METHOD OF OPTIMIZING COLLIMATOR TRAJECTORY IN VOLUMETRIC MODULATED ARC THERAPY
    1.
    发明申请
    METHOD OF OPTIMIZING COLLIMATOR TRAJECTORY IN VOLUMETRIC MODULATED ARC THERAPY 审中-公开
    体位调制电弧疗法中矫形器轨迹的优化方法

    公开(公告)号:WO2018083072A1

    公开(公告)日:2018-05-11

    申请号:PCT/EP2017/077830

    申请日:2017-10-30

    Abstract: In a continuous arc radiation therapy planning method for planning a radiation therapy session parameterized by a set of parameters for control points (CPs) along at least one radiation source arc, a geometric optimization (40) is performed that does not include calculating radiation absorption profiles to generate optimized values for a sub-set of the parameters. After the geometric optimization, a main optimization (42) is performed that includes calculating radiation absorption profiles. The main optimization is performed with the sub-set of parameters initialized to the optimized values from the geometric optimization. The sub-set of parameters optimized by the geometric optimization may include collimator angle parameters for a multileaf collimator (MLC) (58). The geometric optimization may optimize a cost function comprising a sum over the CPs of a per-CP cost function dependent on a target-only region (62) defined as a planning target volume excluding any portion overlapping an organ at risk.

    Abstract translation: 在用于规划由沿着至少一个辐射源弧的控制点(CP)的一组参数所参数化的放射治疗会话的连续弧放射治疗计划方法中,执行几何优化(40) 其不包括计算辐射吸收曲线以生成用于参数子集的优化值。 在几何优化之后,执行包括计算辐射吸收分布的主要优化(42)。 主要优化是通过从几何优化初始化为优化值的参数子集来执行的。 通过几何优化优化的参数子集可以包括用于多叶准直器(MLC)(58)的准直器角度参数。 几何优化可以优化成本函数,该成本函数包括取决于仅限于目标的区域(62)的每CP成本函数的CP的总和,所述目标区域(62)被定义为计划目标体积,排除与风险器官重叠的任何部分。

    METHOD OF SELECTING BEAM GEOMETRIES
    2.
    发明申请
    METHOD OF SELECTING BEAM GEOMETRIES 审中-公开
    选择光束几何的方法

    公开(公告)号:WO2016188754A1

    公开(公告)日:2016-12-01

    申请号:PCT/EP2016/060572

    申请日:2016-05-11

    CPC classification number: A61N5/1031 A61N5/1045 A61N5/1048 A61N2005/1092

    Abstract: The invention relates to a method of selecting a set of beam geometries for use in radiation therapy. The method (10) comprises providing (12) a plurality of candidate beam geometries; optimizing (1) a radiation treatment plan with all candidate beam geometries; and computing (14) a cost function value based on all candidate beam geometries. A first beam geometry from the plurality of candidate beam geometries is removed (15) and a first modified cost function value based on the candidate beam geometries without the removed first beam geometry computed (16). The first beam geometry is restored (17). The steps of removing a beam geometry, computing of a modified cost function value and restoring of the removed beam geometry are repeated (R) for all other candidate beam geometries. One or more beam geometries from the plurality of candidate beam geometries based on the modified cost function values are chosen (19).

    Abstract translation: 本发明涉及一种选择用于放射治疗的一组光束几何形状的方法。 方法(10)包括提供(12)多个候选波束几何形状; 优化(1)具有所有候选梁几何形状的辐射治疗计划; 以及基于所有候选波束几何计算(14)成本函数值。 从多个候选波束几何形状的第一波束几何被去除(15)和基于候选波束几何形状的第一修改的成本函数值,而没有计算出去除的第一波束几何(16)。 第一个光束几何被恢复(17)。 对于所有其他候选光束几何,重复(R)去除光束几何形状,修改的成本函数值的计算和已除去的光束几何的恢复的步骤。 选择基于修改的成本函数值的来自多个候选波束几何的一个或多个波束几何形状(19)。

    INTENSITY MODULATED PROTON THERAPY (IMPT) PLAN OPTIMIZATION BASED AT LEAST ON INTERNAL ORGAN ANTICIPATED MOVEMENT AND/OR EXPECTED DEFORMATION
    3.
    发明申请
    INTENSITY MODULATED PROTON THERAPY (IMPT) PLAN OPTIMIZATION BASED AT LEAST ON INTERNAL ORGAN ANTICIPATED MOVEMENT AND/OR EXPECTED DEFORMATION 审中-公开
    基于内部器官预期运动和/或预期变形的强度调制质子治疗(IMPT)优化

