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41.发明申请2D3D REGISTRATION FOR MR-X RAY FUSION UTILIZING ONE ACQUISITION OF MR DATA 审中-公开使用MR数据采集的MR-X射线融合的2D3D注册公开(公告)号：US20130190602A1
公开(公告)日：2013-07-25
申请号：US13353633
申请日：2012-01-19
CPC分类号： A61B5/055 , A61B5/0035 , A61B5/7425 , A61B6/032 , A61B6/5247 , G06T7/11 , G06T7/33 , G06T2207/10088 , G06T2207/10116 , G06T2207/10124 , G06T2207/30008 , G06T2207/30016
摘要： Systems and methods for 2D3D registration of apply MR volumes and X-ray images using DRR techniques. A bone classifier is trained from co-registered UTE1, UTE2 and CT prior images. Dual-echo MR UTE1 and UTE2 images are acquired from a patient. The bone structure of the patient is classified and a labeled segmentation is generated. A DRR image is generated from the labeled segmentation and is registered with an X-ray image of the patient. The registration methods are implemented on a processor based system.
摘要翻译： 使用DRR技术应用MR体积和X射线图像的2D3D注册的系统和方法。 骨分类器由共同注册的UTE1，UTE2和CT先前图像进行训练。 从患者获取双回波MR UTE1和UTE2图像。 对患者的骨骼结构进行分类，并生成标记分割。 从标记的分割生成DRR图像，并且与患者的X射线图像一起登记。 注册方法在基于处理器的系统上实现。
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公开(公告)号：US08433114B2
公开(公告)日：2013-04-30
申请号：US12556929
申请日：2009-09-10
IPC分类号： G06K9/00
CPC分类号： G06K9/6206 , G06K2209/05 , G06T3/0081 , G06T2207/10072 , G06T2207/30004
摘要： A method and system for improving the quality of composing image volumes using deformable registration, and a gradual elastic morphing to create a seamless whole body volume image from several component volumes from a 3D medical imager.
摘要翻译： 一种用于使用可变形配准提高组合图像体积的质量的方法和系统，以及逐渐的弹性变形，以从3D医疗成像器的几个组件体积创建无缝全身体积图像。
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43.发明申请UNIFYING RECONSTRUCTION AND MOTION ESTIMATION IN FIRST PASS CARDIAC PERFUSION IMAGING 有权第一次心脏灌注成像中的统一重建和运动估计公开(公告)号：US20120148128A1
公开(公告)日：2012-06-14
申请号：US13273410
申请日：2011-10-14
IPC分类号： G06K9/00
CPC分类号： G01R33/56366 , G01R33/5611 , G01R33/56509
摘要： Methods and a system to unify reconstruction and motion estimation steps in first pass cardiac perfusion MRI include a global objective function that meets data consistency, spatial smoothness, motion and contrast dynamics constraints. The global objective decomposed into simpler sub-problems which include low pass filtering of a deformed object, TV shrinkage, analytical Fourier replacement and an l2 minimizing problem. A registration tool based on the local cross-correlation similarity measure and enabled to perform both rigid and flexile deformations, is applied. Registration parameters are tuned by rigid, semi rigid and flexible models at different stages of iterations. A system to perform the methods is also disclosed.
摘要翻译： 在第一次心脏灌注MRI中统一重建和运动估计步骤的方法和系统包括满足数据一致性，空间平滑度，运动和对比度动力学约束的全局目标函数。 全局目标分解为更简单的子问题，包括变形对象的低通滤波，电视收缩，分析傅立叶置换和最小二乘问题。 应用基于局部互相关相似性测量并且能够执行刚性和柔性变形的注册工具。 注册参数通过刚性，半刚性和柔性模型在不同的迭代阶段进行调整。 还公开了执行方法的系统。
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44.发明授权Method and system for registration of contrast-enhanced images with volume-preserving constraint 有权使用体积保留约束的对比度增强图像配准的方法和系统公开(公告)号：US08098911B2
公开(公告)日：2012-01-17
申请号：US11945337
申请日：2007-11-27
IPC分类号： G06K9/32
CPC分类号： G06K9/32 , G06K9/6206 , G06T7/30
摘要： A method and system for registering a first image of, for example, a liver and a second image of the liver being contrast-enhanced comprises: deriving a statistical similarity measure between images; deriving a smooth divergence-free vector field derived from a gradient of the statistical similarity measure; and integrating the vector field for providing a fluid-based algorithm including a volume-preserving constraint for a transformation for registering the images.
