IP Library › Granted Patent US 9,999,788
Granted Patent B2
US 9,999,788 · App. 14/596,940 · Granted Jun 19, 2018

Fast and accurate proton therapy dose calculations

Inventors: Anne E. Gattiker (Austin, TX); Damir A. Jamsek (Austin, TX); Sani R. Nassif (Austin, TX); Thomas H. Osiecki (Austin, TX); William E. Speight (Austin, TX); Chin Ngai Sze (Austin, TX); Min-Yu Tsai (Taipei, TW)
Assignee: International Business Machines Corporation
A61N5/1048A61N5/1031A61N2005/1074A61N2005/1087G06F17/50
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Quick Facts
Patent No.
US 9,999,788
App. No.
14/596,940
Granted
Jun 19, 2018
Kind
B2
Abstract

Simulating particle beam interactions includes identifying a set of n functions F 1 , F 2 , . . . , F n corresponding to a plurality of different physical aspects of a particle beam, performing simulations of each F i using a full physics model, selecting for each F i a distribution function f i that models relevant behavior and reducing computation of the full physics model for each F i by replacing F i with a distribution function f i . The computation reduction includes comparing a set of simulations wherein each f i replaces its respective F i to determine if relevant behavior is accurately modeled and selecting one of f i or F i for each n, for a Monte Carlo simulation based on a runtime and accuracy criteria.

Claims (46)

1. A method for simulating particle beam interactions for reducing computation time of particle dosage applied to a lesion, comprising:

identifying a set of n functions F 1 , F 2 , . . . , F n corresponding to a plurality of different physical aspects of a particle beam;

performing simulations of each F i using a full physics model;

selecting for each F a distribution function f i that models relevant behavior of the particle beam;

reducing computation of the full physics model corresponding to each F i by replacing F i with the distribution function f i , wherein reducing computation includes:

computing the particle dosage using at least one f;

computing energy loss fluctuations in the particle beam;

comparing a set of simulations wherein each f i replaces Its respective F i to determine if relevant behavior is accurately modeled; and

selecting one of f i or F i for each n, for a Monte Carlo simulation based on a runtime and accuracy criteria;

treating the lesion based on the computed particle dosage and the computed energy loss fluctuations.

2. The method as recited in claim 1 , wherein the set of n functions includes one or more of particle energy levels, scattering angles, absorption material or particle density.

3. The method as recited in claim 1 , wherein the particle beam includes protons.

4. The method as recited in claim 3 , wherein the energy loss fluctuations are based on multipliers of cumulative distribution functions.

5. The method as recited in claim 1 , wherein reducing computation includes eliminating distributions outside of an operating range.

6. The method as recited in claim 1 , wherein reducing computations includes reducing complexity by generating a prediction model or an estimating model that maintains accuracy.

7. The method as recited in claim 1 , wherein the distribution function includes one or more of probability distribution functions and/or cumulative distribution functions.

8. The method as recited in claim 1 , wherein the distribution function f i includes one or more of an analytical function or table.

9. The method as recited in claim 1 , wherein selecting for each F i a distribution function f i includes selecting f i based on a computation system being used.

10. The method as recited in claim 1 , further comprising controlling a radiation source in accordance with a reduced physics model including at least one f i .

11. A non-transitory computer readable storage medium comprising a computer readable program for simulating particle beam interactions for reducing computation time of particle dosage applied to a lesion, wherein the computer readable program when executed on a computer causes the computer to perform steps of:

identifying a set of n functions F i , F 2 , . . . , F n corresponding to a plurality of different physical aspects of a particle beam;

performing simulations of each F i using a full physics model;

selecting for each F i a distribution function f that models relevant behavior of the particle beam;

reducing computation of the full physics model corresponding to each F i by replacing F i with the distribution function f i , wherein reducing computation includes:

computing the particle dosage using at least one f i ;

computing energy loss fluctuations in the particle beam; and

comparing a set of simulations wherein each f i replaces its respective F i to determine if relevant behavior is accurately modeled; and

selecting one of f i or F i for each n, for a Monte Carlo simulation based on a runtime and accuracy criteria; and

treating the lesion based on the computed particle dosage and the computed energy loss fluctuations.

12. The non-transitory computer readable storage medium as recited in claim 11 , wherein the set of n functions includes one or more of particle energy levels, scattering angles, absorption material or particle density.

13. The non-transitory computer readable storage medium as recited in claim 11 , wherein the particle beam includes protons.

14. The non-transitory computer readable storage medium as recited in claim 13 , wherein the energy loss fluctuations are based on multipliers of cumulative distribution functions.

15. The non-transitory computer readable storage medium as recited in claim 11 , wherein reducing computation includes eliminating distributions outside of an operating range.

16. The non-transitory computer readable storage medium as recited in claim 11 , wherein reducing computations includes reducing complexity by generating a prediction model or an estimating model that maintains accuracy.

17. The non-transitory computer readable storage medium as recited in claim 11 , wherein the distribution function includes one or more of probability distribution functions and/or cumulative distribution functions.

18. The non-transitory computer readable storage medium as recited in claim 11 , wherein the distribution function f i includes one or more of an analytical function or table.

19. The non-transitory computer readable storage medium as recited in claim 11 , wherein selecting for each F i a distribution function f i includes selecting f i based on a computation system being used.

20. The non-transitory computer readable storage medium as recited in claim 11 , further comprising controlling a radiation source in accordance with a reduced physics model including at least one f i .

21. A system for simulating particle beam interactions for reducing computation time of therapy-doses particle dosage applied to a lesion, comprising:

a dose computation module configured in non-transitory stored media to reduce computation of a full physics model corresponding to a set of n functions F 1 , F 2 , . . . , F n for a plurality of different physical aspects of a particle beam, wherein at least one F i is replaced with a distribution function f i to reduce computation by computing the particle dosage using, at least one f i by computing energy loss fluctuations in the particle beam, where f i models relevant behavior of the particle beam;

a simulation and optimization module configured to compare a set of simulations wherein each f i replaces its respective F i to determine if relevant behavior is accurately modeled and to selecting one of f i or F i for each n, for a Monte Carlo simulation based on a runtime and accuracy criteria; and

treat the lesion based on the computed particle dosage and the computed energy loss fluctuations from the dose computation module.

22. The system as recited in claim 21 , wherein the set of n functions includes one or more of particle energy levels, scattering angles, absorption material or particle density.

23. The system as recited in claim 21 , wherein the particle beam includes protons.

24. The system as recited in claim 21 , wherein the energy loss fluctuations are based on multipliers of cumulative distribution functions.

25. The system as recited in claim 21 , wherein the simulation and optimization module selects f i based on a computation system being used.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 14, 2015
From: GATTIKER, ANNE E.; JAMSEK, DAMIR A.; NASSIF, SANI R.; OSIECKI, THOMAS H.; SPEIGHT, WILLIAM E.; SZE, CHIN NGAI; TSAI, MIN-YU
To: INTERNATIONAL BUSINESS MACHINES CORPORATION
Reel/Frame 034713/0463 →
Continuity (2)
Provisional Application 62008393 · Jun 5, 2014
Related Publication 20150352374A1 · Dec 10, 2015