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公开(公告)号:US12296189B2
公开(公告)日:2025-05-13
申请号:US17907546
申请日:2021-03-22
Applicant: RaySearch Laboratories AB (Publ)
Inventor: Bjorn Andersson , Erik Engwall , Albin Fredriksson , Kjell Eriksson
IPC: A61N5/10
Abstract: A computer-based method of optimizing a radiotherapy treatment plan for a patient is proposed, wherein a complete treatment comprising both external beam therapy and brachytherapy is optimized in one procedure using an optimization problem comprising an objective function designed to optimize the total dose distribution as a combination of a first dose distribution to be provided by a first radiation set and a second dose distribution to be provided by a second radiation set. One of the radiation sets is external beam radiotherapy and the other is brachytherapy. The optimization is based on a total desired dose for the whole treatment, images of the patient before the treatment starts and an estimated image of the patient after the first radiation set has been delivered.
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2.
公开(公告)号:US10888712B2
公开(公告)日:2021-01-12
申请号:US15567400
申请日:2016-04-11
Applicant: RaySearch Laboratories AB
Inventor: Albin Fredriksson , Erik Engwall
IPC: A61N5/10
Abstract: An optimization method for a radiotherapy plan using robust optimization to handle different scenarios that may occur during one treatment session because of patient movement. The optimization is based on the period and amplitude of the movement, the starting point of the treatment session within a period and the delivery time structure.
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3.
公开(公告)号:US12179038B2
公开(公告)日:2024-12-31
申请号:US17415768
申请日:2019-12-12
Applicant: RaySearch Laboratories AB
Inventor: Albin Fredriksson , Rasmus Bokrantz , Erik Engwall , Kjell Eriksson , Lars Glimelius
IPC: A61N5/10
Abstract: A method of optimizing the use of resources in treatment planning involving more than one radiation set delivered to one or more patients, the radiation sets requiring different resources, respectively, wherein the optimization is performed using an optimization problem comprising an optimization function related to the first and second sets of resources. The method may be used for optimizing one plan for one patient, or a number of plans for different patients, in such a way that the available resources are used in the best possible way.
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公开(公告)号:US11413474B2
公开(公告)日:2022-08-16
申请号:US16500419
申请日:2018-04-03
Applicant: RaySearch Laboratories AB
Inventor: Albin Fredriksson
Abstract: A method is proposed for evaluating the robustness of a radiotherapy treatment plan. The method comprises, defining a number of scenarios, each comprising one or more errors for each fraction of the plan, including interfractional and/or intrafractional errors, and calculating a dose distribution resulting from the scenario;
The robustness of the plan is then evaluated based at least one of the following i. the probability of fulfilling a set of clinical goals estimated as the clinical goal fulfilment over the scenarios ii. the range of DVH values over the scenarios iii. dose statistics for dose distributions defined as voxel-wise aggregates over the scenario doses.-
5.
公开(公告)号:US10850125B2
公开(公告)日:2020-12-01
申请号:US16731346
申请日:2019-12-31
Applicant: RaySearch Laboratories AB
Inventor: Albin Fredriksson , Mats Holmström , Kjell Eriksson
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 generating a radiation treatment plan. According to one example embodiment, a method may comprise dividing at least one dose characteristic related to a dose distribution for a ROI into a plurality of subintervals. The method may further comprise partitioning the ROI into a plurality of different partitions based on the subintervals. All voxels of the ROI with values within the same subinterval are partitioned into the same partition. For each of the plurality of different partitions, the method may comprise establishing a weight and specifying an optimization function for an obtainable dose distribution based on the respective subinterval of dose characteristics. The method may further comprise generating the radiation treatment plan based on said established weights and specified optimization functions.
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公开(公告)号:US10137314B2
公开(公告)日:2018-11-27
申请号:US15524685
申请日:2014-11-07
Applicant: RaySearch Laboratories AB
Inventor: Albin Fredriksson , Rasmus Bokrantz
Abstract: A method for generating a robust radiotherapy treatment plan, using scenario-based robust optimization, is provided. Weights which are dependent on the overlap of different scenario-specific mappings of a region of interest is used in the optimization.
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公开(公告)号:US12133991B2
公开(公告)日:2024-11-05
申请号:US17907543
申请日:2021-03-22
Applicant: RAYSEARCH LABORATORIES AB
Inventor: Bjorn Andersson , Erik Engwall , Albin Fredriksson , Kjell Eriksson
IPC: A61N5/10
Abstract: A computer-based method of optimizing a radiotherapy treatment plan for a patient is proposed, wherein a treatment plan to be provided by one radiation set is optimized taking into account a previously delivered dose delivered by a different radiation set. One of the radiation sets is external beam radiotherapy and the other is brachytherapy.
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8.
公开(公告)号:US12076586B2
公开(公告)日:2024-09-03
申请号:US17618088
申请日:2020-06-02
Applicant: RaySearch Laboratories AB
Inventor: Minna Wedenberg , Jakob Ödén , Albin Fredriksson , Erik Traneus
IPC: A61N5/10
CPC classification number: A61N5/1031 , A61N5/1038 , A61N2005/1041
Abstract: A method for generating a robust radiotherapy treatment plan for a treatment volume of a subject, the treatment volume being defined using a plurality of voxels, the method comprising the steps of defining (S100) an optimization problem using at least one optimization function for a biological endpoint related to the radiotherapy treatment; defining (S102) a set of scenarios comprising at least a first scenario and a second scenario, wherein at least two of the scenarios in the set of scenarios represent different biological models to quantify the same biological endpoint; calculating (S104) an optimization function value for each scenario in the set of scenarios; generating (S106) a radiotherapy treatment plan by robustly optimizing the optimization function value evaluated over the set of scenarios.
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公开(公告)号:US11969608B2
公开(公告)日:2024-04-30
申请号:US17415019
申请日:2019-12-12
Applicant: RaySearch Laboratories AB
Inventor: Albin Fredriksson , Erik Engwall , Kjell Eriksson , Erik Traneus
IPC: A61N5/10
CPC classification number: A61N5/1031 , A61N5/1078 , A61N2005/1087
Abstract: A method of generating a radiotherapy plan for ion therapy, wherein the beam (6) is shaped by means of passive devices is arranged to allow variation in settings of at least one of the passive devices and/or the MU during the delivery of the beam and to control the movement of the patient and/or the beam in such a way as to create an arc. The arc is preferably a continuous arc or includes at least one continuous sub-arc. The method may include forward planning or optimization. In the latter case, the optimization uses an optimization problem set up to allow variation in settings of at least one of the range modulating device (9), the aperture element (11) and the MU during the delivery of the arc. Computer programs control the planning and the delivery.
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公开(公告)号:US11607559B2
公开(公告)日:2023-03-21
申请号:US16646267
申请日:2018-09-07
Applicant: RaySearch Laboratories AB
Inventor: Kjell Eriksson , Albin Fredriksson , Henrik Olsson
IPC: A61N5/10
Abstract: It is provided a method for determining arc costs. The method comprises the steps of: determining a plurality of beam orientations; evaluating a set of at least one cost function comprising an intermediate exposure cost function that is evaluated by performing the substeps of: projecting the at least one target volumes on a beam plane; determining an alignment angle based on a collimator angle value; finding any intermediate area in the beam plane along the alignment angle between areas of the at least one target volume projection; determining a value of the intermediate exposure cost function. The method further comprises the steps of: finding a plurality of arcs, wherein each arc comprises a sequence of a plurality of beam orientations; and calculating, for each arc in the plurality of arcs, at least one arc cost based on the cost function values of the beam orientations of the arc.
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