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81. 发明授权

US08300975B2 Piecewise smooth Mumford-Shah on an arbitrary graph 有权
标题翻译：在任意图上分割平滑的Mumford-Shah
公开(公告)号：US08300975B2
公开(公告)日：2012-10-30
申请号：US12362892
申请日：2009-01-30
申请人： Christopher V. Alvino , Leo Grady
发明人： Christopher V. Alvino , Leo Grady
IPC分类号： G06K9/40
CPC分类号： G06K9/40 , G06K9/6207
摘要： A method for recovering a contour using combinatorial optimization includes receiving an input image, initializing functions for gradient f, smooth background g, and contour r, determining an optimum of the gradient f of a region R in the input image, extending the optimum of the gradient f of region R to a complement of R, determining an optimum of the smooth background function g for a region Q corresponding to the complement of R, extending the optimum of the smooth background function g of region Q to a complement of Q, and determining an optimum contour r according to the optimum of the gradient f and the optimum of the smooth background function g.
摘要翻译：使用组合优化来恢复轮廓的方法包括：接收输入图像，初始化梯度f，平滑背景g和轮廓r的函数，确定输入图像中的区域R的渐变f的最佳值，区域R到R的补数的梯度f，确定对应于R的补码的区域Q的平滑背景函数g的最优，将区域Q的平滑背景函数g的最优值延伸到Q的补数，以及根据梯度f的最优值和平滑背景函数g的最优值确定最佳轮廓r。

82. 发明授权

US08073220B2 Methods and systems for fully automatic segmentation of medical images 有权
标题翻译：医学图像全自动分割的方法和系统
公开(公告)号：US08073220B2
公开(公告)日：2011-12-06
申请号：US12426320
申请日：2009-04-20
申请人： Ali Khamene , Leo Grady , Eike Rietzel , Thomas Boettger
发明人： Ali Khamene , Leo Grady , Eike Rietzel , Thomas Boettger
IPC分类号： G06K9/34 , G06K9/00
CPC分类号： G06K9/469 , G06K2209/051 , G06T7/12 , G06T7/149 , G06T2207/20124 , G06T2207/20128 , G06T2207/20156
摘要： Methods and systems dedicated to automatic object segmentation from image data are provided. In a first step a fuzzy seed set is generated that is learned from training data. The fuzzy seed set is registered to image data containing an object that needs to be segmented from a background. In a second step a random walker segmentation is applied to the image data by using the fuzzy seed set as an automatic seeding for segmentation. Liver segmentation, lung segmentation and kidney segmentation examples are provided.
摘要翻译：提供专用于图像数据自动对象分割的方法和系统。在第一步中，生成从训练数据中学习的模糊种子集。将模糊种子集登记到包含需要从背景分割的对象的图像数据。在第二步中，通过使用模糊种子集作为用于分割的自动播种，将随机游侠分割应用于图像数据。提供肝分割，肺分割和肾分割实例。

83. 发明授权

US08055037B2 Robust reconstruction method for parallel magnetic resonance images 有权
标题翻译：平行磁共振图像的鲁棒重建方法
公开(公告)号：US08055037B2
公开(公告)日：2011-11-08
申请号：US11928121
申请日：2007-10-30
申请人： Ali Kemal Sinop , Leo Grady
发明人： Ali Kemal Sinop , Leo Grady
IPC分类号： G06K9/00
CPC分类号： G01R33/5611
摘要： Methods and systems for reconstruction of an image from parallel Magnetic Resonance Image (pMRI) data are disclosed. A reconstructed pMRI image may suffer from noise and aliasing. A method for reducing aliasing by applying a bounded error function is disclosed. A method for reducing noise in a reconstruction by applying an error term is also disclosed. Error terms are included in an expression that can be solved as a minimization problem. Creating a solution in an iterative way is also disclosed. Examples of specific solutions are provided. A system applying the methods is also provided.
摘要翻译：公开了从平行重建图像的方法和系统。磁共振图像（pMRI）数据。重建的pMRI图像可能遭受噪声和混叠。公开了一种通过应用有限误差函数来减少混叠的方法。还公开了一种通过应用误差项来减少重构中的噪声的方法。错误项包含在可以作为最小化问题解决的表达式中。还公开了以迭代方式创建解决方案。提供具体解决方案的示例。还提供了应用该方法的系统。

