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公开(公告)号:US20240331833A1
公开(公告)日:2024-10-03
申请号:US18129403
申请日:2023-03-31
发明人: Heini HYVÖNEN , Mikko HAKALA , Ville PIETILÄ , Hannu LAAKSONEN
IPC分类号: G16H20/40
CPC分类号: G16H20/40
摘要: Disclosed herein are methods and systems for calculating radiation therapy treatment plan (RTTP) including a method that comprises monitoring, by a processor, a treatment plan optimizer computer model to identify a set of treatment plans, where the treatment plan optimizer computer model ingests a set of medical images and predicts each treatment plan comprising a respective range of angles for treatment beam entry; generating, by the processor, a training dataset comprising the monitored data; and training, by the processor, a machine learning model using the training dataset to predict a new range of angles for treatment beam entry for a new patient by ingesting new patient data of the new patient.
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公开(公告)号:US20240325784A1
公开(公告)日:2024-10-03
申请号:US18192935
申请日:2023-03-30
CPC分类号: A61N5/1031 , G16H20/40 , G16H40/60
摘要: A control circuit accesses information regarding a given patient. That information may include, for example, segmentation information that depicts at least one treatment volume and at least one organ-at-risk. The control circuit then defines a plurality of dose-calculation sectors for the given patient as a function, at least in part, of the information regarding the given patient. Those dose-calculation sectors are not assumed to be uniformly sized. These teachings can then provide for optimizing a radiation treatment plan, such as a volumetric modulated arc therapy radiation treatment plan, as a function, at least in part, of the plurality of dose-calculation sectors to provide an optimized radiation treatment plan.
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公开(公告)号:US20240325783A1
公开(公告)日:2024-10-03
申请号:US18192039
申请日:2023-03-29
发明人: Esa Kuusela
IPC分类号: A61N5/10
CPC分类号: A61N5/1031 , A61N5/1048 , A61N5/1081
摘要: A control circuit accesses information for a given patient (for example, image information corresponding to a target volume and/or an organ-at-risk) as well as characterizing parameters for a given radiation treatment platform (for example, gantry angles). The control circuit can then optimize a radiation treatment plan for the given patient using the given radiation treatment platform as a function, at least in part, of the information for the given patient, the characterizing parameters for the given radiation treatment platform, and a generalized metric type comprising generalized Equivalent Uniform Dose (gEUD)-of-extreme to provide an optimized radiation treatment plan.
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公开(公告)号:US12076587B2
公开(公告)日:2024-09-03
申请号:US17707738
申请日:2022-03-29
IPC分类号: A61N5/10
CPC分类号: A61N5/1031 , A61N2005/1034 , A61N2005/1087
摘要: A computer implemented method of developing a radiation treatment plan comprising spot scanning of a treatment target comprising accessing information associated with a patient and information pertaining to a radiation delivery machine. The method further comprises determining an area associated with the treatment target, wherein the area comprises a plurality of spots and computing a weighting for each spot of the plurality of spots, wherein the weighting is associated with a number of protons delivered at a respective spot. Further, the method comprises computing timing related parameters based on information retrieved from the radiation delivery machine and determining a transition dose delivered by the radiation delivery machine during the transition from one spot to another spot when irradiating the treatment target.
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公开(公告)号:US12059577B2
公开(公告)日:2024-08-13
申请号:US17706902
申请日:2022-03-29
发明人: Jarkko Y. Peltola , Mikko Laitinen , Heini Hyvönen
IPC分类号: A61N5/10
CPC分类号: A61N5/1036 , A61N5/1045 , A61N5/1075 , A61N2005/1074
摘要: A control circuit generates an optimized radiation treatment plan with respect to an adjustable collimation device and then automatically generates at least one quality assurance accuracy value corresponding to the optimized radiation treatment plan. By one approach, the aforementioned plan comprises a plurality of treatment fields. In such a case, automatically generating at least one quality assurance accuracy value can comprise, at least in part, automatically generating at least one quality assurance accuracy value for each of at least a substantial number (or all) of those treatment fields. By one approach, the aforementioned quality assurance accuracy value comprises a dimensionless metric. This dimensionless metric may represent, for example, dosimetric accuracy corresponding to the optimized radiation treatment plan.
