METHOD AND SYSTEM FOR IMAGE PROCESSING
    1.
    发明申请

    公开(公告)号:WO2023001800A1

    公开(公告)日:2023-01-26

    申请号:PCT/EP2022/070156

    申请日:2022-07-19

    Abstract: According to an aspect, there is provided a computer implemented method for determining editing to be applied to a three-dimensional, 3D, mesh, wherein the 3D mesh represents a segmentation of a 3D image, the method comprising, responsive to receiving an indication of an adjustment to be applied to a first position on the 3D mesh in an editing plane of the 3D image, adjusting a point on a boundary of the 3D mesh in an editing region of the 3D mesh using an anisotropic weighting factor that restricts the adjustment made to the point if the point lies in a first direction relative to the editing plane.

    METHODS AND SYSTEMS FOR ADJUSTING THE FIELD OF VIEW OF AN ULTRASOUND PROBE

    公开(公告)号:WO2020187765A1

    公开(公告)日:2020-09-24

    申请号:PCT/EP2020/056913

    申请日:2020-03-13

    Abstract: The invention provides for a method for switching between fields of view of an ultrasound probe. The method begins by obtaining an anatomical model representing a region of interest of a subject and establishing a first field of view relative to an ultrasonic probe, wherein the first field of view comprises an initial portion of the region of interest. Ultrasound data is then obtained from the first field of view by way of the ultrasonic probe and a first anatomical feature is identified within the first field of view based on the ultrasound data. A location in digital space of the first field of view relative to the anatomical model is determined based on the first anatomical feature. A second field of view is then established based on the anatomical model and the first field of view, wherein the first field of view functions as a reference field of view. The field of view is then switched from the first field of view to the second field of view.

    MEDICAL IMAGE EDITING
    4.
    发明申请
    MEDICAL IMAGE EDITING 审中-公开
    医学图像编辑

    公开(公告)号:WO2016097920A1

    公开(公告)日:2016-06-23

    申请号:PCT/IB2015/059393

    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).

    Abstract translation: 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)的医学图像编辑设备(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。 表面子部分各自包括多个顶点,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识别为预期顶点。 该识别基于检测到的感兴趣的接近距离和所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还被配置为通过用手动用户交互来移位预期顶点来修改3D表面模型。 在一个示例中,输出单元(54)是被配置为直接向用户(58)显示3D表面模型的显示器。

    CORTICAL BONE SEGMENTATION FROM MR DIXON DATA

    公开(公告)号:WO2014203192A3

    公开(公告)日:2014-12-24

    申请号:PCT/IB2014/062421

    申请日:2014-06-19

    Abstract: The present invention relates to a method for segmenting MR Dixon image data. A processor and a computer program product are also disclosed for use in connection with the method. The invention finds application in the MR imaging field in general and more specifically may be used in the generation of an attenuation map to correct for attenuation by cortical bone during the reconstruction of PET images. In the method, a surface mesh is adapted to a region of interest by: for each mesh element in the surface mesh: selecting a water target position based on a water image feature response in the MR Dixon water image;selecting a fat target position based on a fat image feature response in the MR Dixon fat image; and displacing each mesh element from its current position to a new position based on both its water target position and its corresponding fat target position.

    IMAGE PROCESSING DEVICE, MEDICAL IMAGING SYSTEM AND COMPUTER PROGRAM ELEMENT

    公开(公告)号:WO2023066955A1

    公开(公告)日:2023-04-27

    申请号:PCT/EP2022/079017

    申请日:2022-10-19

    Abstract: The invention relates to an image processing device (3) comprising a data input unit (4) for receiving volumetric medical image data (7) organized in voxels and processing unit (5), wherein the volumetric medical image data (7) os spectral computed tomography data. The processing unit (5) is adapted to perform an automatic anatomical shape model segmentation (8) on the volumetric medical image data (7). It is further adapted to perform a determination of a first layer of interest (9) and of a second layer of interest (11). A first projection (10) of the first layer of interest (9) is performed, yielding perfusion information data, and a second projection (14) of the second layer of interest (11) is performed, yielding vascular information data. Finally, a graphical combination (15) of the perfusion information data and the vascular information data is performed, yielding combined information data (21). The invention further relates to a spectral computed tomography system (1) comprising an image processing device (3) and to a computer program element.

    IMAGE SEQUENCE ANALYSIS
    7.
    发明申请

    公开(公告)号:WO2022171416A1

    公开(公告)日:2022-08-18

    申请号:PCT/EP2022/051426

    申请日:2022-01-24

    Abstract: A system and method for achieving more accurate results when applying an image processing task to a series of medical images of a patient, without significantly increasing processing resource. The proposed system and method is based on receiving a plurality of image sequences of a particular anatomical region, each capturing cyclical movement of an anatomical object. Each image sequence is supplied to a classifier module which employs use of one or more machine learning algorithms to derive at least one score for each image sequence indicative of predicted success or quality of a result of the image processing task if applied to the given image series. This permits an assessment to be made in advance of which of the plurality of image series is most likely to result in the best (e.g. highest quality, or greatest amount of information) results from the image processing task. This allows maximization of the quality of image processing results, without the need to actually process each of the image series with the image processing task, which would consume a large amount of processing resource and consume time.

    METHODS AND SYSTEMS FOR CARDIAC CHAMBER IMAGING

    公开(公告)号:WO2021165033A1

    公开(公告)日:2021-08-26

    申请号:PCT/EP2021/052427

    申请日:2021-02-02

    Abstract: The invention provides a method for refining a mapped surface mesh of a cardiac chamber. The method includes obtaining a mapped surface mesh of the cardiac chamber anatomy, wherein the mapped surface mesh comprises a central region representing a cardiac chamber and an outer region representing a peripheral cardiac structure connected to the cardiac chamber, and wherein the mapped surface mesh comprises a first view of an anatomical landmark within the cardiac chamber, and obtaining image data of a cardiac chamber anatomy of a subject. The central region of the mapped surface mesh is deformed based on a first segmentation algorithm configured according to one or more predetermined shape- constraints and the outer region of the mapped surface mesh is deformed based on a second segmentation algorithm configured according to the image data, thereby generating a deformed outer region. The deformed central region and the deformed outer region are then combined, thereby generating a refined mapped surface mesh.

    DATA AUGMENTATION FOR A MACHINE LEARNING METHOD

    公开(公告)号:WO2021116036A1

    公开(公告)日:2021-06-17

    申请号:PCT/EP2020/084926

    申请日:2020-12-07

    Abstract: A mechanism for creating/ synthesizing realistic training data, for training a machine-learning model, using anatomical knowledge. An anatomical model can be obtained. Information from annotated training data entries (i.e. "ground truth" information), can be used to model the anatomical variation, from the obtained model, in the population of the training data. This anatomical model can then be modified, e.g. incorporating some random factors, in order to generate one or more augmented models of realistic anatomies. The augmented anatomy is then transferred from the model domain to the data entry domain to thereby generate a new data entry or data entries for training a machine-learning model. This latter process can be achieved in various ways, e.g. using GANs, such as CycleGANs and label images, or deformation vector fields.

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