公开(公告)号：US20250108233A1

公开(公告)日：2025-04-03

申请号：US18851085

申请日：2023-02-07

Applicant: RAYSEARCH LABORATORIES AB

Inventor： Rasmus HELANDER ,  Mats HOLMSTROM

IPC: A61N5/10

Abstract: The present disclosure relates to the use of machine learning for determining initial machine setting parameters for radiotherapy treatment planning. A machine-learning system is trained on data sets including a dose distribution and a set of machine parameter settings resulting from that dose distribution. The trained system can be used for determining machine parameter settings based on a desired dose distribution, which may be used as initial machine parameter settings for radiation treatment optimization.

公开(公告)号：US12260507B2

公开(公告)日：2025-03-25

申请号：US17415776

申请日：2019-12-16

Applicant: RaySearch Laboratories AB

Inventor： Ola Weistrand

IPC: G06T19/20 ,  G06F18/214 ,  G06V10/75

Abstract: A method for generating data representing the volume of part of a body, the method comprising generating a point distribution model “PDM” based on an input dataset comprising data representing at least one surface of part of a body, the PDM defining a surface model dataset based on an average dataset and one or more weight-eigenvector pairs, generating a first surface model dataset based on the PDM by modifying at least one weight of the one or more weight-eigenvector pairs, wherein the first surface model dataset is different from the average dataset, and generating an output volume dataset based on the first surface model dataset and a first reference dataset, the first reference dataset comprising data representing the volume of a corresponding part of a body, the output volume dataset comprising data representing a deformed volume of the corresponding part of the body.

公开(公告)号：US20250065155A1

公开(公告)日：2025-02-27

申请号：US18726799

申请日：2022-12-09

Applicant: RAYSEARCH LABORATORIES AB

Inventor： Erik TRANEUS ,  Björn HÅRDEMARK

IPC: A61N5/10

Abstract: The function of a radiotherapy treatment delivery system may be tested by comparing actual delivery data to simulated delivery data based on a system model. The actual delivery data may be obtained from a dry run of the system.

公开(公告)号：US12201851B2

公开(公告)日：2025-01-21

申请号：US18255152

申请日：2021-11-18

Applicant: RaySearch Laboratories AB (Publ)

Inventor： Albin Fredriksson ,  Hanna Gruselius ,  Mats Holmstrom ,  David Andersson

IPC: A61N5/10

Abstract: A method (100) for generating a treatment plan specifying an irradiation of a patient, the method comprising: a dose inference stage (112), including using a model to infer a spatial dose from patient data; a dose mimicking stage (116), including executing a robust optimization process to generate a deliverable treatment plan which is consistent with the inferred spatial dose, wherein the robust optimization considers a plurality of scenarios relating to patient data uncertainty.

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

IPC: G06T7/00 ,  G16H30/40

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.

公开(公告)号：US12083358B2

公开(公告)日：2024-09-10

申请号：US18186773

申请日：2023-03-20

Applicant: RaySearch Laboratories AB (Publ)

Inventor： Ivar Bengtsson ,  Albin Fredriksson

IPC: A61N5/10

CPC classification number: A61N5/1039 ,  A61N5/1031 ,  A61N5/1038

Abstract: Generating a robust radiotherapy treatment plan for a treatment volume, defined using a plurality of voxels, of a subject. A first and at least one second image of the treatment volume are received. A distribution of mapped doses in the first image is generated by mapping a dose defined in the at least one second image to the first image using image registration. An optimization problem is defined using at least one optimization function for a total dose, related to the radiotherapy treatment. At least one optimization function value is calculated based on at least two mapped doses in the distribution of mapped doses in the first image. A radiotherapy treatment plan is generated by optimizing the at least one optimization function value evaluated by taking into account the at least two mapped doses in the distribution of mapped doses.

公开(公告)号：US11992704B2

公开(公告)日：2024-05-28

申请号：US17596506

申请日：2020-06-02

Applicant: RaySearch Laboratories AB

Inventor： Bjorn Andersson ,  Cecilia Battinelli ,  Rasmus Bokrantz

IPC: A61N5/10

CPC classification number: A61N5/1031 ,  A61N2005/1087

Abstract: A method of radiotherapy treatment planning for particle-based arc treatment comprises the steps of



determining (S11; S21) an initial set of candidate energy layers,
performing a calculation on the initial set,
determining (S13; S23), based on the outcome of said calculation, at least one additional energy layer to produce an expanded candidate layer set, wherein the at least one additional energy layer involves an energy level that has not previously been used
adding (S14; S24) the at least one additional energy to the initial set, to produce an expanded candidate energy layer set
optimizing (S16; S26) a radiotherapy treatment plan based on the expanded candidate layer set.

公开(公告)号：US11931599B2

公开(公告)日：2024-03-19

申请号：US18256427

申请日：2021-11-29

Applicant: RaySearch Laboratories AB (Publ)

Inventor： Mats Holmstrom ,  David Andersson ,  Gabriel Carrizo ,  Adnan Hossain

IPC: A61N5/00 ,  A61N5/10 ,  G16H20/40

CPC classification number: A61N5/1038 ,  A61N5/1039 ,  G16H20/40

Abstract: An estimated or predicted dose for radiotherapy treatment may be generated based on a partial dose map including dose information only for one or more regions of interest within a treatment site, by use of a properly trained machine learning system such as a U-Net or a V-Net. Said partial dose map typically set to fulfil clinical goals. A method of training such a machine learning system is also disclosed.

公开(公告)号：US20240082602A1

公开(公告)日：2024-03-14

申请号：US18552670

申请日：2022-02-17

Applicant: RaySearch Laboratories AB (Publ)

Inventor： Lars GLIMELIUS ,  Erik ENGWALL ,  Otte MARTHIN

IPC: A61N5/10

CPC classification number: A61N5/1031 ,  A61N5/1043 ,  A61N2005/1087

Abstract: A computer-based method of providing a set of selected spots for use in ion radiotherapy optimization is proposed, the method comprising the steps of defining a number of positions in the volume, each position corresponding to a possible Bragg peak location, the positions being defined to provide coverage of the volume, for each position, for at least one beam direction, performing a ray trace to determine characteristics of a potential spot in the beam that will place its Bragg peak in the position and for each position, selecting zero, one or more of the potential spots, based on the characteristics, and including the one or more selected spots in the set of selected spots. The set of selected spots may be used in treatment planning. The invention also relates to computer program products and a computer system for performing the methods.

公开(公告)号：US11865363B2

公开(公告)日：2024-01-09

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

CPC classification number: A61N5/1031 ,  A61N2005/1089 ,  A61N2005/1091

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.