会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 2. 发明授权
    • Pixel-feature hybrid fusion for PET/CT images
    • 用于PET / CT图像的像素特征混合融合
    • US08749579B2
    • 2014-06-10
    • US13145135
    • 2009-12-23
    • Yang-Ming ZhuCharles A. Nortmann
    • Yang-Ming ZhuCharles A. Nortmann
    • G09G5/00
    • G06T11/001A61B6/037G06T15/503
    • An image display method comprises: color coding a second image respective to an intensity spectrum with a portion or portions of the intensity spectrum set to be transparent to generate a color coded second image; combining a first image and the color coded second image to generate a fused image; and displaying the fused image. An image display system comprises: an image generating module configured to generate an image by color coding an input image in accordance with a colormap assigning colors to intensities of an intensity spectrum; a colormap modifying module configured to select a portion of the intensity spectrum to be transparent; and a display configured to display the generated image.
    • 一种图像显示方法包括:对强度谱进行颜色编码,其中所述强度谱的部分或部分设置为透明的,以产生颜色编码的第二图像; 组合第一图像和所述颜色编码的第二图像以生成融合图像; 并显示融合图像。 一种图像显示系统,包括:图像生成模块,被配置为根据将颜色分配给强度谱强度的色彩图像,对输入图像进行彩色编码来生成图像; 配置为选择所述强度谱的一部分是透明的色彩变换模块; 以及被配置为显示所生成的图像的显示器。
    • 3. 发明授权
    • Automatic pre-alignment for registration of medical images
    • 自动预校准用于医学图像的注册
    • US08553961B2
    • 2013-10-08
    • US13054109
    • 2009-07-20
    • Yang-Ming ZhuSteven M. CochoffCheng-Hsiu Chen
    • Yang-Ming ZhuSteven M. CochoffCheng-Hsiu Chen
    • G06K9/00G06K9/46
    • G06T7/38G06T2200/04G06T2207/10081G06T2207/10104G06T2207/10136G06T2207/20076G06T2207/30196
    • In image registration, a similarity measure is computed of first and second images (4, 6) offset at a plurality of relative axial offsets (30). A starting relative axial offset (40) between the first and second images is identified based on the computed similarity measures. An iterative image registration process is performed to relatively register the first and second images (4, 6) using the identified starting relative axial offset between the first and second images as an initial condition for the iterative image registration process. A starting relative in-slice offset (42) may also be identified as an in-slice offset effective to align corresponding slices of the first and second images (4, 6) offset at the starting relative axial offset (40), the identified starting relative in-slice offset also being used as an initial condition for the iterative image registration process.
    • 在图像配准中,计算在多个相对轴向偏移(30)处偏移的第一和第二图像(4,6)的相似性度量。 基于所计算的相似性度量来识别第一和第二图像之间的起始相对轴向偏移(40)。 执行迭代图像注册处理以使用所识别的第一和第二图像之间的起始相对轴向偏移来相对地注册第一和第二图像(4,6)作为迭代图像注册处理的初始条件。 起始相对片内偏移(42)也可以被识别为有效地对准在起始相对轴向偏移(40)处偏移的第一和第二图像(4,6)的对应切片的片内偏移,所识别的起始 相对片内偏移也被用作迭代图像配准过程的初始条件。
    • 5. 发明申请
    • PIXEL-FEATURE HYBRID FUSION FOR PET/CT IMAGES
    • 用于PET / CT图像的PIXEL-FEETURE混合融合
    • US20120019548A1
    • 2012-01-26
    • US13145135
    • 2009-12-23
    • Yang-Ming ZhuCharles A. Nortmann
    • Yang-Ming ZhuCharles A. Nortmann
    • G09G5/02
    • G06T11/001A61B6/037G06T15/503
    • An image display method comprises: color coding a second image respective to an intensity spectrum with a portion or portions (72, 82, 92) of the intensity spectrum set to be transparent to generate a color coded second image; combining a first image and the color coded second image to generate a fused image; and displaying the fused image. An image display system comprises: an image generating module (50) configured to generate an image by color coding an input image in accordance with a colormap (52) assigning colors to intensities of an intensity spectrum; a colormap modifying module (56) configured to select a portion (72, 82, 92) of the intensity spectrum to be transparent; and a display (42) configured to display the generated image.
    • 图像显示方法包括:对强度谱进行颜色编码,其中所述强度谱的部分或部分(72,82,92)设置为透明的,以产生颜色编码的第二图像; 组合第一图像和所述颜色编码的第二图像以生成融合图像; 并显示融合图像。 一种图像显示系统,包括:图像生成模块,被配置为根据将颜色分配给强度谱强度的色彩图像(52),通过对输入图像进行彩色编码来生成图像; 配置为选择所述强度谱的部分(72,82,92)为透明的色板修改模块(56); 以及被配置为显示所生成的图像的显示器(42)。
    • 6. 发明授权
    • Image registration system and method using cross-entropy optimization
    • 使用交叉熵优化的图像配准系统和方法
    • US06775405B1
    • 2004-08-10
    • US09676613
    • 2000-09-29
    • Yang-Ming Zhu
    • Yang-Ming Zhu
    • G06K900
    • G06T3/0068G06K9/6212G06T7/35G06T2207/30004
    • An image registration system and method employs a registration processor (130) to find an optimal registration of two volumetric images (110, 112) by finding a spatial orientation that optimizes the statistical measure cross-entropy. The cross-entropy can be minimized where one or more likely or reasonably good a priori estimations of the true joint probability density function (pdf) of voxel value pairs are available. Where such an estimate is not available, the joint pdf for one or more known incorrect spatial arrangements (e.g., based on prior misregistrations), can be used as the prior pdf estimate(s). Since the prior pdf estimate(s) are unlikely to be the true pdf, a spatial orientation maximizing the cross-entropy is found. Likely and unlikely prior pdf estimations can also be used together to register images. The transformation that optimizes the cross entropy provides an optimal registration, and the parameters for the optimized transform are output to memory (150) for use by a display system (160) in aligning the images for display as a fused or composite image.
