ADVANCED MEDICAL IMAGING IN DISTRIBUTED SETUP

    公开(公告)号:US20240335177A1

    公开(公告)日:2024-10-10

    申请号:US18745450

    申请日:2024-06-17

    发明人: Sandra HADER

    摘要: A computer-implemented method is for performing at least one medical imaging procedure using an imaging modality. The medical imaging procedure is performed under remote supervision. An embodiment of the method includes acquiring with a computing unit data on the medical imaging procedure to be performed; acquiring with the computing unit data on at least one expert operator, located at a workplace remote from the imaging modality; matching data on the medical imaging procedure with data on the expert operator; assigning at least one expert operator to the medical imaging procedure based on the matching; and providing a communication channel between the imaging modality and the remote workplace.

    Cooperative surgical displays
    7.
    发明授权

    公开(公告)号:US11992372B2

    公开(公告)日:2024-05-28

    申请号:US17062508

    申请日:2020-10-02

    摘要: A surgical hub may have cooperative interactions with one of more means of displaying the image from the laparoscopic scope and information from one of more other smart devices. The surgical hub may have the capacity of interacting with these multiple displays using an algorithm or control program that enables the combined display and control of the data distributed across the number of displays in communication with the surgical hub. The hub can obtain display control parameter(s) associated with a surgical procedure. The hub may determine, based on the display control parameter, different contents for different displays. The hub may generate and send the display contents to their respective displays. For example, the visualization control parameter may be a progression of the surgical procedure. The surgical hub may determine different display contents for the primary and the secondary displays based on the progression of the surgical procedure.

    Analysis of medical images
    10.
    发明授权

    公开(公告)号:US11847721B2

    公开(公告)日:2023-12-19

    申请号:US16623660

    申请日:2018-06-21

    申请人: Elekta AB (publ)

    IPC分类号: G06T11/00 G16H30/00

    摘要: Much of the image processing that is applied to medical images is a form of “inverse problem”. This is a class of mathematical problems in which a “forward” model by which a signal is converted into dataset is known, to at least some degree, but where the aim is to reconstruct the signal given the resulting dataset. Thus, an inverse problem is essentially seeking to discover x given knowledge of A(x)+noise by finding an appropriate reconstruction operator A† such that A† (A(x)+noise)≈x, thereby enabling us to obtain x (or a close approximation) given knowledge of an output dataset consisting of A(x)+noise. Generally, several such processes (or their equivalents) are applied to the image dataset. If the first process (for example, noise reduction) is expressed via a first reconstruction operator A1† characterised by a parameter set Θ1 and the second process (for example, segmentation) is expressed via a second reconstruction operator A2† characterised by a parameter set Θ2, then the result of the two steps applied consecutively is A2† (A1†(y)). This can be expressed as an overall reconstruction operator P+, characterised by a parameter set Φ. If we then allow a machine learning process to optimise P+, then the steps previously carried out separately can be combined into a single optimisation. This yields advantages in terms of computational load and in the accuracy of the end result.