摘要翻译： 用于登记例如肝脏的第一图像和对比度增强的肝脏的第二图像的方法和系统包括：导出图像之间的统计学相似性度量; 导出从统计相似性度量的梯度导出的平滑无差矢量场; 并且整合矢量场以提供基于流体的算法，其包括用于注册图像的变换的体积保留约束。
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45.发明申请SYSTEM AND METHOD FOR VERIFYING REGISTRATION ACCURACY IN DIGITAL MEDICAL IMAGES 有权用于在数字医学图像中验证注册精度的系统和方法公开(公告)号：US20110085716A1
公开(公告)日：2011-04-14
申请号：US12897845
申请日：2010-10-05
IPC分类号： G06K9/00
CPC分类号： G06K9/6215 , G06T7/33 , G06T2207/10072 , G06T2207/30016
摘要： A method of verifying a registration of a digital image includes receiving a reference image and a moving image registered to the reference image representing the same object, selecting one or more landmarks in the images, defining a neighborhood in the domain of each image near each selected landmark, extracting feature sets from the neighborhoods for the reference image and the registered moving image, calculating a total quality measure of the registration of the moving image from a distance metric applied to the feature sets extracted from the neighborhoods of the reference image and the registered moving image, comparing the total quality measure to a threshold determined from a reference atlas for the object represented in the image, and determining whether to accept or reject the registration of the moving image based on the comparison result.
摘要翻译： 验证数字图像的注册的方法包括接收参考图像和登记到表示相同对象的参考图像的运动图像，选择图像中的一个或多个界标，定义每个图像附近的每个图像的域中的邻域 从参考图像和注册的运动图像的邻域中提取特征集合，从施加到从参考图像的邻域提取的特征集的距离度量和注册的参考图像的附近计算运动图像的注册的总质量测量 运动图像，将总质量度量与由图像中表示的对象的参考图集确定的阈值进行比较，以及基于比较结果确定是否接受或拒绝运动图像的注册。
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公开(公告)号：US20080039706A1
公开(公告)日：2008-02-14
申请号：US11805218
申请日：2007-05-22
IPC分类号： A61B5/05
CPC分类号： A61B90/36 , A61B2090/364 , G06T7/35 , G06T2207/30016
摘要： A method of aligning image having the steps of obtaining a first image, the first image having a corresponding first data set, obtaining a second image, the second having a corresponding second data set; learning a joint intensity distribution from a pair of prealigned images, and aligning the first image and the second image by computing Earth Mover's Distance between their observed joint intensity distribution and the learned joint intensity distribution.
摘要翻译： 一种对准具有获得第一图像的步骤的图像的方法，所述第一图像具有对应的第一数据集，获得第二图像，所述第二图像具有对应的第二数据集; 从一对预对准图像学习联合强度分布，并通过计算地球移动器的观察到的关节强度分布与学习的关节强度分布之间的距离来对准第一图像和第二图像。
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47.发明申请公开(公告)号：US20070086678A1
公开(公告)日：2007-04-19
申请号：US11580670
申请日：2006-10-13
申请人： Christophe Chefd'hotel , Wanmei Ou
发明人： Christophe Chefd'hotel , Wanmei Ou
CPC分类号： G06K9/6289 , G06T5/50 , G06T7/30 , G06T2207/30016
摘要： A method for multimodal image registration includes providing a pair of images acquired from differing imaging modalities, defining an intensity correction function that corrects the intensities of a first image in terms of the intensities of the second image, defining a registration transformation function that registers the second image with the first image, wherein said intensity correction function and transformation function are functions of a plurality of parameters, obtaining corrections to the plurality of parameters by minimizing an energy functional of a square difference of the intensity corrected first image and the registration transformed second image, and updating the intensity correction function and the registration transformation function based on the corrected plurality of parameters.
