公开(公告)号：US09918700B2

公开(公告)日：2018-03-20

申请号：US13928763

申请日：2013-06-27

申请人： Noha Youssry El-Zehiry ,  Michelle xiaohong Yan ,  Sara Good ,  Leo Grady

发明人： Noha Youssry El-Zehiry ,  Michelle xiaohong Yan ,  Sara Good ,  Leo Grady

IPC分类号： G06F19/00 ,  A61B8/00 ,  A61B8/08

CPC分类号： A61B8/54 ,  A61B8/5223 ,  A61B8/585 ,  G06F19/00 ,  G06F19/321 ,  G16H30/20 ,  G16H40/63 ,  G16H50/20

摘要： Values for ultrasound acquisition parameters are altered in a manifold space. The number of parameters to be set is reduced using a manifold. Virtual parameters different than the acquisition parameters are used to alter the greater number of acquisition parameters. In a further use, optimum image settings may be obtained in an automated system by measuring image quality for feeding back to virtual parameter adjustment.

公开(公告)号：US09594141B2

公开(公告)日：2017-03-14

申请号：US13633908

申请日：2012-10-03

申请人： Daniel Weller ,  Leo Grady ,  Lawrence Wald ,  Vivek K Goyal

发明人： Daniel Weller ,  Leo Grady ,  Lawrence Wald ,  Vivek K Goyal

IPC分类号： G01R33/341 ,  G01R33/58 ,  G01R33/561

CPC分类号： G01R33/5611

摘要： An MR imaging system uses multiple RF coils for acquiring corresponding multiple image data sets of a slice or volume of patient anatomy. An image data processor comprises at least one processing device conditioned for, deriving a first set of weights for weighted combination of k-space data of the multiple image data sets for generating a calibration data set comprising a subset of k-space data of composite image data representing the multiple image data sets. The image data processor uses the calibration data set in generating a first MR image data set, deriving the parameters of a probability distribution in response to the first set of weights and the first MR image data set and deriving a second set of weights and second MR image data set together using the probability distribution.

摘要翻译： MR成像系统使用多个RF线圈来获取患者解剖结构的切片或体积的相应的多个图像数据集。 图像数据处理器包括至少一个处理装置，该处理装置被调节为：为多个图像数据集的k空间数据的加权组合推导第一组加权，以产生包括合成图像的k空间数据子集的校准数据集 表示多个图像数据集的数据。 图像数据处理器使用校准数据集来生成第一MR图像数据集，响应于第一组权重和第一MR图像数据集导出概率分布的参数并导出第二组权重和第二MR 使用概率分布将图像数据集合在一起。

公开(公告)号：US08823374B2

公开(公告)日：2014-09-02

申请号：US13326622

申请日：2011-12-15

申请人： Daniel Weller ,  Vivek K Goyal ,  Jonathan Rizzo Polimeni ,  Leo Grady

发明人： Daniel Weller ,  Vivek K Goyal ,  Jonathan Rizzo Polimeni ,  Leo Grady

IPC分类号： G01V3/00 ,  G01R33/561

CPC分类号： G01R33/5611

摘要： An MR imaging system uses the multiple RF coils for acquiring corresponding multiple image data sets of the slice. An image data processor comprises at least one processing device conditioned for, generating a composite MR image data set representing a single image in a single non-iterative operation by performing a weighted combination of luminance representative data of individual corresponding pixels of the multiple image data sets in providing an individual pixel luminance value of the composite MR image data set. The image data processor reduces noise in the composite MR image data set by generating a reduced set of significant components in a predetermined transform domain representation of data representing the composite image to provide a de-noised composite MR image data set. An image generator comprises at least one processing device conditioned for, generating a composite MR image using the de-noised composite MR image data set.

摘要翻译： MR成像系统使用多个RF线圈来获取切片的相应多个图像数据集。 图像数据处理器包括至少一个处理装置，该处理装置被调节为：通过执行多个图像数据集合中各个对应像素的亮度代表数据的加权组合来生成在单个非迭代操作中表示单个图像的复合MR图像数据集 提供复合MR图像数据集合的单独像素亮度值。 图像数据处理器通过在表示合成图像的数据的预定变换域表示中生成缩减的重要分量集合来降低复合MR图像数据集中的噪声，以提供去噪复合MR图像数据集。 图像生成器包括至少一个处理装置，该处理装置被调节为使用去噪合成MR图像数据集生成复合MR图像。

公开(公告)号：US08811701B2

公开(公告)日：2014-08-19

申请号：US13291615

申请日：2011-11-08

申请人： Parmeshwar Khurd ,  Leo Grady ,  Ali Kamen ,  Mamadou Diallo ,  Kalpitkumar Gajera ,  Peter Gall ,  Martin Requardt ,  Berthold Kiefer ,  Clifford R. Weiss

