SYSTEM AND METHOD FOR ASSESSING A PULMONARY IMAGE

    公开(公告)号:US20200320705A1

    公开(公告)日:2020-10-08

    申请号:US16955959

    申请日:2018-12-14

    Abstract: The invention relates to a system for assessing a pulmonary image which allows for an improved assessment with respect to lung nodules detectability. The pulmonary image is smoothed for providing different pulmonary images (20, 21, 22) with different degrees of smoothing, wherein signal values and noise values, which are indicative of the lung vessel detectability and the noise in these images, are determined and used for determining an image quality being indicative of the usability of the pulmonary image to be assessed for detecting lung nodules. Since a pulmonary image shows lung vessels with many different vessel sizes and with many different image values, which cover the respective ranges of potential lung nodules generally very well, the image quality determination based on the different pulmonary images with different degrees of smoothing allows for a reliable assessment of the pulmonary image's usability for detecting lung nodules. The image quality is used to determine a radiation dose level to be applied for generating a next pulmonary image.

    MEDICAL IMAGE RECONSTRUCTION CLOUD SCHEDULER

    公开(公告)号:US20210241883A1

    公开(公告)日:2021-08-05

    申请号:US17251420

    申请日:2019-06-17

    Abstract: A system (100) for reconstruction of medical images over a network comprises a scheduler (302) that schedules a reconstruction request (108) and the reconstruction request includes a medical image reconstruction of a subject according to an imaging protocol The scheduling includes scheduling of a plurality of events, each event with a corresponding time, and the plurality of events include at least one event with the corresponding time selected from a group consisting of a first time (520) to transmit raw image data (114) over a first network from a source node (116) to a reconstruction node (106), a second time (522) to reconstruct the medical image (118) by the reconstruction node, and a third time (524) to transmit the reconstructed medical image over a second network from the reconstruction node to a destination node (120).

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