Clinical Task-Based Processing Of Images
    5.
    发明申请

    公开(公告)号:US20190197742A1

    公开(公告)日:2019-06-27

    申请号:US15852076

    申请日:2017-12-22

    Abstract: An imaging system, such as a DBT system, is provided that is capable of providing processing of an image from initial generation/reconstruction of the image through the review of the image by a radiologist or other practitioner that produces images optimized for the particular task/process performed using the images. The task/review that the radiologist is performing on the processed or reconstructed image can be modeled with regard to the initial generation of the processed or reconstructed images from the raw images or the model considerations can be retroactively applied and back propagated through the image processing performed by the system. These modeling considerations that can take the form of an indicator of clinical performance is/are used by the system to optimize and produce an image(s) that best represents the items in the image necessary for an accurate diagnosis of the patient when reviewed by the radiologist.

    Clinical task-based processing of images

    公开(公告)号:US10755454B2

    公开(公告)日:2020-08-25

    申请号:US15852076

    申请日:2017-12-22

    Abstract: An imaging system, such as a DBT system, is provided that is capable of providing processing of an image from initial generation/reconstruction of the image through the review of the image by a radiologist or other practitioner that produces images optimized for the particular task/process performed using the images. The task/review that the radiologist is performing on the processed or reconstructed image can be modeled with regard to the initial generation of the processed or reconstructed images from the raw images or the model considerations can be retroactively applied and back propagated through the image processing performed by the system. These modeling considerations that can take the form of an indicator of clinical performance is/are used by the system to optimize and produce an image(s) that best represents the items in the image necessary for an accurate diagnosis of the patient when reviewed by the radiologist.

    METHODS AND APPARATUS FOR SELF-LEARNING CLINICAL DECISION SUPPORT

    公开(公告)号:US20190138693A1

    公开(公告)日:2019-05-09

    申请号:US15808536

    申请日:2017-11-09

    Abstract: Apparatus, systems, and methods for computer-aided detection are disclosed and described. An example apparatus includes at least one processor and a memory. The example memory includes instructions which, when executed, cause the at least one processor to at least: associate first patient data and first outcome data according to a set of association rules; train a processing model using machine learning and the associated first patient data and first outcome data; generate a computer-aided decision processing algorithm using the processing model; update the computer-aided decision processing algorithm based on at least one of second patient data or second outcome data received from a cloud infrastructure; and deploy the updated computer-aided decision processing algorithm to be applied to third patient data.

    VARIABLE DISTANCE IMAGING
    8.
    发明申请

    公开(公告)号:US20190000407A1

    公开(公告)日:2019-01-03

    申请号:US15638499

    申请日:2017-06-30

    Abstract: A system for imaging includes a gantry movable relative to a subject. A source is configured to emit radiation during an imaging procedure. A detector is configured to receive attenuated radiation from the source during an imaging procedure, at least one of the source and the detector movably secured to the gantry by an adjustable joint. An imaging controller is operably connected to at least the gantry and to the adjustable joint, wherein the gantry controller receives a priori patient information and imaging system geometry information, the imaging controller determines an imaging geometry and operates the gantry and the adjustable joint to vary a source to image-receptor distance (SID) according to the imaging geometry.

Patent Agency Ranking