ITERATIVE IMAGE RECONSTRUCTION
    1.
    发明公开
    ITERATIVE IMAGE RECONSTRUCTION 有权
    迭代BilDREKONSTRUKTION

    公开(公告)号:EP2727083A1

    公开(公告)日:2014-05-07

    申请号:EP11730538.3

    申请日:2011-06-30

    IPC分类号: G06T11/00

    摘要: One or more techniques and/or apparatuses described herein provide for reconstructing image data of an object under examination from measured projection data indicative of the object. The measured projection data is converted into image data using an iterative image reconstruction approach. The iterative image reconstruction approach may comprise, among other things, regularizing the image data to adjust a specified quality metric of the image data, identifying regions of the image data that represent aspects of the object that might generate inconsistencies in the measured projection data and correcting the measured projection data based upon such an identification, and/or weighting projections comprised in the measured projection data differently to reduce the influence of projections that respectively have a higher degree of inconsistency in the conversion from projection data to image data.

    摘要翻译: 本文所述的一个或多个技术和/或装置提供用于从被测量的指示对象的投影数据重建被检查对象的图像数据。 使用迭代图像重建方法将所测量的投影数据转换成图像数据。 迭代图像重建方法可以包括使图像数据正规化以调整图像数据的指定质量度量,识别表示可能在测量的投影数据中产生不一致的物体的方面的图像数据的区域,并且校正 基于这样的识别的测量的投影数据和/或包含在所测量的投影数据中的加权投影不同以减少在投影数据到图像数据的转换中分别具有较高程度的不一致性的投影的影响。

    PROJECTION IMAGE GENERATION VIA COMPUTED TOMOGRAPHY SYSTEM
    2.
    发明公开
    PROJECTION IMAGE GENERATION VIA COMPUTED TOMOGRAPHY SYSTEM 有权
    投影成像上的计算机层析成像系统

    公开(公告)号:EP3014571A1

    公开(公告)日:2016-05-04

    申请号:EP13737039.1

    申请日:2013-06-25

    IPC分类号: G06T7/00 G06T11/00

    摘要: Among other things, computed tomography (CT) systems and/or techniques for generating projections images of an object(s) under examination via a CT system are provided. A surface about which the projection image is focused is defined and data yielded from vertical rays of radiation intersecting the surface and data yielded from non-vertical rays intersecting the surface are used to generate the projection image. In some embodiments, the projection image is assembled from one or more projection lines, which are respectively associated with a line-path contacting the surface and extend in a direction parallel to an axis of rotation for a radiation source. A projection line is indicative of a degree of attenuation experienced by rays intersecting a line-path associated with the projection line and emitted while the radiation source was at a particular segment of a radiation source trajectory.

    DETERMINATION OF Z-EFFECTIVE VALUE FOR SET OF VOXELS USING CT DENSITY IMAGE AND SPARSE MULTI-ENERGY DATA
    3.
    发明公开
    DETERMINATION OF Z-EFFECTIVE VALUE FOR SET OF VOXELS USING CT DENSITY IMAGE AND SPARSE MULTI-ENERGY DATA 有权
    FOR VOXELSET使用CT密度图像的Z-有效价值决定与分散在多个功率数据

    公开(公告)号:EP2856430A1

    公开(公告)日:2015-04-08

    申请号:EP12719560.0

    申请日:2012-05-01

    IPC分类号: G06T11/00

    摘要: Z-effective (e.g., atomic number) values are generated for one or more sets of voxels in a CT density image using sparse (measured) multi-energy projection data. Voxels in the CT density image are assigned a starting z-effective value, causing a CT z-effective image to be generated from the CT density image. The accuracy of the assigned z-effective values is tested by forward projecting the CT z-effective image to generate synthetic multi-energy projection data and comparing the synthetic multi- energy projection data to the sparse multi-energy projection data. When the measure of similarity between the synthetic data and the sparse data is low, the z-effective value assigned to one or more voxels is modified until the measure of similarity is above a specified threshold (e.g., with an associated confidence score), at which point the z-effective values substantially reflect the z-effective values that would be obtained using a (more expensive) dual-energy CT imaging modality.

