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1.发明申请
公开(公告)号：WO2020201037A1
公开(公告)日：2020-10-08
申请号：PCT/EP2020/058636
申请日：2020-03-27
发明人： NEUKIRCHEN, Christoph , ISOLA, Alfonso Agatino , HEESE, Harald Sepp , VIK, Torbjoern , WEESE, Rolf Jürgen , BAL, Matthieu Frédéric
摘要： A device for optimizing a radiation therapy plan (30) for delivering therapeutic radiation to a patient using a therapeutic radiation source (16) while modulated by a multi-leaf collimator (MLC) (14) includes at least one electronic processor (25) connected to a radiation therapy device (12). A non-transitory computer readable medium (26) stores instructions readable and executable by the at least one electronic processor to perform a radiation therapy plan optimization method (102) including: optimizing MLC settings of the MLC respective to an objective function wherein the MLC settings define MLC leaf tip positions for a plurality of rows of MLC leaf pairs at a plurality of control points (CPs). The optimizing is performed in two or more iterations with a resolution of the MLC settings increasing in successive iterations.
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公开(公告)号：WO2022008392A1
公开(公告)日：2022-01-13
申请号：PCT/EP2021/068426
申请日：2021-07-05
发明人： BONDAR, Maria Luiza , WEESE, Rolf Jürgen , VIK, Torbjoern , BROSCH, Tom , WIEGERT, Jens , HEESE, Harald Sepp
IPC分类号： A61N5/10
摘要： A computing system and related method for supporting in particular adaptive radiation therapy. An input interface (IN) of the system receives an input image. A machine learning module (MLM) predicts, based on the input image, a predicted dose distribution associated with a first planning technique or a first treatment modality. A comparator (COMP) compares a planned dose distribution as per a current treatment plan with the predicted dose distribution, to obtain a comparison result. The result allows user to gauge whether an actual re-planning would yield a dosimetric benefit before committing time or computational resources.
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3.发明申请
公开(公告)号：WO2021110495A1
公开(公告)日：2021-06-10
申请号：PCT/EP2020/083266
申请日：2020-11-25
IPC分类号： A61N5/10
摘要： The invention relates to a system for determining a radiation therapy plan for a radiation therapy system (100), comprising a multi-leaf collimator. The radiation therapy plan determination system (110) comprises a therapy system characteristics providing unit (111), wherein the characteristics comprise possible leaf positions and possible radiation fluence values, a planning objectives providing unit (112), wherein the planning objectives are indicative of a desired therapeutic radiation dose distribution, an optimization function providing unit (113), wherein the optimization function is indicative of a deviation of a radiation dose distribution from the planning objectives and of an uncertainty of the radiation dose distribution at edges of the possible apertures, and a therapy plan optimization unit (114) adapted to determine a sequence of possible apertures and possible radiation fluence values for which the optimization function is optimized. Thus, an optimal therapy plan can be provided for each individual patient.
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公开(公告)号：WO2016046683A3
公开(公告)日：2016-03-31
申请号：PCT/IB2015/056884
申请日：2015-09-09
发明人： VIK, Torbjoern , HEESE, Harald Sepp , BYSTROV, Daniel , WEESE, Juergen , NEUKIRCHEN, Christoph , ISOLA, Alfonso Agatino , BAL, Matthieu Frederic
IPC分类号： A61N5/10
摘要： A radiation planning system includes a predictor-corrector optimizer unit which computes a predicted dose based on a collection of control points with a current approximate dose, each control point with a corresponding set of leaf positions, and determines an additional control point with a corresponding set of leaf positions based on a difference of the predicted fluence and the current approximate fluence through a least cost or shortest path in a layered graph structure of realizable leaf positions. Tools are described to help a planner to evaluate the effect of parameter changes to the current plan based on an identified zone of influence. The planner interactively views the current plan based on a visualization of the plan objectives and correlations between the objectives.
