SCAN REGION DETERMINING APPARATUS
    1.
    发明申请
    SCAN REGION DETERMINING APPARATUS 有权
    扫描区域确定装置

    公开(公告)号:US20150139520A1

    公开(公告)日:2015-05-21

    申请号:US14600030

    申请日:2015-01-20

    Abstract: A method includes displaying an iconic image of the human body and a list of predetermined anatomical regions. The method further includes displaying, in response to a user selected anatomical region, a scan box over a sub-portion of the iconic image. The method further includes receiving an input indicative of at least one of a scan box location of interest or a scan box geometry of interest, with respect to the anatomical region, of the first user. The method further includes at least one of re-locating or changing a geometry of the first initial scan box, in response thereto, creating a first user defined scan box for the first user. The method further includes creating a first transformation between a first template image representative of the selected anatomical region and the iconic image with the first user defined scan box for the first user, and storing the first transformation.

    Abstract translation: 一种方法包括显示人体的标志性图像和预定解剖区域的列表。 该方法还包括响应于用户选择的解剖区域显示在标志性图像的子部分上方的扫描盒。 该方法还包括接收指示相关于第一用户的解剖区域的感兴趣的扫描盒位置或感兴趣的扫描盒几何图形中的至少一个的输入。 该方法还包括重新定位或改变第一初始扫描盒的几何形状中的至少一个,响应于此,为第一用户创建第一用户定义的扫描盒。 该方法还包括在代表所选择的解剖区域的第一模板图像与标示图像之间创建用于第一用户的第一用户定义的扫描盒的第一变换,以及存储第一变换。

    ASSESSMENT OF MEASURED TOMOGRAPHIC DATA

    公开(公告)号:US20220386978A1

    公开(公告)日:2022-12-08

    申请号:US17776261

    申请日:2020-11-17

    Abstract: Disclosed herein is a medical instrument (100, 300, 400, 500) comprising: a memory (110) storing machine executable instructions (120) and a tomographic data assessment module (122) and a processor (106) configured for controlling the medical instrument. Execution of the machine executable instructions causes the processor to receive (200) measured tomographic data (124). The measured tomographic data is configured for being reconstructed into a tomographic image (308) of a subject (418). Execution of the machine executable instructions further causes the processor to receive (202) an image quality indicator (126, 126′, 126″) by inputting the measured tomographic data into the tomographic data assessment module. The tomographic data assessment module is configured for generating the image quality indicator in response to inputting the measured tomographic data. Execution of the machine executable instructions further causes the processor to provide (204) the image quality indicator to an operator using an operator signaling system (108).

    SCAN REGION DETERMINING APPARATUS
    3.
    发明申请
    SCAN REGION DETERMINING APPARATUS 有权
    扫描区域确定装置

    公开(公告)号:US20160012586A1

    公开(公告)日:2016-01-14

    申请号:US14768236

    申请日:2014-02-26

    Abstract: The invention relates to a scan region determining apparatus (12) for determining a scan region of a subject to be scanned by a scanning system (10) like a computed tomography system. A spatial transformation defining a registration of an overview image and a template image with respect to each other is determined, wherein initially the overview image and the template image are registered by using an element position indicator being indicative of a position of an element of the subject with respect to the overview image. A template scan region is defined with respect to the template image, wherein a final scan region is determined by projecting the template scan region onto the overview image by using the determined spatial transformation. The registration and thus the determination of the spatial transformation are very robust, which improves the quality of determining the final scan region.

    Abstract translation: 本发明涉及一种扫描区域确定装置(12),用于通过像计算机断层摄影系统的扫描系统(10)确定要扫描的对象的扫描区域。 确定定义相对于彼此的概览图像和模板图像的登记的空间变换,其中,首先通过使用指示对象的元素的位置的元素位置指示符来登记概览图像和模板图像 相对于概览图像。 相对于模板图像定义模板扫描区域,其中通过使用确定的空间变换将模板扫描区域投影到概览图像上来确定最终扫描区域。 空间转换的注册和确定非常强大,这提高了确定最终扫描区域的质量。

    LATENCY COMPENSATION FOR IMAGE PROCESSING DEVICES

    公开(公告)号:US20230069292A1

    公开(公告)日:2023-03-02

    申请号:US17800328

    申请日:2021-02-16

    Abstract: The present invention relates to latency compensation for image processing devices. In order to assign overlay data to frames of a raw image stream (210), past frames within a selection of frames of the raw image stream are considered, which past frames already underwent image processing. A current frame of the raw image stream (210) is compared to the past frames contained in the selection of frames, and that one of the past frames is identified that is most similar to the current frame. Overlay data from the identified past frame are chosen and assigned to the current frame. Thus, the current frame can be presented together with the assigned overlay data chosen from the most similar past frame and without the need to wait for the result of a computationally expensive and time-consuming image processing of the current frame.

