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公开(公告)号:US20210205635A1
公开(公告)日:2021-07-08
申请号:US17057170
申请日:2019-05-27
Applicant: RaySearch Laboratories AB
Inventor: Rasmus BOKRANTZ , Albin FREDRIKSSON , Kjell ERIKSSON , Erik ENGWALL , Erik TRANEUS
IPC: A61N5/10
Abstract: The present disclosure generally relates to the field of radiation treatment. More specifically, the present disclosure generally relates to methods and radiation treatment systems for facilitating a multimodal radiation therapy treatment plan, in particular a multimodal radiation therapy plan employing a combined photon beam and electron beam radiation treatment. According to one example embodiment described in the disclosure, a method may comprise obtaining information related to a set of candidate beam types for the combined photon beam and electron beam radiation treatment; comparing the set of candidate beam types against a selection criterion to establish a subset of beam types from the candidate beam types; and generating the combined photon beam and electron beam radiation treatment plan utilizing the thus established subset of beam types.
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2.
公开(公告)号:US20230233876A1
公开(公告)日:2023-07-27
申请号:US18001297
申请日:2021-06-14
Applicant: RAYSEARCH LABORATORIES AB
Inventor: Rasmus BOKRANTZ , Lars GLIMELIUS
CPC classification number: A61N5/103 , G16H50/30 , A61N2005/1087
Abstract: A method for dynamically estimating a biological effect of a variable combination of non-photon radiation in accordance with a relative biological effectiveness, RBE, model including at least one biological effect multiplier δ(T, E) which depends on particle type T and/or particle energy E, the method comprising:
obtaining one or more non-photon radiation contributions D(i)(T, E), 1 ≤ i ≤ N, at least one of said contributions including multiple particle types and/or multiple particle energies;
storing per-contribution dose-weighted averages δ̅(i), 1 ≤ i ≤ N, of said at least one biological effect multiplier with respect to each of the one or more contributions; and
in response to obtaining an assignment Π of the combination, the assignment being in terms of non-negative coefficients k1, k2, ..., kN ≥ 0 to be applied to the one or more contributions, determining a biological effect of the combination, including computing a combined dose-weighted average δ̅Π of said at least one biological effect multiplier on the basis of the stored per-contribution dose-weighted averages.-
公开(公告)号:US20210213303A1
公开(公告)日:2021-07-15
申请号:US17058176
申请日:2019-06-10
Applicant: RaySearch Laboratories AB
Inventor: Rasmus BOKRANTZ , Kjell ERIKSSON , Tianfang ZHANG
IPC: A61N5/10
Abstract: A method of obtaining an interpolated treatment plan is based on interpolating between associated dose distributions through optimization with respect to an optimization problem comprising optimization functions based on deviations from clinical goals. The method may suitably be used to improve navigated plans resulting from multi-criteria optimization.
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公开(公告)号:US20210038914A1
公开(公告)日:2021-02-11
申请号:US17044497
申请日:2019-04-01
Applicant: RaySearch Laboratories AB
Inventor: Erik TRANEUS , Kjell ERIKSSON , Erik ENGWALL , Rasmus BOKRANTZ , Albin FREDRIKSSON
Abstract: A method of radiotherapy treatment planning for creating a plan for delivery of radiation to a patient in at least one particle-based arc is proposed. The delivery time for the plan is reduced by including a penalty in the objective function, designed to limit the number of energy layers and/or the number of energy layer changes.
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公开(公告)号:US20200324143A1
公开(公告)日:2020-10-15
申请号:US16091274
申请日:2017-04-05
Applicant: RaySearch Laboratories AB
Inventor: Rasmus BOKRANTZ , Albin FREDRIKSSON
IPC: A61N5/10
Abstract: A scenario-based treatment plan optimization method for radiotherapy treatment is proposed, in which a first and a second possible scenario are defined. Different optimization functions are defined for the scenarios and the treatment plan is optimized applying the first optimization function under the first scenario and the second optimization function under the second scenario, thereby obtaining a first optimized radiotherapy treatment plan.
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6.
公开(公告)号:US20170296840A1
公开(公告)日:2017-10-19
申请号:US15516091
申请日:2016-03-30
Applicant: RaySearch Laboratories AB
Inventor: Rasmus BOKRANTZ , Björn HÅRDEMARK , Albin FREDRIKSSON
IPC: A61N5/10
CPC classification number: A61N5/103 , A61N5/1045
Abstract: A radiation treatment plan is determined by: [1] receiving a current fluence map defining a radiation dose; [2] receiving a current control-point sequence describing machine settings for a collimator associated with a radiation source; [3] determining an updated fluence map and an updated control-point sequence based on the current fluence map; [4] determining a further updated control-point sequence based on the updated control-point sequence and the updated fluence map; [5] determining a further updated fluence map based on the updated fluence map, the updated control-point sequence and the further updated control-point sequence; [6] checking if a stopping criterion is fulfilled; if so: stopping the process, and producing an output radiation treatment plan based on the further updated control-point sequence; and otherwise: setting the further updated fluence map, or zero, to the current fluence map; setting the further updated control-point sequence to the current control-point sequence; and returning to step [3].
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7.
公开(公告)号:US20190117997A1
公开(公告)日:2019-04-25
申请号:US16091618
申请日:2017-04-05
Applicant: RaySearch Laboratories AB
Inventor: Albin FREDRIKSSON , Rasmus BOKRANTZ
Abstract: A scenario-based radiotherapy treatment plan optimization method is used to define an extended region of interest for treatment planning purposes, based on the union of the positions of a region of interest in a number of different scenarios, each scenario representing a realization of a possible location of the region of interest. Preferably a number of scenarios are defined and some of these scenarios are used to define the extended region.
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公开(公告)号:US20180304097A1
公开(公告)日:2018-10-25
申请号:US15959470
申请日:2018-04-23
Applicant: RaySearch Laboratories AB
Inventor: Rasmus BOKRANTZ
CPC classification number: A61N5/1031 , A61N5/1039 , A61N2005/1041 , G06F17/30979 , G06N5/022 , G06N99/005 , G16H20/40 , G16H50/20
Abstract: Radiation therapy treatment planning methods facilitate predicting achievable dose distributions by training a prediction model for clinical DVH curves based on simplified DVH curves obtained using standardized methods. Machine learning applied on pairs of clinical and simplified DVH curves enables predicting actual clinical DVH curves based on simplified DVH curves.
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9.
公开(公告)号:US20170157423A1
公开(公告)日:2017-06-08
申请号:US15367872
申请日:2016-12-02
Applicant: RaySearch Laboratories AB
Inventor: Rasmus BOKRANTZ , Björn HÅRDEMARK
IPC: A61N5/10
CPC classification number: A61N5/1038 , A61N5/103 , A61N5/1036 , A61N5/1045 , A61N5/1047 , A61N5/1071
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.
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公开(公告)号:US20250161714A1
公开(公告)日:2025-05-22
申请号:US18840949
申请日:2022-12-20
Applicant: RaySearch Laboratories AB (Publ)
Inventor: Erik Engwall , Otte MARTHIN , Rasmus BOKRANTZ , Lars GLIMELIUS , Albin FREDRIKSSON , Bjorn ANDERSSON , Viktor WASE
IPC: A61N5/10
Abstract: A method of creating an ion-based radiotherapy treatment plan includes a spot-weight optimization procedure arranged to create the plan involving an arc as a combination of one or more sub-arcs and possibly a static beam wherein the one or more sub-arcs either overlap or have different directions. The method includes selecting the first and second sets of energy levels together.
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