摘要翻译： 辐射计划系统包括预测器校正器优化器单元，其基于具有当前近似剂量的控制点的集合来计算预测剂量，每个控制点具有对应的一组叶位置，并且确定 基于预测能量密度和当前近似注量的差异，通过可实现叶位置的分层图结构中的最小代价或最短路径，确定具有对应的一组叶位置的附加控制点。 描述的工具可帮助规划人员根据确定的影响区域评估参数更改对当前规划的影响。 规划师根据计划目标的可视化和目标之间的相关性交互式地查看当前计划。
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公开(公告)号：WO2015189303A1
公开(公告)日：2015-12-17
申请号：PCT/EP2015/062994
申请日：2015-06-11
IPC分类号： G06T7/00
CPC分类号： G06T7/11 , G06T7/136 , G06T7/194 , G06T2207/20101
摘要： The present invention relates to a device for segmenting an image (12) of a subject (14) comprising a data interface (16) for receiving an image (12) of said subject (14) and at least one contour (18) or at least one part of a contour (18), said contour (18) indicating a structure (19) within said image (12), a selection unit (20) for selecting a region(22) in said image (12) divided into a first and a second disjoint part (24, 26) by said contour (18) or said part of said contour (18),said selected region (22) comprising a drawn region and/or a computed region, a classifier (28) for classifying said selected region (22) based on at least one parameter for image segmentation, an analysis unit (29) for defining an objective function based on the classification result, an optimizer (30) for optimizing said parameter set by varying an output of said objective function and an image segmentation unit (32) for segmenting said image (12) using said optimized parameter set.
摘要翻译： 本发明涉及一种用于分割对象（14）的图像（12）的设备，包括用于接收所述被摄体（14）的图像（12）的数据接口（16）和至少一个轮廓（18）或在 轮廓（18）的至少一部分，所述轮廓（18）指示所述图像（12）内的结构（19）;选择单元（20），用于选择所述图像（12）中被划分为 第一和第二不相交部分（24,26）由所述轮廓（18）或所述轮廓（18）的所述部分，所述选择的区域（22）包括绘制区域和/或计算区域，分类器（28） 基于用于图像分割的至少一个参数对所述选择区域（22）进行分类;基于所述分类结果定义目标函数的分析单元（29）;优化器（30），用于通过改变所述分类结果的输出来优化所述参数集; 目标函数和用于使用所述优化参数集分割所述图像（12）的图像分割单元（32）。
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公开(公告)号：WO2015128775A1
公开(公告)日：2015-09-03
申请号：PCT/IB2015/051154
申请日：2015-02-17
CPC分类号： G06T7/0034 , G06K9/6255 , G06K2009/2045 , G06K2209/05 , G06T7/32 , G06T7/35 , G06T2207/10081 , G06T2207/20076 , G06T2207/20081 , G06T2207/30004
摘要： A method includes obtaining a single training image from a set of training images in a data repository. The method further includes generating an initial tissue class atlas based on the obtained single training image. The initial tissue class atlas includes two or more different tissue class images corresponding to two or more different tissue classes. The method further includes registering the remaining training images of the set of training images to the initial tissue class atlas. The method further includes generating a quality metric for each of the registered images. The method further includes evaluating the quality metric of each of the registered image with a predetermined evaluation criterion. The method further includes identifying a sub-set of images from the set of training images that satisfy the evaluation criterion. The method further includes generating a subsequent tissue class atlas based on the identified sub-set of the set of training images.