    摘要翻译: Z-有效(E. G.,原子序数)值用于在CT图像密度使用稀疏(测量的)多能量的投影数据的体素的一个或多个集合生成的。 体素的CT密度图像中被指定的起始的z有效值,导致从CT图像密度所产生的CT的z有效图像。 所分配的z有效值的精度是通过正向投影所述CT的z有效图像,以生成合成的多能量投影数据和合成的多能量的投影数据进行比较来稀疏多能量的投影数据进行测试。 当相似性的合成数据和所述稀疏数据之间的测量是低的,分配给一个或多个体素的z有效值被修改,直到相似性度量是高于指定阈值(例如,与在相关联的置信度得分),在 该点的z有效值基本上反射的z有效值确实将使用(更加昂贵)双能CT的成像模态来获得。

    COMPOUND OBJECT SEPARATION
    4.
    发明公开
    COMPOUND OBJECT SEPARATION 审中-公开
    TRENNUNG VON ZUSAMMARCHETZTEN OBJEKTEN

    公开(公告)号:EP2689394A1

    公开(公告)日:2014-01-29

    申请号:EP11713115.1

    申请日:2011-03-22

    IPC分类号: G06T7/00 G06K9/00

    摘要: Representations of an object 110 in an image generated by an imaging apparatus 100 can comprise one or more potential compound objects 500, where a compound object comprises two or more separate sub-objects. Compound objects can negatively affect the quality of object visualization and/or make identifying threat objects more difficult, for example. Accordingly, as provided herein, a representation of a potential compound object 500 can be examined for separation into sub-objects. To do so, three-dimensional image data of a potential compound object 500 is projected to generate one or more Eigen projections 504, and segmentation is performed on the two-dimensional Eigen projection(s) to identify sub-objects. Once sub-objects are identified, the segmented Eigen projection(s) 900 is back-projected into three-dimensional space 1104 for further processing, for example.

    摘要翻译: 由成像设备100生成的图像中的对象110的表示可以包括一个或多个潜在的复合对象500,其中复合对象包括两个或更多个单独的子对象。 例如,复合对象可能会对对象可视化的质量产生负面影响和/或使识别威胁对象更加困难。 因此,如本文所提供的,可以检查潜在复合对象500的表示以分离成子对象。 为此,投影潜在复合对象500的三维图像数据以生成一个或多个特征投影504,并且对二维特征投影执行分割以识别子对象。 一旦子对象被识别,则分割的特征投影900被反投影到三维空间1104中以用于进一步处理。

    OBJECT IDENTIFICATION USING SPARSE SPECTRAL COMPONENTS
    7.
    发明公开
    OBJECT IDENTIFICATION USING SPARSE SPECTRAL COMPONENTS 审中-公开
    目的是鉴定散乱光谱的BASIS

    公开(公告)号:EP2633477A1

    公开(公告)日:2013-09-04

    申请号:EP10776487.0

    申请日:2010-10-29

    IPC分类号: G06K9/52 G01N23/04 G01V5/00

    摘要: One or more systems and/or techniques are provided to identify and/or classify objects of interest (e.g., potential granular objects) from a radiographic examination of the object. Image data of the object is transformed using a spectral transformation, such as a Fourier transformation, to generate image data in a spectral domain. Using the image data in the spectral domain, one or more one-dimensional spectral signatures can be generated and features of the signatures can be extracted and compared to features of one or more known objects. If one or more features of the signatures correspond (e.g., within a predetermined tolerance) to the features of a known object to which the feature(s) is compared, the object of interest may be identified and/or classified based upon the correspondence.

    IMAGE GENERATION VIA COMPUTED TOMOGRAPHY SYSTEM

    公开(公告)号:EP3499458A1

    公开(公告)日:2019-06-19

    申请号:EP19151081.7

    申请日:2014-06-20

    发明人: LITVIN, Andrew

    IPC分类号: G06T7/00 G06T11/00

    摘要: Among other things, computed tomography (CT) systems and/or techniques for generating projections images of an object(s) under examination via a CT system are provided. The projection images of the object may represent a projection of the entire object or merely a portion of the object, such as a slice of the object. A surface about which the projection image is focused is defined and data yielded from a plurality of views of the object is mapped to the surface. In some embodiments, such a mapping comprises mapping data corresponding to a first view and yielded from a first detector cell to a first point on the surface, mapping data corresponding to the first view and yielded from a second detector cell to a second point on the surface, and/or mapping data corresponding to a second view and yielded from the first detector cell to a third point on the surface.