Interactive mesh editing
    2.
    发明授权

    公开(公告)号:US10282917B2

    公开(公告)日:2019-05-07

    申请号:US15577355

    申请日:2016-06-29

    Abstract: A system and method are provided for interactive editing of a mesh which has been applied to a three-dimensional (3D) image to segment an anatomical structure shown therein. To facilitate the interactive editing of the applied mesh, a view of the 3D image is generated which shows a mesh part to be edited, with the view being established based on a local orientation of the mesh part. Advantageously, the view may be generated to be substantially orthogonally to the mesh part, or to a centerline of the anatomical structure which is determined as a function of the mesh part. Accordingly, an orthogonal view is established which facilitates the user in carrying out the editing action with respect to the mesh part. It is therefore not needed for the user to manually navigate through the 3D image to obtain a view which is suitable for mesh editing, which is typically time consuming.

    Brain tissue classification
    4.
    发明授权

    公开(公告)号:US10331981B2

    公开(公告)日:2019-06-25

    申请号:US15564263

    申请日:2016-04-25

    Abstract: A system and method are provided for brain tissue classification, which involves applying an automated tissue classification technique to an image of a brain based on a prior probability map, thereby obtaining a tissue classification map of the brain. A user is enabled to, using a user interaction subsystem, provide user feedback which is indicative of a) an area of misclassification in the tissue classification map and b) a correction of the misclassification. The prior probability map is then adjusted based on the user feedback to obtain an adjusted prior probability map, and the automated tissue classification technique is re-applied to the image based on the adjusted prior probability map. An advantage over a direct correction of the tissue classification map may be that the user does not need to indicate the area of misclassification or the correction of the misclassification with a highest degree of accuracy. Rather, it may suffice to provide an approximate indication thereof.

    Model-based segmentation of an anatomical structure

    公开(公告)号:US09824457B2

    公开(公告)日:2017-11-21

    申请号:US14832029

    申请日:2015-08-21

    Abstract: A system (100) and method is provided for performing a model-based segmentation of an anatomical structure in a medical image of a patient. The medical image (022) is accessed. Moreover, model data (162) is provided which defines a deformable model for segmenting the type of anatomical structure. The model-based segmentation of the anatomical structure is performed by adapting the deformable model to the anatomical structure in the medical image using an adaptation technique. In accordance with the present invention, performing the model based segmentation further comprises determining from patient data (042) medical information which is predictive of an appearance of the anatomical structure in the medical image, and adjusting or setting a segmentation parameter based on the medical information so as to adjust the model-based segmentation to said predicted appearance of the anatomical structure in the medical image, the segmentation parameter being a parameter of i) the deformable model or ii) the adaptation technique. Advantageously, the system and method are enabled to better cope with the inter-patient and inter-disease-stage variability in the appearance of anatomical structures.

    MODEL-BASED SEGMENTATION OF AN ANATOMICAL STRUCTURE
    6.
    发明申请
    MODEL-BASED SEGMENTATION OF AN ANATOMICAL STRUCTURE 有权
    基于模型的分解结构分解

    公开(公告)号:US20160063726A1

    公开(公告)日:2016-03-03

    申请号:US14832029

    申请日:2015-08-21

    Abstract: A system (100) and method is provided for performing a model-based segmentation of an anatomical structure in a medical image of a patient. The medical image (022) is accessed. Moreover, model data (162) is provided which defines a deformable model for segmenting the type of anatomical structure. The model-based segmentation of the anatomical structure is performed by adapting the deformable model to the anatomical structure in the medical image using an adaptation technique. In accordance with the present invention, performing the model based segmentation further comprises determining from patient data (042) medical information which is predictive of an appearance of the anatomical structure in the medical image, and adjusting or setting a segmentation parameter based on the medical information so as to adjust the model-based segmentation to said predicted appearance of the anatomical structure in the medical image, the segmentation parameter being a parameter of i) the deformable model or ii) the adaptation technique. Advantageously, the system and method are enabled to better cope with the inter-patient and inter-disease-stage variability in the appearance of anatomical structures.

    Abstract translation: 提供了一种用于对患者的医学图像中的解剖结构执行基于模型的分割的系统(100)和方法。 医学图像(022)被访问。 此外,提供了模型数据(162),其定义了用于分割解剖结构类型的可变形模型。 解剖结构的基于模型的分割是通过使用适配技术将可变形模型适应于医学图像中的解剖结构来执行的。 根据本发明,执行基于模型的分割还包括从患者数据(042)确定预测医学图像中解剖结构的外观的医学信息,以及基于医学信息调整或设置分割参数 以便将基于模型的分割调整为医学图像中解剖结构的所述预测外观,分割参数是i)可变形模型或ii)适应技术的参数。 有利地,系统和方法能够更好地应对解剖结构外观中的患者间和疾病间阶段的变异性。

    Medical image editing
    10.
    发明授权

    公开(公告)号:US10586398B2

    公开(公告)日:2020-03-10

    申请号:US15537360

    申请日:2015-12-07

    Abstract: 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).

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