GENERATING A PLURALITY OF TREATMENT PLANS FOR RADIATION THERAPY

    公开(公告)号:US20220143424A1

    公开(公告)日:2022-05-12

    申请号:US17594307

    申请日:2020-03-30

    Abstract: It is provided a method for generating a plurality of treatment plans for radiation therapy, each treatment plan specifying weights for a plurality of geometrically defined fluence elements. Each weight defines an amount of radiation fluence, to thereby provide radiation dose to a target volume. The method is performed in a treatment planning system and comprises the steps of: generating a first set of treatment plans; determining a subset of the fluence elements, based on the first set of treatment plans; and generating a second set of at least two treatment plans, wherein the treatment plans only contain weights for the subset of fluence elements.

    System and method for radiotherapy treatment planning

    公开(公告)号:US12053647B2

    公开(公告)日:2024-08-06

    申请号:US17056477

    申请日:2019-05-24

    Inventor: Rasmus Bokrantz

    CPC classification number: A61N5/1036 A61N5/1047

    Abstract: Automatic radiation therapy treatment planning for generating a plan to be delivered from at least one beam angle, using a collimator having a variable collimator angle. Delivery times are determined for a number of possible collimator angles, and the optimization problem is defined to take the delivery times into account when selecting the collimator angles to be used when delivering the radiation.

    Optimizing a treatment plan based on a score function depending on a quality function

    公开(公告)号:US11554270B2

    公开(公告)日:2023-01-17

    申请号:US16645169

    申请日:2018-06-12

    Abstract: It is provided a method for optimizing a treatment plan for use in radiation therapy. The method is performed in a treatment planning system and comprises the steps of: obtaining a first quality function of the treatment plan, the first quality function yielding an output value based on an input treatment plan; obtaining a first pair of input values and a slope indicator, the input values associating a value of the first quality function to a value of a score; constructing a score function that maps values of the first quality function to values of the score by fitting a curve to the first pair of input values and the slope indicator; and optimizing the treatment plan with respect to the score function, by varying the treatment plan such that the value of the score function is either improved or constrained to a feasible range of score values.

    System, computer program product and method for radiation therapy treatment planning

    公开(公告)号:US11607560B2

    公开(公告)日:2023-03-21

    申请号:US17612666

    申请日:2020-05-12

    Abstract: Better Pareto dose distributions for multi-criteria optimization of treatment plans can be obtained by obtaining at least one reference dose function designed to result in an acceptable reference dose distribution, defining a multi-criteria optimization problem including the at least one reference dose function as at least one optimization function, performing at least two optimization procedures based on the multi-criteria optimization problem to generate a set of at least two possible treatment plans, obtaining a treatment plan to be used for treating the patient, based on the set of possible treatment plans, by selecting one plan or by combining plans.

    System and method for determining a radiation treatment plan and a radiation therapy machine

    公开(公告)号:US10441812B2

    公开(公告)日:2019-10-15

    申请号:US15367872

    申请日:2016-12-02

    Abstract: An output radiation treatment plan for at least one target in a treatment volume is determined. Each target is associated with a prescribed radiation dose. An updated treatment plan causes the prescribed radiation dose to be delivered to the target when implemented by a radiation therapy machine. The updated treatment plan requires an updated delivery time to complete and is calculated by: [i] receiving a numerical value designating an upper bound on modulation efficiency of the updated treatment plan, [ii] receiving a current treatment plan, [iii] calculating a current delivery time for the current treatment plan, [iv] calculating an un-modulated delivery time for the current treatment plan, and [v] calculating the updated treatment plan by executing an optimization process while satisfying the upper bound on the modulation efficiency. Steps [ii] to [v] are traversed a predetermined number of times. Thereafter, the output radiation treatment plan is generated.

    System and method for planning a radiation therapy treatment

    公开(公告)号:US11027148B2

    公开(公告)日:2021-06-08

    申请号:US16481150

    申请日:2017-01-27

    Abstract: A system plans a radiation therapy treatment of a target volume based on inputs in the form of: a set of candidate beams (B), where each beam defines an arrangement of a therapeutic beam relative to the target volume; a treatment plan (x) for the radiation therapy treatment that uses a subset of the candidate beams (B); an objective function (F) describing a quality of the treatment plan (x); and a feasible region (X) describing requirements on the treatment plan (x) that must be fulfilled. The objective function (F) and/or the feasible region (X) also reflect a first complexity criterion (τ(x)≤{circumflex over (τ)}) limiting a first complexity measure (τ(x)) to be less than or equal to a maximum first complexity ({circumflex over (τ)}). An optimization step is executed repeatedly; whereby, in each iteration, an updated treatment plan (x′) is calculated by optimizing the treatment plan (x) with respect to the objective function (F) and the feasible region (X). Here, if a termination criterion is fulfilled, a set of selected beams (B*) is calculated based on the updated treatment plan (x′). The set of selected beams (B*) is a subset of the set of candidate beams (B). Otherwise, the updated treatment plan (x′) is set to the treatment plan (x); an updated first complexity criterion (τ′(x)≤{circumflex over (τ)}′) is calculated; the updated first complexity criterion (τ′(x)≤{circumflex over (τ)}′) is set to the first complexity criterion (τ(x)≤{circumflex over (τ)}), and another iteration of the optimization step is executed.

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