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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:US11291856B2
公开(公告)日:2022-04-05
申请号:US15580472
申请日:2016-06-10
Applicant: RaySearch Laboratories AB
Inventor: Kjell Eriksson
Abstract: A method of optimizing a radiotherapy treatment plan is disclosed, comprising the steps of: a. obtaining a deliverable input treatment plan; b. optimizing the deliverable input treatment plan to obtain an optimized treatment plan, using an objective function and at least one constraint, wherein i. the objective function is related to reducing the plan complexity in terms of minimizing the machine output (MU) and/or minimizing the time required to deliver the plan and/or maximizing the segment area, and/or minimizing jaggedness of the MLC shapes, ii. to ensure that the quality is maintained, the at least one constraint is based on the dose distribution of the input plan, related to maintaining an acceptable dose distribution.
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公开(公告)号:US10384080B2
公开(公告)日:2019-08-20
申请号:US15106097
申请日:2013-12-20
Applicant: RaySearch Laboratories AB
Inventor: Kjell Eriksson
IPC: A61N5/10
Abstract: A method for generating a radiotherapy treatment plan for a patient is provided. The treatment plan is optimized using an optimization objective which is at least partly based on an initially planned dose to the patient.
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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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公开(公告)号:US11839776B2
公开(公告)日:2023-12-12
申请号:US15733906
申请日:2019-06-25
Applicant: RaySearch Laboratories AB
Inventor: Kjell Eriksson
IPC: A61N5/10
CPC classification number: A61N5/1037 , A61N5/1031 , A61N5/1038 , A61N2005/1087
Abstract: A method of radiotherapy treatment planning involves dynamic target tracking and beam redirection. A set of 3D images of a patient reflecting a movement of the patient is obtained, and each image is deformably registered with one reference image. The accumulated dose is calculated as the sum of the dose distribution over all phases in dependence of the patient movement and the model of the delivery machine, the dose distribution for each phase being deformed by means of the deformation map for the respective phase, to match the reference image.
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公开(公告)号:US11607560B2
公开(公告)日:2023-03-21
申请号:US17612666
申请日:2020-05-12
Applicant: RaySearch Laboratories AB
Inventor: Rasmus Bokrantz , Kjell Eriksson , Fredrik Löfman
IPC: A61N5/10
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.
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公开(公告)号:US20220230319A1
公开(公告)日:2022-07-21
申请号:US17596287
申请日:2020-06-01
Applicant: RaySearch Laboratories AB
Inventor: Sebastian Andersson , Kjell Eriksson , Stina Svensson , Dla Weistrand
Abstract: A deep learning model may be trained to provide an estimated image of the interior of a patient, based on a number of image sets, each image set comprising an interior image of the interior of a person and a contour image of the person's outer contour at a specific point in time. The model is trained to establish an optimized parametrized conversion function G specifying the correlation between the interior of the person and the persons outer contour based on the image sets. The conversion function G can then be used to provide estimated images of patient's interior based on their contours.
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公开(公告)号:US11167153B2
公开(公告)日:2021-11-09
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:US10549120B2
公开(公告)日:2020-02-04
申请号:US15580765
申请日:2016-06-09
Applicant: RaySearch Laboratories AB
Inventor: Kjell Eriksson
Abstract: An interpolation of deliverable radiotherapy treatment plans is facilitated by restricting the movement of the multi-leaf collimator leaves between optimization steps.
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公开(公告)号:US12118727B2
公开(公告)日:2024-10-15
申请号:US17596287
申请日:2020-06-01
Applicant: RaySearch Laboratories AB
Inventor: Sebastian Andersson , Kjell Eriksson , Stina Svensson , Ola Weistrand
CPC classification number: G06T7/0016 , G16H30/40 , G06T2207/10076 , G06T2207/10081 , G06T2207/10088 , G06T2207/20081 , G06T2207/20084 , G06T2207/30004
Abstract: A deep learning model may be trained to provide an estimated image of the interior of a patient, based on a number of image sets, each image set comprising an interior image of the interior of a person and a contour image of the person's outer contour at a specific point in time. The model is trained to establish an optimized parametrized conversion function G specifying the correlation between the interior of the person and the persons outer contour based on the image sets. The conversion function G can then be used to provide estimated images of patient's interior based on their contours.
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