    公开(公告)号:WO2017109632A1

    公开(公告)日:2017-06-29

    申请号:PCT/IB2016/057523

    申请日:2016-12-12

    CPC classification number: A61N5/1037 A61N2005/1087

    Abstract: A method includes generating a nominal dose distribution based on an image and clinical goals. The method further includes generating a setup error dose distribution based on range and setup uncertainties. The method further includes generating a dose distribution for a parameter of an internal organ. The method further includes optimizing a planned dose distribution of an intensity modulated proton therapy plan by minimizing a total objective value including the nominal dose distribution, the setup error dose distribution dose distribution,and the dose distribution for the internal organ. The method further includes generating a final dose distribution for the intensity modulated proton therapy plan based on beam parameters of the optimized planned dose distribution. The method further includes controlling a proton therapy apparatus configured to deliver proton therapy based on the intensity modulated proton therapy plan with the optimized planned dose distribution.

    Abstract translation: 一种方法包括基于图像和临床目标生成标称剂量分布。 该方法进一步包括基于范围和设置的不确定性来生成建立误差剂量分布。 该方法还包括生成内部器官参数的剂量分布。 该方法还包括通过最小化包括标称剂量分布,设置误差剂量分布剂量分布和内部器官的剂量分布的总目标值来优化调强质子治疗计划的计划剂量分布。 该方法进一步包括基于优化的计划剂量分布的射束参数为强度调制的质子治疗计划生成最终剂量分布。 该方法进一步包括控制质子治疗设备,该质子治疗设备被配置为基于具有优化的计划剂量分布的强度调制质子治疗计划来递送质子治疗。

    INTENSITY MODULATED PARTICLE THERAPY PLAN NORMALIZATION SCHEME

    公开(公告)号:WO2020239669A1

    公开(公告)日:2020-12-03

    申请号:PCT/EP2020/064395

    申请日:2020-05-25

    Abstract: A method and system for normalizing an IMPT plan are provided as well as an arrangement for planning IMPT and a computer program product comprising instructions to perform the method. The method comprises the steps of: receiving an IMPT plan for a subject to be treated, receiving anatomical image data of the subject comprising at least one ROI, and receiving at least one clinical goal associated with the ROI. The method further comprises identifying one or more deficiency areas of the IMPT plan within the ROI where the clinical goal is not met, and identifying the particle spots of the IMPT plan that are associated with the identified deficiency areas as critical particle spots. When the critical spots have been identified, the method comprises normalizing at least one of the deficiency areas by adjusting the intensity of the critical particle spots.

    RADIATION THERAPY INTERACTIVE PLANNING
    6.
    发明申请
    RADIATION THERAPY INTERACTIVE PLANNING 审中-公开
    辐射疗法交互式规划

    公开(公告)号:WO2017178257A1

    公开(公告)日:2017-10-19

    申请号:PCT/EP2017/057793

    申请日:2017-04-01

    Abstract: A radiation therapy system (100) includes a radiation therapy (RT) optimizer unit (102) and an interactive planning interface unit (120). The RT optimizer unit (102) receives at least one target structure and at least one organ-at-risk (OAR) structure segmented from a volumetric image (108), and generates an optimized RT plan (140) based on dose objectives (200-204, 210-222, 320), at least one dose objective of the dose objectives corresponding to each of the at least one target structure (210-222) and the at least one OAR structure (200-204). The optimized RT plan includes a planned radiation dose for each voxel of the volumetric image using external beam radiation therapy, wherein the RT optimizer unit operates iteratively. The interactive planning interface unit (120) interactively controls each of the dose objectives through controls (300) displayed on a single display (126) of a display device (124), operates the RT optimizer unit to iteratively compute the planned radiation dose according to the controls, and provide visual feedback (310, 134) on the single display according to progress of the RT optimizer unit after each trial.

    Abstract translation: 放射疗法系统(100)包括放射疗法(RT)优化器单元(102)和交互式计划接口单元(120)。 RT优化器单元(102)接收至少一个目标结构和从体积图像(108)分割的至少一个风险器官(OAR)结构,并且基于剂量目标(200)产生优化的RT计划(140) 所述剂量目标的至少一个剂量目标对应于所述至少一个目标结构(210-222)和所述至少一个OAR结构(200-204)中的每一个。 优化的RT计划包括使用外部束放射疗法对体积图像的每个体素计划的辐射剂量,其中RT优化器单元迭代地操作。 交互式计划界面单元(120)通过在显示设备(124)的单个显示器(126)上显示的控件(300)来交互式地控制每个剂量目标,操作RT优化器单元以根据以下方式迭代地计算计划的辐射剂量 控制,并根据RT优化器单元在每次试验之后的进展在单个显示器上提供视觉反馈(310,134)。

