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1. 发明授权

US11517768B2 Systems and methods for determining radiation therapy machine parameter settings 有权
公开(公告)号：US11517768B2
公开(公告)日：2022-12-06
申请号：US15658484
申请日：2017-07-25
申请人： Elekta, Inc.
发明人： Lyndon S. Hibbard
IPC分类号： A61N5/10 , G16H30/40 , G16H20/40 , G16H10/60 , G06N3/04 , G06N3/08
摘要： Systems and methods can include a method for training a deep convolutional neural network to provide a patient radiation treatment plan, the method comprising collecting patient data from a group of patients, the patient data including at least one image of patient anatomy and a prior treatment plan, wherein the treatment plan includes predetermined machine parameters, and training a deep convolution neural network for regression by using the prior treatment plans and the corresponding collected patient data to determine a new treatment plan. Systems and methods can also include a method of using a deep convolutional neural network to provide a radiation treatment plan, the method comprising retrieving a trained deep convolution neural network previously trained on patient data from a group of patients, collecting new patient data, wherein the new patient data includes at least one image of patient anatomy, and determining a new treatment plan for the new patient using the trained deep convolutional neural network for regression, wherein the new treatment plan has a new set of machine parameters.

2. 发明授权

US11369804B2 Particle arc treatment planning 有权
公开(公告)号：US11369804B2
公开(公告)日：2022-06-28
申请号：US17302225
申请日：2021-04-27
申请人： Elekta, Inc.
发明人： Martin Soukup , Kun-Yu Tsai
IPC分类号： A61N5/10 , G16H20/40
摘要： System and methods may be used for arc fluence optimization without iteration to arc sequence generation. A method may include defining a particle arc range for a radiotherapy treatment of a patient, and generating an arc sequence, including a set of parameters for delivering the radiotherapy treatment, without requiring a dose calculation. The method may include optimizing fluence of the arc sequence for the radiotherapy treatment without iterating back to arc sequence generation, and outputting the fluence optimized arc sequence for use in the radiotherapy treatment.

3. 发明授权

US11318327B2 Adaptive radiotherapy system 有权
公开(公告)号：US11318327B2
公开(公告)日：2022-05-03
申请号：US16665360
申请日：2019-10-28
申请人： Elekta, Inc.
发明人： Virgil Matthew Willcut , Michel Moreau
IPC分类号： A61N5/10 , G06T3/00 , G06T7/00 , G06T7/11 , G06T7/30
摘要： The present disclosure relates to a method for use in adaptive radiotherapy and a treatment planning device. The method may comprise accessing a first medical image and a second medical image that represent a region of interest of a patient at different times. Each medical image is segmented into a target region and at least one non-target region. The method may further comprise accessing a deformation vector field including a plurality of vectors, wherein each vector defines a geometric transformation to map a respective voxel in the first medical image to a corresponding voxel in the second medical image. The method may further comprise generating a modified deformation vector field by: identifying a first vector in the deformation vector field that maps a voxel in the first medical image to a voxel that is in a non-target region in the second medical image; and determining whether the first vector causes a distance between the mapped voxel and the target region to increase and, if so, reducing the magnitude of the first vector. The method may further comprise post-processing the modified deformation vector field to compensate for changes in the shape or size of the target region.

4. 发明申请

US20210339046A1 MACHINE LEARNING APPROACH TO REAL-TIME PATIENT MOTION MONITORING 有权
公开(公告)号：US20210339046A1
公开(公告)日：2021-11-04
申请号：US17305772
申请日：2021-07-14
申请人： Elekta, Inc.
发明人： Martin Emile Lachaine , Silvain Beriault
IPC分类号： A61N5/10 , G16H50/50 , G16H20/40 , G16H30/20 , G16H30/40 , G06N3/08
摘要： Systems and techniques may be used to estimate a patient state during a radiotherapy treatment. For example, a method may include generating a dictionary of expanded potential patient measurements and corresponding potential patient states using a preliminary motion model. The method may include training, using a machine learning technique, a correspondence motion model relating an input patient measurement to an output patient state using the dictionary. The method may include estimating, using a processor, the patient state corresponding to an input image using the correspondence motion model.

5. 发明授权

US10886026B2 Adaptive treatment management system with a workflow management engine 有权
公开(公告)号：US10886026B2
公开(公告)日：2021-01-05
申请号：US15556676
申请日：2016-03-10
申请人： ELEKTA, INC.
发明人： Johannes Ferdinand Van Der Koijk , Scot Evan Hogan , Colin Raymond Winfield , Alexis Nicolaas Thomas Jozef Kotte
IPC分类号： G16H10/60 , G16H50/20 , G06F19/00 , G16H40/20 , G16H15/00
摘要： This disclosure relates generally to treatment management systems, which may include a clinical database for storing therapeutic protocols. The system may also include a treatment engine operatively connected to the clinical database. The treatment engine may obtain diagnostic information and select a first plurality of therapeutic protocols from the clinical database based on the obtained diagnostic information and reference protocol data. The treatment engine may calculate a treatment efficacy probability for each protocol using the reference protocol data. The treatment engine may develop a first treatment plan and evaluate intermediate data indicating an altered patient state due to the first treatment plan. The treatment engine may select, based on reference protocol data and adaptive protocol data, a second treatment plan using a second plurality of therapeutic protocols. The selected second treatment plan is adapted based on the clinical objective, the reference protocol data, and the treatment efficacy information.

