MEDICAL DATA COLLECTION FOR MACHINE LEARNING
    51.
    发明公开

    公开(公告)号:EP3709309A1

    公开(公告)日:2020-09-16

    申请号:EP19161895.8

    申请日:2019-03-11

    IPC分类号: G16H50/70 G16H30/40

    摘要: A system (100) and computer-implemented method are provided for data collection for distributed machine learning of a machine learnable model. A privacy policy data (050) is provided defining computer-readable criteria for limiting a selection of medical image data (030) to a subset of the medical image data to obfuscate an identity of the at least one patient. The medical image data is selected based on the computer-readable criteria to obtain privacy policy-compliant training data (060) for transmission to another entity. The system and method enable medical data collection at clinical sites without requiring manual oversight, and enables such selections to be made automatically, e.g., based on a request for medical image data which may be received from outside of the clinical site.

    VOLUME RENDERING OF VOLUMETRIC IMAGE DATA WITH INTERACTIVE SEGMENTATION

    公开(公告)号:EP3441944A1

    公开(公告)日:2019-02-13

    申请号:EP17185118.1

    申请日:2017-08-07

    IPC分类号: G06T15/08 G06T19/20 G06T7/12

    摘要: A system and method are provided for volume rendering of image data of an image volume. A segmentation model is applied to the image data of the image volume, thereby delineating a sub-volume of the image volume. The image data inside the sub-volume is volume rendered. A user interface is provided which enables a user to interactively adjust the sub-volume by applying at least one of: a push action and a pull action to the sub-volume. The push action may cause part of the sub-volume to be pulled inwards, whereas the pull action may cause part of the sub-volume to be pulled outwards. The volume rendering of the sub-volume may be updated in response to a user's adjustment of the sub-volume.

    MEDICAL IMAGE EDITING
    59.
    发明公开
    MEDICAL IMAGE EDITING 审中-公开
    医学图像编辑

    公开(公告)号:EP3234926A1

    公开(公告)日:2017-10-25

    申请号:EP15828520.5

    申请日:2015-12-07

    IPC分类号: G06T19/20 G06T7/00

    摘要: The present invention relates to medical image editing. In order to facilitate the medical image editing process, a medical image editing device (50) is provided that comprises a processor unit (52), an output unit (54), and an interface unit (56). The processor unit (52) is configured to provide a 3D surface model of an anatomical structure of an object of interest. The 3D surface model comprises a plurality of surface sub-portions. The surface sub-portions each comprise a number of vertices, and each vertex is assigned by a ranking value. The processor unit (52) is further configured to identify at least one vertex of vertices adjacent to the determined point of interest as an intended vertex. The identification is based on a function of a detected proximity distance to the point of interest and the assigned ranking value. The output unit (54) is configured to provide a visual presentation of the 3D surface model. The interface unit (56) is configured to determine a point of interest in the visual presentation of the 3D surface model by interaction of a user. The interface unit 56 is further configured to modify the 3D surface model by displacing the intended vertex by manual user interaction. In an example, the output unit (54) is a display configured to display the 3D surface model directly to the user (58).

    摘要翻译: 本发明涉及医学图像编辑。 为了便于医学图像编辑处理,提供了包括处理器单元(52),输出单元(54)和接口单元(56)的医学图像编辑装置(50)。 处理器单元(52)被配置为提供感兴趣对象的解剖结构的3D表面模型。 3D表面模型包括多个表面子部分。 表面子部分每个包括多个顶点,并且每个顶点由排序值分配。 处理器单元(52)还被配置为将与所确定的兴趣点相邻的顶点的至少一个顶点标识为预期的顶点。 该识别基于检测到的关于兴趣点的接近距离和分配的排名值的函数。 输出单元(54)被配置为提供3D表面模型的视觉呈现。 接口单元(56)被配置为通过用户的交互来确定3D表面模型的视觉呈现中的兴趣点。 接口单元56还被配置为通过手动用户交互来移动预期顶点来修改3D表面模型。 在一个示例中,输出单元(54)是被配置为将3D表面模型直接显示给用户(58)的显示器。

    ANALYZING AORTIC VALVE CALCIFICATION
    60.
    发明公开
    ANALYZING AORTIC VALVE CALCIFICATION 有权
    分析动脉瓣膜钙化

    公开(公告)号:EP3192050A1

    公开(公告)日:2017-07-19

    申请号:EP15763300.9

    申请日:2015-09-11

    IPC分类号: G06T7/00 G06T19/00

    摘要: A system and a method are provided for analyzing an image of an aortic valve structure to enable assessment of aortic valve calcifications. The system comprises an image interface for obtaining an image of an aortic valve structure, the aortic valve structure comprising aortic valve leaflets and an aortic bulbus. The system further comprises a segmentation subsystem for segmenting the aortic valve structure in the image to obtain a segmentation of the aortic valve structure. The system further comprises an identification subsystem for identifying a calcification on the aortic valve leaflets by analyzing the image of the aortic valve structure. The system further comprises an analysis subsystem configured for determining a centerline of the aortic bulbus by analyzing the segmentation of the aortic valve structure, and for projecting the calcification from the centerline of the aortic bulbus onto the aortic bulbus, thereby obtaining a projection indicating a location of the calcification as projected onto the aortic bulbus. The system further comprises an output unit for generating data representing the projection. Provided information on the accurate location of calcifications after a valve replacement may be advantageously used, for example, to effectively analyze the risk of paravalvular leakages of Transcatheter aortic valve implantation (TAVI) interventions for assessing the suitability of a patient for TAVI procedure.

    摘要翻译: 提供了用于分析主动脉瓣结构的图像以使得能够评估主动脉瓣钙化的系统和方法。 该系统包括用于获得主动脉瓣结构的图像的图像接口,该主动脉瓣结构包括主动脉瓣小叶和主动脉壁球。 该系统还包括分割子系统,用于分割图像中的主动脉瓣结构以获得主动脉瓣结构的分割。 该系统还包括识别子系统,用于通过分析主动脉瓣膜结构的图像来识别主动脉瓣膜小叶上的钙化。 该系统还包括分析子系统,该分析子系统被配置用于通过分析主动脉瓣结构的分割并且将钙化从主动脉bulbus的中心线投射到主动脉bulbus上来确定主动脉球囊的中心线,从而获得指示位置的投影 的钙化如投影到主动脉球囊。 该系统还包括用于生成表示投影的数据的输出单元。 提供关于瓣膜置换后钙化的准确位置的信息可以有利地用于例如有效地分析经导管主动脉瓣植入(TAVI)干预的瓣膜渗漏风险以评估患者对于TAVI程序的适合性。