摘要翻译： 一种用于多模式图像配准的方法包括提供从不同成像模态获得的一对图像，其定义强度校正功能，该强度校正功能根据第二图像的强度来校正第一图像的强度，定义登记变换功能， 具有第一图像的图像，其中所述强度校正函数和变换函数是多个参数的函数，通过最小化强度校正的第一图像和注册变换的第二图像的平方差的能量函数来获得对多个参数的校正 并且基于校正的多个参数来更新强度校正功能和登记变换功能。
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公开(公告)号：US20060045366A1
公开(公告)日：2006-03-02
申请号：US11205569
申请日：2005-08-17
IPC分类号： G06K9/36
摘要： A method for motion compensation between first and second images in a temporal sequence includes processing the first and second images in a reduction process for providing respective reduced resolution first and second images; deriving respective first and second feature maps from the respective reduced resolution first and second images, the feature maps including deriving the respective Laplacian of image data in the respective reduced resolution first and second images; deriving a displacement field by processing the first and second feature maps in accordance with a registration algorithm, the registration algorithm comprising solving, for each picture element or voxel, a local Gaussian weighted least mean square problem so as to derive respective vectors forming the displacement field; and warping the second image with the displacement field.
摘要翻译： 一种用于在时间序列中的第一和第二图像之间的运动补偿的方法包括在缩小处理中处理第一和第二图像以提供相应的缩小分辨率的第一和第二图像; 从相应的减小分辨率的第一和第二图像中导出相应的第一和第二特征图，所述特征图包括导出相应的缩小分辨率的第一和第二图像中的各个拉普拉斯算子的图像数据; 通过根据注册算法处理第一和第二特征图来导出位移场，该注册算法包括针对每个像素或体元求解局部高斯加权最小均方问题，以便导出形成位移场的各向量 ; 并用位移场来扭曲第二个图像。
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公开(公告)号：US20050190189A1
公开(公告)日：2005-09-01
申请号：US11062962
申请日：2005-02-22
CPC分类号： G06T15/04 , G06T7/30 , G06T15/005
摘要： A method of registering two images using a graphics processing unit includes providing a pair of images with a first and second image, calculating a gradient of the second image, initializing a displacement field on the grid point domain of the pair of images, generating textures for the first image, the second image, the gradient, and the displacement field, and loading said textures into the graphics processing unit. A pixel buffer is created and initialized with the texture containing the displacement field. The displacement field is updated from the first image, the second image, and the gradient for one or more iterations in one or more rendering passes performed by the graphics processing unit.
摘要翻译： 使用图形处理单元登记两个图像的方法包括：提供一对具有第一和第二图像的图像，计算第二图像的梯度，初始化该对图像的网格点域上的位移场，生成纹理 第一图像，第二图像，渐变和位移场，并将所述纹理加载到图形处理单元中。 使用包含位移字段的纹理创建和初始化像素缓冲区。 从图形处理单元执行的一个或多个渲染通过中的一个或多个迭代的第一图像，第二图像和梯度更新位移场。
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50.发明授权Multilevel thresholding for mutual information based registration and image registration using a GPU 有权用于基于互信息的注册和使用GPU的图像注册的多级阈值公开(公告)号：US08731334B2
公开(公告)日：2014-05-20
申请号：US12509740
申请日：2009-07-27
CPC分类号： G06K9/6212 , G06K9/00986 , G06T3/0068 , G06T7/35 , G06T2200/28 , G06T2207/30004
摘要： An exemplary embodiment of the present invention includes a method of registering images. The method includes: for each image, determining an optimum intensity threshold set from a plurality of intensity threshold sets that maximizes a variance between classes of each set, segmenting each image using the corresponding determined optimum intensity threshold set, generating mutual information from a joint histogram of at least two of the segmented images, and registering the at least two images using the mutual information. The joint histogram may be generated using a geometry shader of a graphical processing unit.
摘要翻译： 本发明的示例性实施例包括一种登记图像的方法。 该方法包括：对于每个图像，确定从多个强度阈值集合确定的最佳强度阈值集合，其使每组的类别之间的方差最大化，使用相应的确定的最佳强度阈值集分割每个图像，从联合直方图生成相互信息 的至少两个分割图像，以及使用所述相互信息登记所述至少两个图像。 联合直方图可以使用图形处理单元的几何着色器生成。
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