training data to generate one or more samples of the phase space of the radiotherapy treatment device;
- and
- simulating a dose deposition at a particular region of interest based on the one or more samples of the phase space of the radiotherapy treatment device generated by the generative machine learning model, wherein a radiotherapy treatment plan for a patient is generated based on the simulated dose deposition.
A system for generating one or more radiotherapy treatment plans, the system comprising:
- one or more processors configured to perform operations comprising:
- receiving a set of training data representing a phase space of a radiotherapy treatment device comprising propagation and scattering of particles inside the radiotherapy treatment device;
- training a generative machine learning model based on the set of training data to generate one or more samples of the phase space of the radiotherapy treatment device;
- and
- simulating a dose deposition at a particular region of interest based on the one or more samples of the phase space of the radiotherapy treatment device generated by the generative machine learning model, wherein a radiotherapy treatment plan for a patient is generated based on the simulated dose deposition.
A computer-implemented method comprising:
- accessing a generative machine learning model that has been trained based on a set of training data to generate one or more samples of a phase space of a radiotherapy treatment device, the set of training data comprising propagation and scattering of particles inside the radiotherapy treatment device;
- and
- simulating a dose deposition at a particular region of interest based on the one or more samples of the phase space of the radiotherapy treatment device generated by the generative machine learning model, wherein a radiotherapy treatment plan for a patient is generated based on the simulated dose deposition.
Dependencies are inferred from the claim text.