中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

175 records (took 0.022 seconds)

    Method and apparatus for radiation treatment planning
    61.
    发明授权
    Method and apparatus for radiation treatment planning 有权

    公开(公告)号：US12059577B2

    公开(公告)日：2024-08-13

    申请号：US17706902

    申请日：2022-03-29

    Applicant: Siemens Healthineers International AG

    Inventor： Jarkko Y. Peltola ,  Mikko Laitinen ,  Heini Hyvönen

    IPC: A61N5/10

    CPC classification number: A61N5/1036 ,  A61N5/1045 ,  A61N5/1075 ,  A61N2005/1074

    Abstract: 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.

    SYSTEMS AND METHODS FOR ADJUSTING MULTI-LEAF COLLIMATOR
    64.
    发明公开
    SYSTEMS AND METHODS FOR ADJUSTING MULTI-LEAF COLLIMATOR 审中-公开

    公开(公告)号：US20230390582A1

    公开(公告)日：2023-12-07

    申请号：US18453282

    申请日：2023-08-21

    Applicant: SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.

    Inventor： Johannes STAHL ,  Walter Arturo AGUILAR

    IPC: A61N5/10

    CPC classification number: A61N5/1036 ,  A61N5/1045 ,  A61N2005/1074

    Abstract: The present disclosure provides systems and methods for adjusting a multi-leaf collimator (MLC) in a treatment process according to a treatment plan or a portion thereof. The method may comprise: moving one or more leaves of a multi leaf collimator (MLC), and forming one or more closed leaf pairs in moving process, the moving including: obtaining an offset for each closed leaf pair of the one or more closed leaf pairs, wherein the offset is no larger than a predetermined threshold, and the predetermined threshold is determined in a treatment planning process that generates a radiation treatment plan; and causing the one or more closed leaf pairs to move based on one or more offsets corresponding to the one or more closed leaf pairs, before or during a implementation of the radiation treatment plan.

    ADMINISTRATION OF THERAPEUTIC RADIATION USING DEEP LEARNING MODELS TO GENERATE LEAF SEQUENCES
    65.
    发明公开
    ADMINISTRATION OF THERAPEUTIC RADIATION USING DEEP LEARNING MODELS TO GENERATE LEAF SEQUENCES 审中-公开

    公开(公告)号：US20230310892A1

    公开(公告)日：2023-10-05

    申请号：US17708272

    申请日：2022-03-30

    Applicant: Siemens Healthineers International AG

    Inventor： Shahab Basiri ,  Esa Kuusela

    IPC: A61N5/10 ,  G16H20/40 ,  G06N3/08

    CPC classification number: A61N5/1036 ,  A61N5/1047 ,  A61N5/1038 ,  G16H20/40 ,  G06N3/08

    Abstract: A memory has stored therein a fluence map that corresponds to a particular patient and a deep learning model. The deep learning model is trained to deduce a leaf sequence for a multi-leaf collimator from a fluence map. The deep learning model comprises a neural network model that was trained, at least in part, via a reinforcement learning method. A control circuit accesses the memory and is configured to iteratively optimize a radiation treatment plan to administer the therapeutic radiation to the patient by, at least in part, generating a leaf sequence as a function of the deep learning model and the fluence map by employing a plurality of agents to each separately use the deep learning model to each generate a leaf sequence for only a single leaf pair of the multi-leaf collimator.

    METHODS TO OPTIMIZE COVERAGE FOR MULTIPLE TARGETS SIMULTANEOUSLY FOR RADIATION TREATMENTS
    68.
    发明申请
    METHODS TO OPTIMIZE COVERAGE FOR MULTIPLE TARGETS SIMULTANEOUSLY FOR RADIATION TREATMENTS 审中-公开

    公开(公告)号：US20190240507A1

    公开(公告)日：2019-08-08

    申请号：US15890051

    申请日：2018-02-06

    Applicant: Varian Medical Systems International AG

    Inventor： Esa Kuusela ,  Emmi Ruokokoski ,  Santtu Ollila ,  Janne Nord ,  Jarkko Peltola

    IPC: A61N5/10

    CPC classification number: A61N5/1031 ,  A61N5/1036 ,  A61N5/1045 ,  A61N5/1047 ,  A61N5/1069

    Abstract: A cost function is constructed so as to guide an optimization process to achieve similar coverage for all targets simultaneously in a concurrent radiation treatment of multiple targets, so that a single scaling factor may be used in a plan normalization to achieve the desired coverage for all the targets. The cost function includes a component that favors a solution that attains similar target coverages for all targets, as well as a component that favors a solution that approaches the desired target coverage value for each individual target. The cost function includes a max term relating to deficiencies of actual target coverages with respect to a desired target coverage, or alternatively a soft-max term relating to deviations of actual target coverages with respect to an average target coverage, as well as to deficiencies of actual target coverages with respect to a desired target coverage.

Patent Agency Ranking