    A METHOD TO REDUCE LOCAL HOT/COLD SPOTS IN DMPO-BASED IMRT PLANNING
    7.
    发明申请
    A METHOD TO REDUCE LOCAL HOT/COLD SPOTS IN DMPO-BASED IMRT PLANNING 审中-公开
    一种减少基于DMPO IMRT规划的局部热/冷点的方法

    公开(公告)号:WO2016092441A1

    公开(公告)日:2016-06-16

    申请号:PCT/IB2015/059375

    申请日:2015-12-04

    CPC classification number: A61N5/1031 A61N5/1081 A61N2005/1074 A61N2005/1089

    Abstract: A method and related system to adjust an existing treatment plan. A second optimization is run based on a dual objective function system that includes a first objective function used for the optimization in respect of the existing plan and a second, extended objective function that includes the said first objective function as a functional component.

    Abstract translation: 调整现有治疗计划的方法和相关制度。 基于双目标函数系统执行第二优化,所述双目标函数系统包括用于关于现有计划的优化的第一目标函数和包括作为功能组件的所述第一目标函数的第二扩展目标函数。

    LOWER TO HIGHER RESOLUTION IMAGE FUSION
    8.
    发明申请

    公开(公告)号:WO2019211334A1

    公开(公告)日:2019-11-07

    申请号:PCT/EP2019/061154

    申请日:2019-05-01

    Abstract: The present invention relates to image fusion of lower resolution images (32) and higher resolution reference images (50) of an object (30). Specific image scanning geometries used for acquiring the lower resolution images (32) are determined based on a machine learning algorithm that uses at least one feature in at least one region of interest in the respective lower resolution images (32) as input. Image scanning geometry matching oblique higher resolution images (54) are generated based on the higher resolution reference images (50) and the determined specific image scanning geometries used for acquiring the respective lower resolution images (32). The oblique higher resolution images (54) are registered with the lower resolution images (32) in order to generate registered higher resolution images. Current feature information is extracted from the lower resolution images and mapped on corresponding feature information in the registered higher resolution images in order to generate fusion images.

    DECISION SUPPORT TOOL FOR ADAPTIVE RADIOTHERAPY IN CT/LINAC CONSOLE

    公开(公告)号:WO2019185378A1

    公开(公告)日:2019-10-03

    申请号:PCT/EP2019/056641

    申请日:2019-03-18

    Abstract: A radiation therapy delivery device console (50) controls a radiation therapy delivery device (36) and an imaging device (40, 42), and further performs adaptive radiotherapy (ART) recommendation as follows. The imaging device is controlled to acquire a current image (44) of a patient. At least one perturbation of the current image is determined compared with a radiation therapy planning image (1) from which a radiation therapy plan (22) for the patient has been generated. An ART recommendation score is computed, indicating whether ART should be performed, based on the determined at least one perturbation. A recommendation is displayed as to whether ART should be performed based on the computed ART recommendation score, or an alarm is displayed conditional upon the computed ART recommendation score satisfying an ART recommendation criterion.

    ROBUST BROAD BEAM OPTIMIZATION FOR PROTON THERAPY
    10.
    发明申请
    ROBUST BROAD BEAM OPTIMIZATION FOR PROTON THERAPY 审中-公开
    质子治疗的鲁棒宽束优化

    公开(公告)号:WO2017216219A1

    公开(公告)日:2017-12-21

    申请号:PCT/EP2017/064524

    申请日:2017-06-14

    Abstract: A robustness optimization is disclosed for a broad beam proton therapy plan. A nominal dose distribution (62) is computed, to be delivered to a volume by performing proton therapy on the volume according to a proton therapy plan (50) having parameters (52) defining a range compensator shape and a range band. The parameters of the proton therapy plan are adjusted to reduce a difference between the nominal dose distribution (62) and a perturbed dose distribution calculated to be delivered to the volume modified by an error scenario (64) by performing proton therapy on the volume modified by the error scenario in accordance with the proton therapy plan with the parameters adjusted by the adjusting operation. The adjusting may be repeated serially for each error scenario of a set of error scenarios (44) to produce a proton therapy plan that is robust for any of these error scenarios.

    Abstract translation: 针对宽束质子治疗计划公开了鲁棒性优化。 根据具有限定范围补偿器形状和范围带的参数(52)的质子治疗计划(50),计算标称剂量分布(62),以通过对该体积进行质子治疗来递送至体积。 对质子治疗计划的参数进行调整以减少标称剂量分布(62)与计算为通过对经修改的体积执行质子治疗而由错误情景(64)修改的体积递送的扰动剂量分布之间的差异 根据质子治疗计划的错误情况,并通过调整操作调整参数。 对于一组错误情景(44)中的每个错误情景,可以连续重复该调整以产生对于这些错误情景中的任何一个都稳健的质子治疗计划。

Patent Agency Ranking