Iterative X-Ray Imaging Optimization Method And System
    12.
    发明申请
    Iterative X-Ray Imaging Optimization Method And System 审中-公开
    迭代X射线成像优化方法与系统

    公开(公告)号:US20170055927A1

    公开(公告)日:2017-03-02

    申请号:US14840675

    申请日:2015-08-31

    Abstract: In the present invention, a method of optimizing images of a patient utilizing a medical imaging device includes the steps of providing a medical imaging device having an x-ray source, an x-ray detector, a controller for adjusting the positions of the x-ray source and detector, an image reconstructor/generator connected to the x-ray detector to receive x-ray data and reconstruct an x-ray image, and a processor connected to the image reconstructor/generator and the controller and configured to perform analyses on the x-ray image, acquiring a first data set S1 of images, processing the first data set S1 to reconstruct a first computerized data set D1, analyzing the first computerized data set D1, acquiring at least one additional data set Sn in response to the analysis of the first computerized data set D1 and processing the at least one additional data set Sn in combination with the first data set S1 to reconstruct an optimized and updated computerized data set Dn.

    Abstract translation: 在本发明中,利用医学成像装置优化患者图像的方法包括以下步骤:提供具有x射线源的医学成像装置,x射线检测器,用于调整x射线源的位置的控制器, 连接到X射线检测器以接收X射线数据并重建x射线图像的图像重构器/发生器,以及连接到图像重建器/发生器和控制器的处理器,并被配置为执行对X射线 X射线图像,获取图像的第一数据组S1,处理第一数据组S1以重构第一计算机化数据组D1,分析第一计算机化数据集D1,响应于该第一数据组S1获取至少一个附加数据集Sn 分析第一计算机化数据组D1,并结合第一数据组S1处理至少一个附加数据组Sn,以重构优化和更新的计算机化数据集Dn。

    METHOD AND SYSTEM FOR PERFORMING A GUIDED BIOPSY USING DIGITAL TOMOSYNTHESIS
    13.
    发明申请
    METHOD AND SYSTEM FOR PERFORMING A GUIDED BIOPSY USING DIGITAL TOMOSYNTHESIS 审中-公开
    使用数字TOMOSYNESESS执行引导生物的方法和系统

    公开(公告)号:US20160310215A1

    公开(公告)日:2016-10-27

    申请号:US14693863

    申请日:2015-04-22

    Abstract: A method and system for performing a biopsy guided by a 3D image of the object obtained from digital tomosynthesis is performed. The method includes applying a compression paddle to an object; performing a tomosynthesis scan; reconstructing at least a portion of the scan; locating a lesion using a displayed or reprojected marker to determine a location of the lesion; correlating the location of the lesion in the scan to a marker on the compression paddle or tool holder; and proposing a needle entry point of a biopsy tool based off of the correlation so that a needle or penetration device will effectively reach the lesion or target if it is inserted at the proposed entry point. A system for performing a biopsy is further disclosed. In one embodiment, the system comprises: a tomosynthesis imaging apparatus for performing a tomosynthesis scan comprising an x-ray source and an x-ray detector; at least one marker; a compression paddle; a controller; and a display screen for displaying at least a portion of a reproduction of a tomosynthesis scan generated by the imaging apparatus, wherein (i) the at least one marker is displayed on the reproduction, the marker being used to determine a lesion location or target, and (ii) the controller correlates the lesion location or target with the at least one marker and generates a proposed needle entry point based on the correlation so that a needle or penetration device will effectively reach the lesion or target if it is inserted at the proposed entry point.

    Abstract translation: 执行用于进行由数字断层合成获得的对象的3D图像引导的活检的方法和系统。 该方法包括将压缩桨施加到对象; 进行断层扫描扫描; 重建扫描的至少一部分; 使用显示或重新注射的标记来定位病变以确定病变的位置; 将扫描中的病变的位置与压缩桨或刀架上的标记相关联; 并且提出基于相关性的活检工具的针入口点,使得针或穿透装置如果插入到所提出的入口点时将有效地到达病变或靶。 进一步公开了进行活组织检查的系统。 在一个实施例中,系统包括:用于执行包括x射线源和x射线检测器的层析合成扫描的断层合成成像装置; 至少一个标记; 压缩桨 控制器 以及显示屏幕,用于显示由成像装置生成的断层合成扫描的再现的至少一部分,其中(i)所述至少一个标记在再现上显示,所述标记用于确定损伤位置或目标, 和(ii)所述控制器将所述损伤位置或目标与所述至少一个标记相关联,并且基于所述相关性产生所提出的针入点,使得针或穿透装置如果将其插入到所提出的位置时将有效地到达所述病变或靶 入口点。

    METHOD AND SYSTEM FOR OBTAINING LOW DOSE TOMOSYNTHESIS AND MATERIAL DECOMPOSITION IMAGES
    14.
    发明申请
    METHOD AND SYSTEM FOR OBTAINING LOW DOSE TOMOSYNTHESIS AND MATERIAL DECOMPOSITION IMAGES 审中-公开
    用于获得低剂量酪蛋白和材料分解图像的方法和系统

    公开(公告)号:US20160189376A1

    公开(公告)日:2016-06-30

    申请号:US14978460

    申请日:2015-12-22

    Abstract: Method and system for obtaining tomosynthesis and material decomposition images of an object of interest using a system comprising an x-ray source facing a detector. The method comprises generating a 2D material decomposition image of an object of interest from at least two sets of acquisitions. Each set is performed at a different energy spectrum and comprises at least one projection image or a plurality of projection images acquired at different x-ray source angulation positions, and the 2D material decomposition image can be generated for a predetermined orientation selected from one of said different x-ray source angulation positions or from a virtual orientation. At least one of the plurality of 3D volume portion images and/or the 2D contrast enhanced material decomposition image are displayed for review by a health care professional.

    Abstract translation: 用于使用包括面向检测器的x射线源的系统来获得感兴趣对象的体层合成和材料分解图像的方法和系统。 该方法包括从至少两组获取生成感兴趣对象的2D材料分解图像。 每个组以不同的能量谱进行,并且包括在不同x射线源角度位置处获取的至少一个投影图像或多个投影图像,并且2D材料分解图像可以针对从所述 不同的x射线源角度位置或虚拟方向。 多个3D体积部分图像和/或2D对比增强材料分解图像中的至少一个被显示供医疗保健专业人员审阅。

    Systems and methods for deep learning-based image reconstruction

    公开(公告)号:US10679384B2

    公开(公告)日:2020-06-09

    申请号:US15720632

    申请日:2017-09-29

    Abstract: Methods and systems for deep learning based image reconstruction are disclosed herein. An example method includes receiving a set of imaging projections data, identifying a voxel to reconstruct, receiving a trained regression model, and reconstructing the voxel. The voxel is reconstructed by: projecting the voxel on each imaging projection in the set of imaging projections according to an acquisition geometry, extracting adjacent pixels around each projected voxel, feeding the regression model with the extracted adjacent pixel data to produce a reconstructed value of the voxel, and repeating the reconstruction for each voxel to be reconstructed to produce a reconstructed image.

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