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    • 82. 发明授权
    • Method for reconstructing CT images with scatter correction, in particular for dual-source CT devices
    • 用于利用散射校正重建CT图像的方法,特别是用于双源CT设备的方法
    • US09047696B2
    • 2015-06-02
    • US13779925
    • 2013-02-28
    • SIEMENS AKTIENGESELLSCHAFT
    • Martin PetersilkaKarl Stierstorfer
    • G06K9/00G06T11/00A61B6/00
    • G06T11/003A61B6/507G06T11/005G06T11/006G06T2211/408
    • A method is disclosed for reconstructing image data of an examination object from measurement data, wherein the measurement data were acquired in the course of a relative rotational movement between a radiation source of a computed tomography system and the examination object. First image data of the examination object are reconstructed from the measurement data. Scatter signals are calculated from the first image data using a scattered radiation model, wherein the scattered radiation model specifies an angle-dependent scatter distribution for a scatter point as a function of a line integral corresponding to an attenuation integral of a scattered beam from the scatter point to a specific detector element. The calculated scatter signals are used for correcting the measurement data, and second image data are reconstructed using the corrected measurement data.
    • 公开了一种用于从测量数据重建检查对象的图像数据的方法,其中在计算机断层摄影系统的辐射源和检查对象之间的相对旋转运动的过程中获取测量数据。 从测量数据重建检查对象的第一图像数据。 使用散射辐射模型从第一图像数据计算散射信号,其中散射辐射模型指定散射点的角度依赖散射分布,作为对应于来自散射的散射光束的衰减积分的线积分的函数 指向特定的检测器元件。 所计算的散射信号用于校正测量数据,并且使用校正的测量数据重建第二图像数据。
    • 83. 发明授权
    • System and method for multi-material correction of image data
    • 图像数据多物质校正的系统和方法
    • US09025815B2
    • 2015-05-05
    • US14332020
    • 2014-07-15
    • General Electric Company
    • Xiaoye WuJiang HsiehPaavana SainathDan XuYannan JinGirijesh Kumar YadavaAdam Israel CohenHewei Gao
    • G06K9/00A61B6/03G06T7/00G06T11/00A61B6/00
    • A61B6/03G06T7/0012G06T11/008G06T2211/408
    • A method is provided. The method includes acquiring projection data of an object from a plurality of pixels, reconstructing the acquired projection data from the plurality of pixels into a reconstructed image, performing material characterization and decomposition of an image volume of the reconstructed image to reduce a number of materials analyzed in the image volume to two basis materials. The method also includes generating a re-mapped image volume for at least one basis material of the two basis materials, and performing forward projection on at least the re-mapped image volume for the at least one basis material to produce a material-based projection. The method further includes generating multi-material corrected projections based on the material-based projection and a total projection attenuated by the object, which represents both of the two basis materials, wherein the multi-material corrected projections include linearized projections.
    • 提供了一种方法。 该方法包括从多个像素获取对象的投影数据,将所获取的投影数据从多个像素重建成重建图像,对重建图像执行材料表征和分解,以减少分析的材料数量 在图像体积为两个基础材料。 所述方法还包括为所述两种基础材料的至少一种基础材料生成重新映射的图像体积,以及针对所述至少一种基础材料至少对所述重新映射的图像体积执行向前投影以产生基于材料的投影 。 该方法还包括基于基于材料的投影和由对象衰减的总投影来生成多材料校正投影,其表示两种基础材料,其中多材料校正投影包括线性化投影。
    • 84. 发明申请
    • DETERMINATION OF Z-EFFECTIVE VALUE FOR SET OF VOXELS USING CT DENSITY IMAGE AND SPARSE MULTI-ENERGY DATA
    • 使用CT密度图像和稀疏多能数据确定VOXELS集合的Z效率值
    • US20150104089A1
    • 2015-04-16
    • US14397751
    • 2012-05-01
    • Andrew LitvinRam NaiduDavid LieblichSergey Simanovsky
    • Andrew LitvinRam NaiduDavid LieblichSergey Simanovsky
    • G06T11/00G01N23/04
    • G06T11/006G01N23/046G06T2211/408G06T2211/424G06T2211/436
    • 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.