    • 图像配准系统和方法使用注册处理器(130)通过找到优化统计测量交叉熵的空间取向来找到两个体积图像(110,112)的最佳配准。 如果体素值对的真实联合概率密度函数(pdf)的一个或多个可能或相当好的先验估计可用,则可以最小化交叉熵。 在这种估计不可用的情况下,可以使用关于一个或多个已知不正确的空间布置(例如,基于先前的不对准)的联合pdf作为先前的pdf估计。 由于以前的pdf估计不太可能是真正的pdf,所以发现了最大化交叉熵的空间方向。 可能和不太可能的以前的pdf估计也可以一起用于注册图像。 优化交叉熵的变换提供了最佳配准,并且优化变换的参数被输出到存储器(150),供显示系统(160)使图像对准以便显示为融合或合成图像。
    • 7. 发明授权
    • Imaging registration system and method using likelihood maximization
    • 使用似然最大化的成像注册系统和方法
    • US06728424B1
    • 2004-04-27
    • US09663803
    • 2000-09-15
    • Yang-Ming ZhuSteven M. Cochoff
    • Yang-Ming ZhuSteven M. Cochoff
    • G06K932
    • G06T3/0068G06T7/33G06T7/35
    • An image processing system and method employs a registration processor (130) to calculate a statistical measure of likelihood for two volumetric images (110, 112). The likelihood is calculated based on an assumption that the voxel values in two images in registration are probabilitically related. The likelihood is calculated for a plurality of relative transformations in iterative fashion until a transformation that maximizes the likelihood is found. The transformation that maximizes the likelihood provides an optimal registration and the parameters for the optimized transform are output to memory (150) for use by a display system (160) in aligning the images for display as a fused or composite image. If statistics about the relationship between the involved images are known, a mutation probability can be derived and used in the likelihood calculation. If there is no such prior knowledge, the mutation probability can be estimated purely from the image data. All voxel pairs in the overlapping volume or, alternatively, a portion of it can be used to compute the likelihood. The optimized likelihood has a simple and less abstract interpretation and can be further used to provide an indication of the quality of the registration.
    • 图像处理系统和方法使用注册处理器(130)来计算两个体积图像(110,112)的似然性的统计度量。 基于假设注册中的两个图像中的体素值是概率相关的,计算似然性。 以迭代的方式计算多个相对变换的似然性,直到找到使可能性最大化的变换。 使可能性最大化的变换提供了最佳注册,并且用于优化的变换的参数被输出到存储器(150),以供显示系统(160)将图像对准以用于显示为融合或合成图像。 如果涉及图像之间的关系的统计数据是已知的,则可以导出变异概率并在可能性计算中使用。 如果没有这样的现有知识,则可以纯粹地从图像数据估计突变概率。 重叠卷中的所有体素对,或者替代地,其一部分可以用于计算似然性。 优化的可能性具有简单且较少抽象的解释,并且可以进一步用于提供注册质量的指示。
    • 10. 发明申请
    • AUTOMATIC PRE-ALIGNMENT FOR REGISTRATION OF MEDICAL IMAGES
    • 医学图像注册的自动预对齐
    • US20110116701A1
    • 2011-05-19
    • US13054109
    • 2009-07-20
    • Yang-Ming ZhuSteven M. CochoffCheng-Hsiu Chen
    • Yang-Ming ZhuSteven M. CochoffCheng-Hsiu Chen
    • G06K9/32G06K9/00
    • G06T7/38G06T2200/04G06T2207/10081G06T2207/10104G06T2207/10136G06T2207/20076G06T2207/30196
    • In image registration, a similarity measure is computed of first and second images (4, 6) offset at a plurality of relative axial offsets (30). A starting relative axial offset (40) between the first and second images is identified based on the computed similarity measures. An iterative image registration process is performed to relatively register the first and second images (4, 6) using the identified starting relative axial offset between the first and second images as an initial condition for the iterative image registration process. A starting relative in-slice offset (42) may also be identified as an in-slice offset effective to align corresponding slices of the first and second images (4, 6) offset at the starting relative axial offset (40), the identified starting relative in-slice offset also being used as an initial condition for the iterative image registration process.
    • 在图像配准中,计算在多个相对轴向偏移(30)处偏移的第一和第二图像(4,6)的相似性度量。 基于所计算的相似性度量来识别第一和第二图像之间的起始相对轴向偏移(40)。 执行迭代图像注册处理以使用所识别的第一和第二图像之间的起始相对轴向偏移来相对地注册第一和第二图像(4,6)作为迭代图像注册处理的初始条件。 起始相对片内偏移(42)也可以被识别为有效地对准在起始相对轴向偏移(40)处偏移的第一和第二图像(4,6)的对应切片的片内偏移,所识别的起始 相对片内偏移也被用作迭代图像配准过程的初始条件。