Offline angle selection in rotational imaging and tracking systems

    公开(公告)号:US11358005B2

    公开(公告)日:2022-06-14

    申请号:US16721649

    申请日:2019-12-19

    IPC分类号: A61N5/10 A61B6/03 A61B5/055

    摘要: A processing device determines a plurality of angles from which tracking images can be generated by an imaging device. The processing device generates a plurality of projections of a treatment planning image of a patient, the treatment planning image comprising a delineated target, wherein each projection of the plurality of projections has an angle that corresponds to one of the plurality of angles from which the tracking images can be taken. The processing device determines, for each angle of the plurality of angles, a value of a tracking quality metric for tracking the target based on an analysis of a projection generated at that angle. The processing device selects a subset of the plurality of angles that have a tracking quality metric value that satisfies a tracking quality metric criterion.

    Compensating for target rotation with a collimation system

    公开(公告)号:US11147989B2

    公开(公告)日:2021-10-19

    申请号:US16013800

    申请日:2018-06-20

    IPC分类号: A61N5/10

    摘要: A method includes detecting a potential setup error in a radiation treatment delivery session of a radiation treatment delivery system, wherein the setup error corresponds to a change in a current position of a treatment target relative to a prior position of the treatment target, and wherein the change includes a rotation relative to the prior position of the treatment target. The method further includes modifying, by a processing device, one or more planned leaf positions of a multileaf collimator (MLC) of a linear accelerator (LINAC) of the radiation treatment delivery system to compensate for the potential setup error corresponding to the rotation of the prior position of the treatment target.

    PARTIAL DEFORMATION MAPS FOR RECONSTRUCTING MOTION-AFFECTED TREATMENT DOSE USING MACHINE LEARNING

    公开(公告)号:US20210154496A1

    公开(公告)日:2021-05-27

    申请号:US17098215

    申请日:2020-11-13

    摘要: A method comprises inputting a treatment planning image of a target subject into a machine learning system. The method further comprises determining, by the machine learning system, a first target-subject-specific model of the treatment planning image. The method further comprises applying, by a processing device, the first target-subject-specific model to the treatment planning image to generate a transformed treatment planning image corresponding to a first position of a plurality of positions of the target subject. The method further comprises comparing the transformed treatment planning image to a reference image. The method further comprises, based on the comparing, modifying one or more parameters of the first target-subject-specific model to generate a second target-subject-specific model corresponding to a second position of the plurality of positions. The method further comprises controlling a treatment device based on the second target-subject-specific model to deliver a treatment to the target subject.

    ONLINE ANGLE SELECTION IN ROTATIONAL IMAGING AND TRACKING SYSTEMS

    公开(公告)号:US20200047000A1

    公开(公告)日:2020-02-13

    申请号:US16595194

    申请日:2019-10-07

    IPC分类号: A61N5/10 A61B6/00

    摘要: A radiation therapy apparatus determines a set of angles that have a tracking quality metric value that satisfies a tracking quality metric criterion. During an alignment phase or a treatment phase for a treatment stage of a target by the radiation therapy apparatus, the radiation therapy apparatus performs selects at least a first angle and a second angle from the set of angles for a first rotation of the gantry. The radiation therapy apparatus generates, using an imaging device mounted to the gantry, a first tracking image of the target from the first angle during the first rotation of the gantry. The radiation therapy apparatus generates, using the imaging device, a second tracking image of the target from the second angle during the first rotation of the gantry. The radiation therapy apparatus performs the target tracking based on the first tracking image and the second tracking image.