发明人： Parmeshwar Khurd ,  Leo Grady ,  Ali Kamen ,  Mamadou Diallo ,  Kalpitkumar Gajera ,  Peter Gall ,  Martin Requardt ,  Berthold Kiefer ,  Clifford R. Weiss

IPC分类号： G06K9/00 ,  G06K9/34

CPC分类号： G06K9/6226 ,  G06T7/11 ,  G06T7/143 ,  G06T7/194 ,  G06T2207/10088 ,  G06T2207/20081 ,  G06T2207/20156 ,  G06T2207/30081

摘要： Automatic prostate localization in T2-weighted MR images facilitate labor-intensive cancer imaging techniques. Methods and systems to accurately segment the prostate gland in MR images are provided and address large variations in prostate anatomy and disease, intensity inhomogeneities, and artifacts induced by endorectal coils. A center of the prostate is automatically detected with a boosted classifier trained on intensity based multi-level Gaussian Mixture Model Expectation Maximization (GMM-EM) segmentations of the raw MR images. A shape model is used in conjunction with Multi-Label Random Walker (MLRW) to constrain the seeding process within MLRW.

摘要翻译： T2加权MR图像中的自动前列腺定位有利于劳动密集型癌症成像技术。 提供了准确分割MR图像前列腺的方法和系统，并解决了前列腺解剖和疾病，强度不均匀性以及直肠内线圈引起的假象的巨大变化。 用基于强度的多级高斯混合模型预期最大化（GMM-EM）原始MR图像分段训练的增强分类器自动检测前列腺的中心。 形状模型与多标签随机Walker（MLRW）结合使用，以限制MLRW内的播种过程。

公开(公告)号：US20130207652A1

公开(公告)日：2013-08-15

申请号：US13633908

申请日：2012-10-03

申请人： Daniel Weller ,  Leo Grady ,  Lawrence Wald ,  Vivek K. Goyal

发明人： Daniel Weller ,  Leo Grady ,  Lawrence Wald ,  Vivek K. Goyal

IPC分类号： G01R33/341 ,  G01R33/58

CPC分类号： G01R33/5611

摘要： An MR imaging system uses multiple RF coils for acquiring corresponding multiple image data sets of a slice or volume of patient anatomy. An image data processor comprises at least one processing device conditioned for, deriving a first set of weights for weighted combination of k-space data of the multiple image data sets for generating a calibration data set comprising a subset of k-space data of composite image data representing the multiple image data sets. The image data processor uses the calibration data set in generating a first MR image data set, deriving the parameters of a probability distribution in response to the first set of weights and the first MR image data set and deriving a second set of weights and second MR image data set together using the probability distribution.

摘要翻译： MR成像系统使用多个RF线圈来获取患者解剖结构的切片或体积的相应的多个图像数据集。 图像数据处理器包括至少一个处理装置，该处理装置被调节为：为多个图像数据集的k空间数据的加权组合推导第一组加权，以产生包括合成图像的k空间数据子集的校准数据集 表示多个图像数据集的数据。 图像数据处理器使用校准数据集来生成第一MR图像数据集，响应于第一组权重和第一MR图像数据集导出概率分布的参数并导出第二组权重和第二MR 使用概率分布将图像数据集合在一起。

公开(公告)号：US20120057765A1

公开(公告)日：2012-03-08

申请号：US13182820

申请日：2011-07-14

申请人： Noha Youssry El-Zehiry ,  Leo Grady

发明人： Noha Youssry El-Zehiry ,  Leo Grady

IPC分类号： G06K9/00 ,  G06K9/40

CPC分类号： G06T5/002

摘要： A method for removing noise from an image includes receiving image data including a plurality of pixels. A graph including a plurality of nodes and a plurality of edges interconnecting the nodes is formulated. Each pixel of the image data is represented as a node of the graph and each edge of the graph is assigned a weight based on a penalty function applied to the nodes connected by the edge where the penalty function is less when a value of a given pixel of the plurality of pixels is between or equal to the values of two neighboring pixels than when the value of the given pixel is either greater than or less than the values of both of the two neighboring pixels. A total penalty of the graph is minimized. A denoised image is provided based on the total penalty-minimized graph.

