Driving deterministic dose depositions with monte carlo source modeling

US12208283B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-12208283-B2
Application numberUS-202217692082-A
CountryUS
Kind codeB2
Filing dateMar 10, 2022
Priority dateMar 10, 2022
Publication dateJan 28, 2025
Grant dateJan 28, 2025

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Abstract

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Embodiments described herein provide for coupling Monte Carlo source modeling with deterministic dose calculations. An internal volumetric first scatter distributed source of a patient is determined using Monte Carlo simulations and ingested into one or more dosing algorithms. The dosing algorithms use the source model to determine a dose deposition.

First claim

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What we claim is: 1. A method comprising: executing, by a processor, a model to determine behavior data of each radiation particle of a plurality of radiation particles exiting a radiotherapy machine during radiotherapy treatment of a patient where at least a portion of the plurality of the radiation particles collide with an anatomical region of the patient; encoding, by the processor, behavior data of at least a portion of the plurality of radiation particles into a vector; and transmitting, by the processor, the vector to a second processor, whereby the second processor determines a dose deposition using a dosing algorithm. 2. The method of claim 1 , wherein determining the behavior data of each radiation particle of the plurality of radiation particles comprises employing a nondeterministic particle behavior simulator. 3. The method of claim 2 , wherein the dosing algorithm receives an output from the nondeterministic particle behavior simulator. 4. The method of claim 1 , wherein the behavior data of each radiation particle is determined by estimating an outcome of each particle location, each particle energy, and each particle direction by randomly sampling each radiation particle of the plurality of radiation particles. 5. The method of claim 1 , wherein the behavior data of each radiation particle of the plurality of particles comprises three coordinate dimensions. 6. The method of claim 1 , wherein the behavior data of each radiation particle of the plurality of particles comprises three angular dimensions. 7. The method of claim 1 , wherein the behavior data of each radiation particle of the plurality of particles comprises an energy dimension. 8. The method of claim 1 , further comprising aggregating the behavior data of each radiation particle of the plurality of particles into a first distributed scatter source. 9. The method of claim 8 , wherein the first distributed scatter source is a description of the spatial energy and angular description of a first interaction of the radiation particles colliding with the anatomical region of the patient. 10. The method of claim 1 , further comprising encoding the behavior data of each radiation particle of the plurality of particles into a source vector. 11. A system comprising: a server comprising a first processor, a second processor, and a non-transitory computer-readable medium containing instructions that when executed by the first processor and the second processor causes the first processor and the second processor to perform operations comprising: executing, by the first processor, a model to determine behavior data of each radiation particle of a plurality of radiation particles exiting a radiotherapy machine during radiotherapy treatment of a patient where at least a portion of the plurality of the radiation particles collide with an anatomical region of the patient; encoding, by the first processor, behavior data of at least a portion of the plurality of radiation particles; and transmitting, by the first processor, the vector to the second processor, whereby the second processor determines a dose deposition using a dosing algorithm. 12. The system according to claim 11 , wherein determining the behavior data of each radiation particle of the plurality of radiation particles comprises employing a nondeterministic particle behavior simulator. 13. The system according to claim 12 , wherein the first processor and second processors are further configured such that the dosing algorithm receives an output from the nondeterministic particle behavior simulator. 14. The system according to claim 11 , wherein the behavior data of each radiation particle is determined by estimating an outcome of each particle location, each particle energy, and each particle direction by randomly sampling each radiation particle of the plurality of radiation particles. 15. The system according to claim 11 , wherein the behavior data of each radiation particle of the plurality of particles comprises three coordinate dimensions. 16. The method according to claim 11 , wherein the behavior data of each radiation particle of the plurality of particles comprises three angular dimensions. 17. The method according to claim 11 , wherein the behavior data of each radiation particle of the plurality of particles comprises an energy dimension. 18. The system according to claim 11 , wherein the first processor is further configured to aggregate the behavior data of each radiation particle of the plurality of particles into a first distributed scatter source. 19. The system according to claim 18 , wherein the first distributed scatter source is a description of the spatial energy and angular description of a first interaction of the radiation particles colliding with the anatomical region of the patient. 20. The system according to claim 11 , wherein the first processor is further configured to encode the behavior data of each radiation particle of the plurality of particles into a source vector.

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Classifications

  • X-ray therapy; Gamma-ray therapy; Particle-irradiation therapy (A61N5/01 takes precedence) · CPC title

  • Electrons · CPC title

  • Ions; Protons · CPC title

  • Monte Carlo type methods; particle tracking · CPC title

  • A61N5/1031Primary

    using a specific method of dose optimization · CPC title

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What does patent US12208283B2 cover?
Embodiments described herein provide for coupling Monte Carlo source modeling with deterministic dose calculations. An internal volumetric first scatter distributed source of a patient is determined using Monte Carlo simulations and ingested into one or more dosing algorithms. The dosing algorithms use the source model to determine a dose deposition.
Who is the assignee on this patent?
Siemens Healthineers Int Ag
What technology area does this patent fall under?
Primary CPC classification A61N5/1031. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Tue Jan 28 2025 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).