84. 发明授权

US08023734B2 3D general lesion segmentation in CT 有权
标题翻译： CT中的3D一般病变分割
公开(公告)号：US08023734B2
公开(公告)日：2011-09-20
申请号：US12128676
申请日：2008-05-29
申请人： Marie-Pierre Jolly , Leo Grady
发明人： Marie-Pierre Jolly , Leo Grady
IPC分类号： G06K9/34
CPC分类号： A61B6/466 , G06T7/12 , G06T7/143 , G06T7/181 , G06T2207/10081 , G06T2207/20076 , G06T2207/20096 , G06T2207/20101 , G06T2207/30096
摘要： A general purpose method to segment any kind of lesions in 3D images is provided. Based on a click or a stroke inside the lesion from the user, a distribution of intensity level properties is learned. The random walker segmentation method combines multiple 2D segmentation results to produce the final 3D segmentation of the lesion.
摘要翻译：提供了一种在3D图像中分割任何种类的病变的通用方法。基于来自用户的病变内的点击或中风，学习强度水平特性的分布。随机Walker分割方法组合了多个2D分割结果，以产生损伤的最终3D分割。

85. 发明申请

US20110050703A1 METHOD AND SYSTEM FOR INTERACTIVE SEGMENTATION USING TEXTURE AND INTENSITY CUES 有权
标题翻译：使用纹理和强度的互动分段的方法和系统
公开(公告)号：US20110050703A1
公开(公告)日：2011-03-03
申请号：US12720753
申请日：2010-03-10
申请人： Yusuf Artan , Leo Grady
发明人： Yusuf Artan , Leo Grady
IPC分类号： G06T11/20
CPC分类号： G06T7/162 , G06T7/11 , G06T7/143 , G06T2207/20101
摘要： A method for processing image data for segmentation includes receiving image data. One or more seed points are identified within the image data. Intensity and texture features are computer based on the received image data and the seed points. The image data is represented as a graph wherein each pixel of the image data is represented as a node and edges connect nodes representative of proximate pixels of the image data and establishing edge weights for the edges of the graph using a classifier that takes as input, one or more of the computed image features. Graph-based segmentation such as segmentation using the random walker approach may then be performed based on the graph representing the image data.
摘要翻译：用于处理用于分割的图像数据的方法包括接收图像数据。在图像数据内识别一个或多个种子点。强度和纹理特征是基于接收到的图像数据和种子点的计算机。图像数据被表示为图形，其中图像数据的每个像素被表示为节点，并且边缘连接代表图像数据的邻近像素的节点，并且使用作为输入的分类器来建立图的边缘的边缘权重，一个或多个计算的图像特征。然后可以基于表示图像数据的图形来执行基于图形的分割，例如使用随机Walker方法的分割。

86. 发明申请

US20100308824A1 METHOD FOR RECONSTRUCTING IMAGES OF AN IMAGED SUBJECT FROM A PARALLEL MRI ACQUISITION 有权
标题翻译：用于从并行MRI获取中重建图像的图像的方法
公开(公告)号：US20100308824A1
公开(公告)日：2010-12-09
申请号：US12788439
申请日：2010-05-27
申请人： Leo Grady , Jonathan R. Polimeni
发明人： Leo Grady , Jonathan R. Polimeni
IPC分类号： G01R33/48
CPC分类号： G01R33/5611
摘要： A parallel MR imaging method that uses a reconstruction algorithm that combines the GRAPPA image reconstruction method and the compressed sensing (CS) image reconstruction method in an iterative approach (200) or joint energy optimization approach (300).
摘要翻译：采用迭代法（200）或联合能量优化方法（300），采用GRAPPA图像重建方法和压缩感知（CS）图像重建方法组合的重建算法的并行MR成像方法。

87. 发明授权

US07822274B2 Banded graph cut segmentation algorithms with laplacian pyramids 有权
标题翻译：带状图切割具有拉普拉斯棱锥的分割算法
公开(公告)号：US07822274B2
公开(公告)日：2010-10-26
申请号：US11638224
申请日：2006-12-13
申请人： Ali Kemal Sinop , Leo Grady
发明人： Ali Kemal Sinop , Leo Grady
IPC分类号： G06K9/00 , G06K9/34
CPC分类号： G06K9/342 , G06K9/6224 , G06T7/11 , G06T7/162 , G06T7/194 , G06T2207/20016 , G06T2207/20072 , G06T2207/20101
摘要： A process for segmenting an object of interest from background, comprising: obtaining a master, high-resolution image of an object disposed within a background; applying a first band graph cut process to the master image generating a second image with the object being segmented from the background to a first approximation; and, comparing the second image with the master image to produce a comparison image with pixels identified by the comparison to be background images being removed from the comparison image.
摘要翻译：一种用于从背景分割感兴趣对象的过程，包括：获得设置在背景中的对象的主分辨率高分辨率图像; 对所述主图像应用第一带图切割处理，生成具有所述对象从所述背景分割成第一近似的第二图像; 以及将所述第二图像与所述主图像进行比较，以产生与所述比较所识别的像素的比较图像，以便从所述比较图像中移除背景图像。