摘要翻译： 从图像中去除噪声的方法包括接收包括多个像素的图像数据。 制定了包括多个节点和互连节点的多个边缘的图形。 图像数据的每个像素被表示为图形的节点，并且当给定像素的值时，基于施加到由边缘连接的节点的惩罚函数分配图的每个边缘的权重 与给定像素的值大于或小于两个相邻像素的值相比，多个像素的值在或等于两个相邻像素的值。 图形的总惩罚最小化。 基于总惩罚最小化图提供去噪图像。

公开(公告)号：US08131076B2

公开(公告)日：2012-03-06

申请号：US12031966

申请日：2008-02-15

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： G06K9/342

摘要： A method for processing an object in image data includes the steps of drawing a contour on a pre-segmentation of an object in image data, generating at least one seed point on the pre-segmentation from an intersection of the contour and the pre-segmentation, providing a weighting factor between the seed points and the pre-segmentation, and segmenting the pre-segmentation using the seed points and the weighting factor to generate a new pre-segmentation.

摘要翻译： 一种用于处理图像数据中的对象的方法包括以下步骤：对图像数据中的对象的预分割绘制轮廓，从轮廓和预分割的交点产生预分割上的至少一个种子点 提供种子点和预分割之间的加权因子，以及使用种子点和加权因子分割预分割以产生新的预分割。

公开(公告)号：US08131035B2

公开(公告)日：2012-03-06

申请号：US12025979

申请日：2008-02-05

申请人： Leo Grady ,  Fred S. Azar

发明人： Leo Grady ,  Fred S. Azar

IPC分类号： G06K9/00

CPC分类号： G06K9/0014 ,  G06T7/11 ,  G06T7/162 ,  G06T2207/10056 ,  G06T2207/20072 ,  G06T2207/20101 ,  G06T2207/30024

摘要： A computer implemented method for differentiating between elements of an image and a background includes inputting an image comprising pixels forming a view of the elements and a background, providing a model for assigning a probability of belonging to a predefined class to each of the pixels, assigning a probability to each of the pixels of belonging to the predefined class, labeling each of the pixels according to a corresponding probability and a predefined threshold, determining boundaries between groups of like-labeled pixels, and outputting a visualization of the boundaries.

摘要翻译： 用于区分图像和背景的元素的计算机实现方法包括输入包括形成元素和背景的视图的像素的图像，提供用于将属于预定类的概率分配给每个像素的模型，分配 属于预定义类别的每个像素的概率，根据相应的概率和预定义的阈值标记每个像素，确定相似标记的像素的组之间的边界，并输出边界的可视化。

公开(公告)号：US07907777B2

公开(公告)日：2011-03-15

申请号：US11273187

申请日：2005-11-14

申请人： Shmuel Aharon ,  Leo Grady ,  Thomas Schiwietz

发明人： Shmuel Aharon ,  Leo Grady ,  Thomas Schiwietz

IPC分类号： G06K9/34 ,  G06K9/48

CPC分类号： G06K9/6252 ,  G06K9/6232

摘要： A manifold learning technique is applied to the problem of discriminating an object boundary between neighboring pixels/voxels in an image. The manifold learning technique is referred to as locality preserving projections. The application is for multi-channel images, which may include registered images/volumes, a time series of images/volumes, images obtained using different pulse sequences or contrast factors, radar and color photographs.

摘要翻译： 歧管学习技术被应用于鉴别图像中相邻像素/体素之间的对象边界的问题。 歧管学习技术被称为局部保留投影。 应用于多通道图像，其可以包括记录的图像/体积，图像/体积的时间序列，使用不同脉冲序列或对比度因子获得的图像，雷达和彩色照片。

公开(公告)号：US07711168B2

公开(公告)日：2010-05-04

申请号：US11582907

申请日：2006-10-18

申请人： Leo Grady

发明人： Leo Grady

IPC分类号： G06K9/00 ,  A61B6/00

CPC分类号： G06T7/162 ,  G06T7/12 ,  G06T7/181 ,  G06T2207/10081 ,  G06T2207/20101 ,  G06T2207/30104

摘要： A method for tracking images of a blood vessel wherein user indication of the source and terminus of an image of the blood vessel is provided and the Dijkstra algorithm is used to find the shortest path along the current established from a steady-state circuit model with the current source and sink given by user-placed seeds on the image. Since the method looks at the change in current flow, multiply-connected objects that are either significantly larger or smaller than the vessel will be ignored since the current flow will change dramatically. In contrast, a simple, shortest-path, approach between the source and terminus of the vessel would be unlikely to stay within the vessel if it were to touch another object with similar intensity.

摘要翻译： 一种用于跟踪血管图像的方法，其中提供了血管图像的源和末端的用户指示，并且使用Dijkstra算法找到沿着从稳态电路模型建立的电流的最短路径，其中 由用户放置的种子在图像上给出的当前源和信宿。 由于该方法考察了当前流量的变化，所以显着大于或小于容器的多连接对象将被忽略，因为当前的流量将会发生显着变化。 相比之下，如果要接触另一个具有相似强度的物体，船只的源头和末端之间的简单，最短路径的方法将不太可能停留在船舶内。