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    HYBRID TRAJECTORY AND BEAM ANGLE OPTIMIZATION FOR EXTERNAL BEAM RADIATION THERAPY
    6.
    发明申请
    HYBRID TRAJECTORY AND BEAM ANGLE OPTIMIZATION FOR EXTERNAL BEAM RADIATION THERAPY 有权

    公开(公告)号：US20220370829A1

    公开(公告)日：2022-11-24

    申请号：US17870286

    申请日：2022-07-21

    申请人： Varian Medical Systems International AG ,  Varian Medical Systems, Inc.

    发明人： Santtu Ollila

    IPC分类号： A61N5/10 ,  G06T7/00

    摘要： A method of determining treatment geometries for a radiotherapy treatment includes providing a patient model having one or more regions of interest (ROIs); defining a delivery coordinate space (DCS); for each beam's eye view (BEV) plane of each vertex in the DCS, and for each ROI, evaluating a dose of the ROI using transport solutions; evaluating a BEV scores of each pixel of the BEV plane using the doses of the one or more ROIs; determining one or more BEV regions in the BEV plane based on the BEV scores; determining a BEV region connectivity manifold based on the BEV regions; determining a set of treatment trajectories based on the BEV region connectivity manifold; and determining one or more IMRT fields. Each treatment trajectory defines a path through a set of vertices in the DCS. Each IMRT field defines a direction of incidence corresponding to a vertex in the DCS.

    Trajectory optimization using dose estimation and conflict detection
    7.
    发明授权
    Trajectory optimization using dose estimation and conflict detection 有权

    公开(公告)号：US11478661B2

    公开(公告)日：2022-10-25

    申请号：US17036176

    申请日：2020-09-29

    申请人： VARIAN MEDICAL SYSTEMS INTERNATIONAL AG

    发明人： Tuomas Tallinen ,  Daniel Valenzuela ,  Janne Nord

    IPC分类号： A61N5/10

    摘要： Systems and methods for radiation treatment planning can include a computing system determining an estimate of a radiation dose distribution within an anatomical region of a patient, and determining a cost matrix representing an objective function, using the estimate of the radiation dose distribution. The computing system can project the cost matrix on each of a plurality of fluence planes. Each of the plurality of fluence planes can be associated with a corresponding gantry-couch orientation of a plurality of gantry-couch orientations of a medical linear accelerator. The computing system can determine, using projections of the cost matrix on each of the plurality of fluence planes, a sequence of gantry-couch orientations among the plurality of gantry-couch orientations representing a treatment path.

    Methods and systems for adaptive radiotherapy treatment planning using deep learning engines
    8.
    发明授权
    Methods and systems for adaptive radiotherapy treatment planning using deep learning engines 有权

    公开(公告)号：US11475991B2

    公开(公告)日：2022-10-18

    申请号：US16145673

    申请日：2018-09-28

    申请人： Varian Medical Systems International AG

    发明人： Hannu Laaksonen ,  Janne Nord ,  Sami Petri Perttu

    IPC分类号： G16H30/40 ,  A61N5/10 ,  G06N3/08 ,  G16H20/40 ,  G16B40/00

    摘要： Example methods for adaptive radiotherapy treatment planning using deep learning engines are provided. One example method may comprise obtaining treatment image data associated with a first imaging modality and planning image data associated with a second imaging modality. The treatment image data may be acquired during a treatment phase of a patient. Also, planning image data associated with a second imaging modality may be acquired prior to the treatment phase to generate a treatment plan for the patient. The method may also comprise: in response to determination that an update of the treatment plan is required, processing, using the deep learning engine, the treatment image data and the planning image data to generate output data for updating the treatment plan.