Back to results
US 9,844,684 B2Granted
Optimization methods for radiation therapy planning
AssigneeStc.Unm
InventorsShuang Luan, Daniel Andres Riofrio Almeida
Life of this patent
Estimating the term…
Abstract
An optimization technique for use with radiation therapy planning that combines stochastic optimization techniques such as Particle Swarm Optimization (PSO) with deterministic techniques to solve for optimal and reliable locations for delivery of radiation doses to a targeted tumor while minimizing the radiation dose experienced by the surrounding critical structures such as normal tissues and organs.
Claims20
An optimization method for radiation therapy planning, comprising the steps of:
- (a) modeling a tumor mass and a critical mass;
- (b) positioning a plurality of static particles, each with its own potential function, to a surface of each of the tumor mass and the critical mass;
- (c) placing a set of kinetic particles, each with its own potential function, to the surface of each of the tumor mass and the critical mass providing a first location of each kinetic particle creating a first location map;
- (d) applying a momentum to each kinetic particle;
- (e) computing a static potential field for the plurality of static particles and a dynamic potential field for the set of kinetic particles;
- (f) calculating a force value incident upon each kinetic particle based on step (e);
- (g) updating the first location of each kinetic particle to a second location based on the force value creating a second location map;
- (h) repeating steps (e) through (g) until a variation of distance between the first location map and the second location map converges to less than a given threshold value or until a number of iterations reaches a certain threshold value;
- (i) recording a final location for each kinetic particle;
- and
- (j) translating the final location for each kinetic particle to define a plan for execution by one or more radiation sources.
8 more elements
An optimization method for radiation therapy planning, comprising the steps of:
- (a) defining a tumor structure and one or more critical structures;
- (b) positioning static particles, each with its own potential function, on a surface of the tumor structure and the one or more critical structures;
- (c) placing kinetic particles, each with its own potential function, within a cross-section of the tumor structure;
- (d) applying an initial velocity to the kinetic particles to create a location map of the kinetic particles;
- and
- (e) computing a static potential field for the static particles and a dynamic potential field for the kinetic particles;
- (f) calculating a force value incident upon each kinetic particle based on step (e);
- (g) updating the first location map of the kinetic particles to a second location based on the force value creating a second location map;
- (h) repeating steps (e) through (g) until a variation of distance between the first location map and the second location map converges to less than a given threshold value, a number of iterations have reached a certain threshold value, or the kinetic particles have traversed through the entire tumor structure;
- (i) recording a final location and a trajectory for each kinetic particle based on steps (a) through (h);
- (j) using a regression method to smooth the trajectories of the kinetic particles;
- (k) translating the final location and the trajectory for each kinetic particle to define a treatment plan for execution by a radiation source;
- and
- (l) executing the treatment plan by the radiation source.
11 more elements
Dependencies are inferred from the claim text.