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公开(公告)号：US10765891B2
公开(公告)日：2020-09-08
申请号：US16172958
申请日：2018-10-29
发明人： Alfonso Agatino Isola , Rolf Jürgen Weese , Christoph Neukirchen , Steffen Renisch , Hrishikesh Narayanrao Deshpande , Heinrich Schulz , Sven Kabus , Stéphane Allaire , Maria Luiza Bondar
摘要： The invention relates to a system and a method for evaluating a treatment plan for an external radiation therapy treatment, the treatment plan comprising parameters for controlling an external radiation therapy apparatus during the treatment. The system comprises a database storing historic treatment plans and storing for each historic treatment plan a quality parameter indicative of whether a deviation between a planned dose distribution and a measured dose distribution resulting from an execution of the treatment plan is within an acceptable limit. An evaluation unit determines a threshold value for each of a plurality of treatment plan metrics based on the historic treatment plans and the associated quality parameters. Further, the evaluation unit calculates a value of each of the metrics for the treatment plan and compares the value of each of the metrics with the threshold value determined for the respective metric.
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公开(公告)号：US10134142B2
公开(公告)日：2018-11-20
申请号：US15314527
申请日：2015-06-11
发明人： Daniel Bystrov , Heinrich Schulz , Torbjoern Vik
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.
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公开(公告)号：US10114098B2
公开(公告)日：2018-10-30
申请号：US15300052
申请日：2015-03-17
摘要： A pseudo CT Hounsfield Unit value for a volume element within a subject is estimated from a plurality of magnetic resonance images having different contrasts. The method includes determining a relative prevalence of a first tissue class and second tissue class within the volume element from a first magnetic resonance image and a second magnetic resonance image, respectively. Then a relative prevalence of a third tissue class is determined within the volume element based on substraction of a relative prevalence of the first and/or second tissue class from a total tissue prevalence. A reference Hounsfield Unit value is provided for the first, second and third tissue class. Finally, a pseudo Housfield value is estimated for the volume element by determining a weighted sum of the first, second and third reference Hounsfield unit value, with weight factors which are based on the determined relative prevalences of the first, second and third tissue class.
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公开(公告)号：US20160375268A1
公开(公告)日：2016-12-29
申请号：US14992467
申请日：2016-01-11
CPC分类号： A61N5/1039 , A61B5/055 , A61B6/032 , A61B6/037 , A61N5/103 , G06F19/00 , G06F19/321 , G06F19/3481 , G16H50/50
摘要： A therapy planner (16) is configured to construct a therapy plan based on a planning image segmented into segments delineating features of a subject. A predictive plan adaptation module (20) is configured to adjust the segments to represent a foreseeable change in the subject and to invoke the therapy planner to construct a therapy plan corresponding to the foreseeable change. A data storage (18) stores a plurality of therapy plans generated for a subject by the therapy planner and the predictive plan adaptation module based on at least one planning image of the subject. A therapy plan selector (30) is configured to select one of the plurality of therapy plans for use in a therapy session based on a preparatory image acquired preparatory to the therapy session.
摘要翻译： 治疗计划器（16）被配置为基于划分为描绘对象的特征的段的规划图像来构建治疗计划。 预测计划适应模块（20）被配置为调整所述段以表示所述受试者的可预见的变化，并且调用所述治疗计划者以构建对应于所述可预见的变化的治疗计划。 数据存储器（18）基于所述对象的至少一个规划图像来存储由所述治疗计划器和所述预测计划调整模块为对象生成的针对对象的多个治疗计划。 治疗计划选择器（30）被配置为基于获得准备治疗会话的准备图像来选择用于治疗会话的多个治疗计划中的一个。
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公开(公告)号：US20150036900A1
公开(公告)日：2015-02-05
申请号：US14374923
申请日：2013-01-28
CPC分类号： G06T7/143 , G06K9/6206 , G06T7/12 , G06T2207/10072 , G06T2207/20076 , G06T2207/20096 , G06T2207/20128 , G06T2207/20216 , G06T2207/30004
摘要： The invention relates to a labeling apparatus (1) for labeling structures of an object shown in an object image. A probability map providing unit (3) provides a probability map, the probability map indicating for different labels, which are indicative of different structures of the object, and for different positions in the probability map the probability that the respective structure, which is indicated by the respective label, is present at the respective position, wherein the probability depends on the position in the probability map. The probability map is mapped to the object image by a mapping unit (4), wherein a label assigning unit (5) assigns to a provided contour, which represents a structure in the object image, a label based on the mapped probability map. This allows automatically labeling structures of the object, which are indicated by provided contours in the object image, with relatively low computational efforts.