6. 发明授权

US10668300B2 Radiation treatment planning or administration electron modeling 审中-公开
公开(公告)号：US10668300B2
公开(公告)日：2020-06-02
申请号：US15836474
申请日：2017-12-08
申请人： Elekta, Inc.
发明人： Sami Hissoiny , Michel Moreau
IPC分类号： G06G7/56 , A61N5/10
摘要： Radiation treatment planning and administration can include a Monte Carlo computer simulation tool to simulate photo-generated electrons in tissue. In the simulation, electrons that have left tissue voxels and entered air voxels can be evaluated to identify electrons that are circling along a spiraling trajectory in the air voxels. After at least one full spiraling circumference or other specified distance has been traversed using a detailed electron transport model, a simpler linear ballistic motion model can be instituted. This speeds simulation while accurately accounting for spiraling electrons that re-enter tissue voxels.

7. 发明授权

US10664723B2 Pseudo-CT generation from MR data using tissue parameter estimation 有权
公开(公告)号：US10664723B2
公开(公告)日：2020-05-26
申请号：US16122331
申请日：2018-09-05
申请人： Elekta, Inc.
发明人： Xiao Han
IPC分类号： G06K9/62 , G06N20/00 , G06F16/51 , G06N5/04 , G06T7/00 , A61N5/10 , G06T5/00 , G06K9/46 , G06K9/66 , A61B5/055 , G01R33/48 , A61B6/03 , A61B6/00
摘要： Systems and methods are provided for generating a pseudo-CT prediction model using multi-channel MR images. An exemplary system may include a processor configured to retrieve training data including multiple MR images and at least one CT image for each of a plurality of training subjects. For each training subject, the processor may determine at least one tissue parameter map based on the multiple MR images and obtain CT values based on the at least one CT image. The processor may also generate the pseudo-CT prediction model based on the tissue parameter maps and the CT values of the plurality of training subjects.

8. 发明授权

US10596391B2 Systems and methods of accounting for shape change during radiotherapy 有权
公开(公告)号：US10596391B2
公开(公告)日：2020-03-24
申请号：US15839381
申请日：2017-12-12
申请人： Elekta, Inc.
发明人： Virgil Willcut
IPC分类号： A61N5/10
摘要： Embodiments of the disclosure may be directed to a system for generating a motion target volume representative of shape changes of a target region in a patient. The system may comprise at least one computer system configured to receive a plurality of electronic medical images that include the target region, and each of the plurality of images may have been taken at a different time point. The computer system may be configured to define a three-dimensional volume containing the target region in each of the plurality of images, and the three-dimensional volume may be different in at least two of the plurality of images due to differences in shape of the target region in the at least two images. The computer system may also be configured to co-register the three-dimensional volumes and generate the motion target volume, wherein the motion target volume encompasses each of the three-dimensional volumes.

9. 发明申请

US20190175952A1 DETERMINING PARAMETERS FOR A BEAM MODEL OF A RADIATION MACHINE USING DEEP CONVOLUTIONAL NEURAL NETWORKS 审中-公开
公开(公告)号：US20190175952A1
公开(公告)日：2019-06-13
申请号：US15836539
申请日：2017-12-08
申请人： Elekta, Inc.
发明人： Sami Hissoiny
IPC分类号： A61N5/10 , G06N3/02
摘要： Systems and methods can include training a deep convolutional neural network model to provide a beam model for a radiation machine, such as to deliver a radiation treatment dose to a subject. A method can include determining a range of parameter values for at least one parameter of a beam model corresponding to the radiation machine, generating a plurality of sets of beam model parameter values, wherein one or more individual sets of beam model parameter values can include a parameter value selected from the determined range of parameter values, providing a plurality of corresponding dose profiles respectively corresponding to respective individual sets beam model parameter values in the plurality of sets of beam model parameter values, and training the neural network model using the plurality of beam models and the corresponding dose profiles.

10. 发明授权

US10238893B2 Dose rate modulated stereotactic radio surgery 有权
公开(公告)号：US10238893B2
公开(公告)日：2019-03-26
申请号：US15485204
申请日：2017-04-11
申请人： ELEKTA, INC.
发明人： Brett Mathew Sloman
IPC分类号： A61N5/10
摘要： The present disclosure relates to methods and systems for radiotherapy. Embodiments of the present disclosure may receive a medical image including images of a target and an organ at risk (OAR). Some embodiments may also receive a target dose and a constraint on an OAR dose. Some embodiments may also generate a dose application plan based on the target dose and the constraint. Generation of the dose application plan may include determining a placement of an arc along which radiation is to be applied based on the target dose and a location of the target; dividing the arc into a plurality of segments; determining a dose rate associated with each segment; calculating a predicted OAR dose based on the determined dose rate; and comparing the predicted OAR dose with the constraint on the OAR dose to determine whether the predicted OAR dose satisfies the constraint on the OAR dose.

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