    ANATOMICAL ENCRYPTION OF PATIENT IMAGES FOR ARTIFICIAL INTELLIGENCE

    公开(公告)号:US20220415004A1

    公开(公告)日:2022-12-29

    申请号:US17779209

    申请日:2020-12-09

    Abstract: An apparatus (10) for generating a training set of anonymized images (40) for training an artificial intelligence (AI) component (42) from images (11) of a plurality of persons. The apparatus includes at least one electronic processor (20) programmed to: spatially map the images of the plurality of persons to a reference image (30) to generate images (32) in a common reference frame; partition the images in the common reference frame into P spatial regions (34) to generate P sets of image patches (36) corresponding to the P spatial regions; assemble a set of training images (3) in the common reference frame by, for each training image in the common reference frame, selecting an image patch from each of the P sets of image patches and assembling the selected image patches into the training image in the common reference frame; and process the training images in the common reference frame to generate the training set of anonymized images including applying statistical inverse spatial mappings to the training images in the common reference frame, wherein the statistical inverse spatial mappings are derived from spatial mappings (33) of the images of the plurality of persons to the reference image.

    ASSESSMENT OF MEASURED TOMOGRAPHIC DATA

    公开(公告)号:US20250090122A1

    公开(公告)日:2025-03-20

    申请号:US18964802

    申请日:2024-12-02

    Abstract: Disclosed herein is a medical instrument comprising: a memory storing machine executable instructions and a tomographic data assessment module and a processor configured for controlling the medical instrument. Execution of the machine executable instructions causes the processor to receive measured tomographic data. The measured tomographic data is configured for being reconstructed into a tomographic image of a subject. Execution of the machine executable instructions further causes the processor to receive an image quality indicator by inputting the measured tomographic data into the tomographic data assessment module. The tomographic data assessment module is configured for generating the image quality indicator in response to inputting the measured tomographic data. Execution of the machine executable instructions further causes the processor to provide the image quality indicator to an operator using an operator signaling system.

    SEQUENTIAL TRANSMISSION OF COMPRESSED MEDICAL IMAGE DATA

    公开(公告)号:US20240177831A1

    公开(公告)日:2024-05-30

    申请号:US18524542

    申请日:2023-11-30

    Abstract: The application describes various embodiments of a medical system, a computer program, and a method related to sequential transmission of compressed medical image data. As an example, a medical system comprising a local memory storing local machine executable instructions and a local computational system. Execution of the machine executable instructions further causes the computational system to: receive a feature vector descriptive of medical image data, wherein the feature vector is configured to be input into a decoder neural network, wherein the decoder neural network is configured to output an approximation of the medical image data when receiving at least a part of the feature vector as input, wherein the feature vector comprises a ranking assigning an importance to elements of the feature vector; and sequentially transmit portions of the feature vector to a remote computational system via a network connection, wherein the portions of the features vector with a higher importance are transmitted first.

    CONNECTIONLESS DATA ALIGNMENT
    8.
    发明公开

    公开(公告)号:US20240013905A1

    公开(公告)日:2024-01-11

    申请号:US18015994

    申请日:2021-07-15

    CPC classification number: G16H40/63 G16H10/60 G06K19/06037 G06K7/1417

    Abstract: A method (100) for offline entry of execution information to be used by an associated execution device (14) in executing a task includes: providing a user interface (UI) (24) for receiving execution information via the at least one user input device of the defining device and for storing the execution information on the defining device or on an associated data storage accessed by the defining device via an electronic network; constructing at least one graphical pattern (42) encoding the execution information; receiving a trigger input to transfer the stored execution information to the associated execution device; and after receiving the trigger input, displaying the at least one graphical pattern encoding the execution information on the display of the defining device.

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