摘要翻译： 本发明涉及一种用于标记物体图像中所示物体的结构的标签装置（1）。 概率图提供单元（3）提供概率图，指示不同标签的概率图，其指示对象的不同结构，并且对于概率图中的不同位置，提供由 相应的标签存在于相应位置，其中概率取决于概率图中的位置。 通过映射单元（4）将概率图映射到对象图像，其中，标签分配单元（5）基于映射的概率图来分配表示对象图像中的结构的提供的轮廓。 这允许以相对低的计算量来自动地标记在对象图像中由提供的轮廓指示的对象的结构。
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公开(公告)号：US11562487B2
公开(公告)日：2023-01-24
申请号：US16756633
申请日：2018-10-15
摘要： A controller for preparing an image for segmenting includes a memory that stores instructions, and a processor that executes the instructions. When executed by the processor, the instructions cause the controller to perform a process that includes displaying a first modeled tissue structure of a first type, and displaying an image of a first tissue structure of the first type separate from the first modeled tissue structure. The process also includes identifying, on the first modeled tissue structure, landmarks on the first modeled tissue structure for identification on the image of the first tissue structure, and sequentially accentuating each landmark on the first modeled tissue structure. The processor identifies locations on the image of the first tissue structure for each landmark on the first modeled tissue structure. The landmarks on the first modeled tissue structure are mapped to the locations identified on the image of the first tissue structure.
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公开(公告)号：US10083510B2
公开(公告)日：2018-09-25
申请号：US15116687
申请日：2015-02-17
CPC分类号： G06T7/32 , G06K9/6255 , G06K2009/2045 , G06K2209/05 , 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.
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公开(公告)号：US20180147419A1
公开(公告)日：2018-05-31
申请号：US15575826
申请日：2016-06-06
IPC分类号： A61N5/10
CPC分类号： A61N5/1049 , A61B2090/378 , A61N5/107 , A61N2005/1058
摘要： It is an object of the invention to provide for a system, method and computer program product enabling monitoring of effects of intrafraction motion during the radio therapy treatment. According to a first aspect of the invention this object is achieved by an ultrasound guided radiotherapy system, comprising a radiotherapy system configured for providing a radiation treatment by means of a radiation beam to a treatment target. The ultrasound guided radiotherapy system further comprises an ultrasound imaging system configured for acquiring a 3D online image of the treatment target and/or an organ at risk during the radiation treatment. It further comprises detection means configured for detection, in the 3D online image, parts representing the treatment target and/or organ at risk and selection means configured for selecting a view plane through the treatment target and/or an organ at risk represented by the detected parts in the 3D online image and a display configured to display a 2D image of part of the treatment target and/or organ at risk along the view plane, wherein the display is further configured to display a treatment margin and/or an outline of an actual radiation beam in relation to the treatment target and/or organ at risk.
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公开(公告)号：US20230394652A1
公开(公告)日：2023-12-07
申请号：US18031889
申请日：2021-10-11
发明人： Nicola Pezzotti , Christian Wuelker , Tim Nielsen , Karsten Sommer , Michael Grass , Heinrich Schulz , Sergey Kastryulin
IPC分类号： G06T7/00
CPC分类号： G06T7/0012 , G06T2207/20084 , G06T2207/20081
摘要： Disclosed herein is a medical system (100, 300, 400) comprising a memory (110) storing a trainable machine learning module (122) trained using training data descriptive of a training data distribution (600) to output a reconstructed medical image (136) in response to receiving measured medical image data (128) as input. The medical system comprises a computational system (104). The execution of machine executable instructions (120) causes the computational system to: receive (200) the measured medical image data and determine (202) the out-of-distribution score and the in-distribution accuracy score consecutively in an order determined a sequence, detect (204) a rejection of the measured medical image data using the out-of-distribution score and/or the in-distribution accuracy score during execution of the sequence, provide (206) a warning signal (134) if the rejection of the measured medical image data is detected. The out-of-distribution score is determined by inputting the measured medical image data into the out-of-distribution estimation module. The in-distribution accuracy score is determined by inputting the measured medical image data into the in-distribution accuracy estimation module.
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公开(公告)号：US11633624B2
公开(公告)日：2023-04-25
申请号：US16558509
申请日：2019-09-03
摘要： A resource management system for better operation of a plurality of devices. The system comprises an input interface (IN) for receiving input data including one or more characteristics of at least one work object (P1-P3) and/or including context data. The at least one work object (P1-P3) can be processed by one or more processing devices (Mij). The said processing is specified in a respective work specification (S1-S3). A predictor component (PC) of the system is configured to predict, based on the input data, a change to the work specification. The system comprises an output interface (OUT) for providing output data that represents said predicted change.
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