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公开(公告)号:US12042670B2
公开(公告)日:2024-07-23
申请号:US17708423
申请日:2022-03-30
发明人: Reto W. Filiberti , Stephen Gaudio
IPC分类号: A61N5/10
CPC分类号: A61N5/1075 , A61N5/10 , A61N5/1037 , A61N5/1042 , A61N5/1045 , A61N5/1047 , A61N5/1048 , A61N5/1049 , A61N5/1064 , A61N5/1065 , A61N5/1067 , A61N5/1069 , A61N5/107 , A61N5/1077 , A61N5/1081 , A61N5/1082 , A61N2005/1054 , A61N2005/1057 , A61N2005/1059 , A61N2005/1061 , A61N2005/1074 , A61N2005/1076
摘要: Systems, devices, and methods for imaging-based calibration of radiation treatment couch position compensations.
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7.
公开(公告)号:US20240225573A9
公开(公告)日:2024-07-11
申请号:US17970744
申请日:2022-10-21
发明人: Mathieu PLAMONDON , Balazs NAGY , Mathias LEHMANN , Adam Michal STRZELECKI , Igor PETERLIK , Dieter Marc SEGHERS
IPC分类号: A61B6/00
CPC分类号: A61B6/4085 , A61B6/5282
摘要: A computer-implemented method of reducing scatter in an X-ray projection image of an object, the method comprising: generating an initial X-ray projection image of an object with an imaging beam produced by an imaging system; based on a first transmission indicator for the object and on a second transmission indicator for at least one element of the imaging system, selecting a kernel for convolution of the initial projection image; convolving the initial X-ray projection image with the kernel to generate a scatter component of the initial X-ray projection image; and generating a corrected X-ray projection image by removing the scatter component from the initial X-ray projection image.
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8.
公开(公告)号:US20240207643A1
公开(公告)日:2024-06-27
申请号:US18086354
申请日:2022-12-21
CPC分类号: A61N5/1031 , G16H20/40
摘要: Systems and methods for radiation treatment planning can include a computing system receiving one or more indications of one or more clinical objectives for a radiotherapy treatment plan, and determining, for each clinical objective, a corresponding quality metric interval. The computing system can determine within each quality metric interval, a corresponding sub-score function having a derivative determined based on one or more priorities of the one or more clinical objectives, and determine a quality score function for the radiotherapy treatment plan by aggregating sub-score functions within quality metric intervals corresponding to the one or more clinical objectives. The computing system can use the quality score function to adjust one or more parameters of an objective function for optimizing the radiotherapy plan.
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公开(公告)号:US12002216B2
公开(公告)日:2024-06-04
申请号:US18120552
申请日:2023-03-13
发明人: Thomas Albrecht , Peter Hess , Nawal Houhou
IPC分类号: G06K9/00 , G06F16/54 , G06N7/01 , G06T7/00 , G06T7/12 , G06T7/13 , G06T7/143 , G06T7/50 , G16H30/20
CPC分类号: G06T7/143 , G06F16/54 , G06N7/01 , G06T7/0002 , G06T7/001 , G06T7/0012 , G06T7/12 , G06T7/13 , G06T7/50 , G16H30/20 , G06T2207/10081 , G06T2207/10116 , G06T2207/20076 , G06T2207/20212 , G06T2207/30008 , G06T2207/30048 , G06T2207/30096 , G06T2207/30168 , G06T2207/30242 , G06V2201/03
摘要: Systems, devices, methods, and computer processing products for automatically checking for errors in segmentation (contouring) using heuristic and/or statistical evaluation methods.
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公开(公告)号:US11992705B2
公开(公告)日:2024-05-28
申请号:US17488878
申请日:2021-09-29
发明人: Carsten Wessels , Ekta Jhala , Anke Engbert
IPC分类号: A61N5/10
CPC分类号: A61N5/1037 , A61N5/103 , A61N5/1031 , A61N5/1042 , A61N5/1049 , A61N5/1067 , A61N5/1069 , A61N5/1081 , A61N2005/1051 , A61N2005/1054 , A61N2005/1059 , A61N2005/1061
摘要: A computer-implemented method of performing a radiation therapy process includes: while a patient is disposed in a first position and maintains a first inspiration level, acquiring a set of projection images of a target volume associated with the patient; based on a treatment planning digital volume associated with the radiation therapy process and the set of projection images, generating a synthetic digital volume that includes the target volume; based on a treatment plan associated with the treatment planning digital volume and on the synthetic digital volume, generating a modified treatment fraction; and while the patient remains in the first position and maintains at least the first inspiration level, performing the modified treatment fraction.
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