88. 发明授权

US07773807B2 Seed segmentation using l∞ minimization 有权
标题翻译：使用l∞最小化的种子分割
公开(公告)号：US07773807B2
公开(公告)日：2010-08-10
申请号：US11789747
申请日：2007-04-25
申请人： Leo Grady , Ali Kemal Sinop
发明人： Leo Grady , Ali Kemal Sinop
IPC分类号： G06K9/00 , G06K9/34 , G06K9/36
CPC分类号： G06K9/469 , G06K9/6224 , G06T7/11 , G06T7/143 , G06T7/162 , G06T2207/30101
摘要： A computer readable medium embodying instructions executable by a processor to perform a method for seeded image segmentation using l∞ minimization, the method including providing an image comprising a set of pixels, wherein a foreground seed label is given for at least one pixel of the image and a background seed label is given for at least another pixel of the image, determining an affinity function for every pair of neighbor pixels, solving the l∞ minimization, which assigns a probability to each pixel, labeling each pixel as foreground pixel or background pixel according to a threshold of the probability, and outputting the image including the segmentation labels.
摘要翻译：一种计算机可读介质，其包含可由处理器执行的指令，以执行使用l∞最小化的种子图像分割的方法，所述方法包括提供包括一组像素的图像，其中为所述图像的至少一个像素给出前景种子标签并且为图像的至少另一个像素给出背景种子标签，确定每对相邻像素的亲和度函数，求解l∞最小化，其为每个像素分配概率，将每个像素标记为前景像素或背景像素根据概率的阈值，并输出包括分割标签的图像。

89. 发明授权

US07724256B2 Fast graph cuts: a weak shape assumption provides a fast exact method for graph cuts segmentation 有权
标题翻译：快速图形切割：弱形状假设为图形切割分割提供了一种快速准确的方法
公开(公告)号：US07724256B2
公开(公告)日：2010-05-25
申请号：US11374741
申请日：2006-03-14
申请人： Leo Grady , Chenyang Xu
发明人： Leo Grady , Chenyang Xu
IPC分类号： G06T11/20 , G06K9/34
CPC分类号： G06K9/6224 , G06K9/342 , G06T7/11 , G06T7/162 , G06T2200/04 , G06T2207/10072 , G06T2207/20016 , G06T2207/20072 , G06T2207/30004
摘要： Traditional graph cuts provides a powerful method for producing semi-automatic image/volume segmentation, but often exceed available computer power. Multi-level methods for coarsening images/volumes are disclosed that allow for faster processing and creation of graph cuts segmentation without sacrificing quality of image. The disclosed graph cuts methods can be used at interactive speeds.
摘要翻译：传统的图形切割提供了一种用于生成半自动图像/音量分割的强大方法，但通常会超出可用的计算机功率。公开了用于粗化图像/体积的多级方法，其允许更快的处理和创建图形切割分割，而不牺牲图像的质量。公开的图形切割方法可以以交互速度使用。

90. 发明授权

US07630549B2 GPU accelerated multi-label digital photo and video editing 有权
标题翻译： GPU加速多标签数码照片和视频编辑
公开(公告)号：US07630549B2
公开(公告)日：2009-12-08
申请号：US11242549
申请日：2005-10-03
申请人： Shmuel Aharon , Leo Grady , Thomas Schiwietz
发明人： Shmuel Aharon , Leo Grady , Thomas Schiwietz
IPC分类号： G06K9/34
CPC分类号： G06T7/143 , G06T7/11 , G06T7/194 , G06T2207/10016 , G06T2207/20101
摘要： A method and system for segmenting an object in a digital image are disclosed. A user selects at least one foreground pixel or node located within the object and at least one background pixel or node located outside of the object. A random walk algorithm is performed to determine the boundaries of the object in the image. In a first step of the algorithm, a plurality of coefficients is determined. Next, a system of linear equations that include the plurality of coefficients are solved to determine a boundary of the object. The processing is performed by a graphics processing unit. The processing can be performed using the near-Euclidean LUV color space or a Lab color space. It is also preferred to use a Z-buffer in the graphics processing unit during processing. The object, once identified, can be further processed, for example, by being extracted from the image based on the determined boundary.
摘要翻译：公开了一种用于分割数字图像中的对象的方法和系统。用户选择位于对象内的至少一个前景像素或节点以及位于对象外部的至少一个背景像素或节点。执行随机游走算法来确定图像中对象的边界。在算法的第一步中，确定多个系数。接下来，解决包括多个系数的线性方程式的系统，以确定对象的边界。处理由图形处理单元执行。可以使用近欧几里德LUV色彩空间或Lab色彩空间进行处理。还优选在处理期间在图形处理单元中使用Z缓冲器。一旦被识别，该对象可以被进一步处理，例如通过基于所确定的边界从图像中提取。

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