RECONSTRUCTION OF DIFFERENCE IMAGES USING PRIOR STRUCTURAL INFORMATION

    公开(公告)号:US20200151880A1

    公开(公告)日:2020-05-14

    申请号:US16617240

    申请日:2018-06-01

    IPC分类号: G06T7/00 G06T5/50 G06T3/00

    摘要: A device receives a prior image associated with an anatomy of interest, and receives measurements associated with the anatomy of interest. The device processes the prior image and the measurements, with a reconstruction of difference technique, to generate a difference image associated with the anatomy of interest, wherein the difference image indicates one or more differences between the prior image and the measurements. The device generates, based on the difference image and the prior image, a final image associated with the anatomy of interest, and provides, for display, the final image associated with the anatomy of interest.

    INTEGRATED COMPUTED TOMOGRAPHY (CT) TREATMENT COUCH SYSTEM

    公开(公告)号:US20210113164A1

    公开(公告)日:2021-04-22

    申请号:US17135691

    申请日:2020-12-28

    摘要: An integrated computed tomography (CT) treatment couch system may include a base platform configured to couple to a rotatable floor component associated with a medical accelerator, a pedestal component mounted to the base platform, a treatment couchtop disposed on the pedestal component, and a CT scanner device. The CT scanner device may include a support structure and a CT gantry. The support structure may be mounted to the base platform or to the pedestal component. The CT gantry may have a bore and may be oriented such that the bore is in line with the treatment couchtop. The CT gantry may be configured to generate on-line helical CT scans to guide radiotherapy provided by the medical accelerator.

    DATA ANALYTICS FOR PREDICTIVE MODELING OF SURGICAL OUTCOMES

    公开(公告)号:US20220157459A1

    公开(公告)日:2022-05-19

    申请号:US17310933

    申请日:2020-02-26

    IPC分类号: G16H50/20 G16H30/40 G16H20/40

    摘要: A device may receive a set of perioperative images including a set of pre-operative images depicting one or more anatomical structures of a surgical candidate. The set of pre-operative images may be processed using image analysis techniques to determine a first set of quantitative measures related to the anatomical structure(s) of the surgical candidate. The device may use a data model that has been trained based on perioperative data associated with a patient cohort sharing clinical characteristics with the surgical candidate to predict outcomes from one or more therapeutic options for the surgical candidate based on the first set of quantitative measures and a second set of quantitative measures related to a profile associated with the surgical candidate. Based on the predicted outcomes, the device may provide, to a client device, a recommendation relating to the therapeutic options for the surgical candidate and information to support the recommendation.