    • 使用稀疏(测量)多能量投影数据,在CT密度图像中的一组或多组体素生成Z-有效(例如,原子序数)值。 CT密度图像中的体素被分配起始z有效值,从CT密度图像产生CT z有效图像。 通过向前投影CT z有效图像来产生合成多能量投影数据并将合成的多能量投影数据与稀疏多能量投影数据进行比较,来测试所分配的z-有效值的精度。 当合成数据和稀疏数据之间的相似性度量低时,分配给一个或多个体素的z-有效值被修改,直到相似性的度量高于指定的阈值(例如,具有相关的可信度得分),在 这指出z-有效值基本上反映了使用(更昂贵)双能CT成像模式将获得的z-有效值。
    • 86. 发明授权
    • Measuring intramuscular fat
    • 测量肌内脂肪
    • US08792689B2
    • 2014-07-29
    • US13217688
    • 2011-08-25
    • Thomas L. KellyKevin E. Wilson
    • Thomas L. KellyKevin E. Wilson
    • G06K9/00
    • G06T7/0012G06K9/00G06T11/008G06T2207/10081G06T2207/10116G06T2207/20021G06T2207/30004G06T2211/408
    • Dual-energy absorptiometry is used to estimate intramuscular adipose tissue metrics and display results, preferably as related to normative data. The process involves deriving x-ray measurements for respective pixel positions related to a two-dimensional projection image of a body slice containing intramuscular adipose tissue as well as subcutaneous adipose tissue, at least some of the measurements being dual-energy x-ray measurements, processing the measurements to derive estimates of metrics related to the intramuscular adipose tissue in the slice, and using the resulting estimates. Processing the measurements includes an algorithm which places boundaries of regions, e.g., a large region and a smaller region. The regions are combined in an equation that is highly correlated with intramuscular adipose tissue measured by quantitative computed tomography in order to estimate intramuscular adipose tissue.
    • 双能量吸收测定用于估计肌内脂肪组织指标并显示结果,优选与规范数据相关。 该过程涉及对与包含肌内脂肪组织以及皮下脂肪组织的身体切片的二维投影图像相关的各个像素位置获得x射线测量,至少一些测量是双能x射线测量, 处理测量以得出与切片中的肌内脂肪组织相关的度量的估计,并且使用所得到的估计。 处理测量包括放置区域的边界的算法,例如大区域和较小区域。 该区域与通过定量计算机断层扫描测量的肌内脂肪组织高度相关的方程组合,以估计肌内脂肪组织。
    • 88. 发明授权
    • Systems and methods for object imaging
    • 物体成像系统和方法
    • US08761438B2
    • 2014-06-24
    • US13091736
    • 2011-04-21
    • Young Kyo LeeErik Edmund MagnusonYuri Alexeyevich Plotnikov
    • Young Kyo LeeErik Edmund MagnusonYuri Alexeyevich Plotnikov
    • G06K9/00
    • G06T11/006G06T2211/408
    • A method for imaging an object is provided. The method includes acquiring tomographic image data of the object at a plurality of frequencies, generating a composite image of the object at each of the plurality of frequencies using the acquired tomographic image data, determining a scaling factor for a first material at each of the plurality of frequencies, determining a scaling factor for a second material at each of the plurality of frequencies, and decomposing the composite images into a first discrete image and a second discrete image using the determined scaling factors, wherein the first discrete image contains any region of the object composed of the first material and the second discrete image contains any region of the object composed of the second material.
    • 提供了一种用于成像对象的方法。 所述方法包括以多个频率获取所述对象的断层图像数据,使用所获取的断层图像数据在所述多个频率中的每个频率处生成所述对象的合成图像,确定所述多个频率中的每一个处的第一材料的缩放因子 确定所述多个频率中的每个频率处的第二材料的缩放因子,以及使用所确定的缩放因子将所述合成图像分解成第一离散图像和第二离散图像,其中所述第一离散图像包含所述多个频率的任何区域, 由第一材料和第二离散图像组成的物体包含由第二材料组成的物体的任何区域。