摘要翻译： 一种方法包括从数据存储库中的一组训练图像获得单个训练图像。 该方法还包括基于获得的单个训练图像生成初始组织类图集。 初始组织类图集包括对应于两个或多个不同组织类别的两个或更多个不同的组织分类图像。 该方法还包括将该组训练图像的剩余训练图像登记到初始组织分类图集。 该方法还包括为每个登记图像生成质量度量。 该方法还包括以预定的评估标准评估每个登记图像的质量度量。 该方法还包括从满足评估标准的训练图像集合中识别图像的子集。 该方法还包括基于所识别的该组训练图像的子集来生成随后的组织分类图集。
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公开(公告)号：WO2023088638A1
公开(公告)日：2023-05-25
申请号：PCT/EP2022/079519
申请日：2022-10-24
发明人： HEESE, Harald Sepp , VIK, Torbjoern , ISOLA, Alfonso Agatino , BONDAR, Maria Luiza , BROSCH, Tom , BAL, Matthieu Frédéric
摘要： System (OGS) and related method for generating an objective function for use in radiation treatment, RT, planning. The system may include a machine learning model (M) and a training system (TS) for training the model (M) based on training data. The training data may include previous (at least partial) RT plans, and a user awarded ranking thereof. The model, once trained, may be used as the objective function. The system allows a user to turn, in a defined manner, clinical objectives or goals into a computable objective function which can be used for RT planning.
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公开(公告)号：WO2017149107A1
公开(公告)日：2017-09-08
申请号：PCT/EP2017/054981
申请日：2017-03-03
发明人： BYSTROV, Daniel , VIK, Torbjoern , FRANZ, Astrid, Ruth , HEESE, Harald, Sepp , WIEMKER, Rafael , KUTRA, Dominik, Benjamin
IPC分类号： G06F19/00
摘要： A system and a method are provided for enabling a user to interactively navigate through a set of slice images, the set of slice images jointly representing an image volume showing an anatomical structure of a patient. A user may be enabled to switch from a static viewing mode to a navigation mode based on navigation commands received from a user input device operable by the user. A display processor may be configured for, in the static viewing mode, generating an output image comprising one slice image of the set of slice images. The display processor may be configured for, in the navigation mode, replacing the said one slice image in the output image by a volume rendering of a slab of the image volume, the slab comprising more than one slice image. The system and method thus selectively switch to volume rendering, namely during navigation, whereas in a static (i.e., non-navigation) viewing mode, a slice image is shown. Advantageously, the user may thus follow structures more accurately when navigate through a volume image, thereby more quickly and accurately identifying slice images of interest.
摘要翻译： 提供了一种系统和方法，用于使用户能够交互式地浏览一组切片图像，该组切片图像共同表示显示患者的解剖结构的图像体积。 基于从用户可操作的用户输入设备接收的导航命令，用户可以被启用以从静态观看模式切换到导航模式。 显示处理器可以被配置用于在静态观看模式下生成包括该组切片图像中的一个切片图像的输出图像。 显示处理器可以被配置用于在导航模式中通过对图像体积的板坯进行体绘制来替换输出图像中的所述一个切片图像，所述板包括多于一个切片图像。 因此，系统和方法选择性地切换到体绘制，即在导航期间，而在静态（即，非导航）观看模式下，示出切片图像。 有利的是，用户因此可以在通过体积图像导航时更精确地跟随结构，从而更快速和准确地识别感兴趣的切片图像。
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公开(公告)号：WO2019185499A1
公开(公告)日：2019-10-03
申请号：PCT/EP2019/057353
申请日：2019-03-25
发明人： HEESE, Harald, Sepp , VIK, Torbjoern , WEESE, Rolf, Jürgen , ISOLA, Alfonso, Agatino , NEUKIRCHEN, Christoph , BAL, Matthieu, Frédéric
摘要： The invention relates to a planning system (7) for planning a volumetric modulated arc radiation therapy procedure, wherein the volumetric modulated arc radiation therapy procedure includes rotating a radiation source (2), which is configured to emit a radiation beam (3) for treating a subject (4), along an arc around the subject, in order to apply the radiation beam to the subject in different treatment directions. A sequence of sub-arcs groups is provided, wherein a respective sub-arcs group comprises several sub-arcs of the arc, which are evenly distributed along the arc, wherein a treatment plan is generated by sequentially determining for each sub-arcs group treatment parameters, which define a property of the radiation beam, in the provided sequence. Determining the treatment parameters by using this sequence leads to an increased likelihood that really an optimal treatment plan is generated.
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