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公开(公告)号：US20140221832A1
公开(公告)日：2014-08-07
申请号：US13928763
申请日：2013-06-27
IPC分类号： A61B8/00
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.
摘要翻译： 超声波采集参数的值在歧管空间中改变。 使用歧管减少要设置的参数数量。 使用与采集参数不同的虚拟参数来改变更多的采集参数。 在进一步的使用中，通过测量图像质量以反馈到虚拟参数调整，可以在自动化系统中获得最佳图像设置。
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公开(公告)号：US08885961B2
公开(公告)日：2014-11-11
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
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。
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公开(公告)号：US09918700B2
公开(公告)日：2018-03-20
申请号：US13928763
申请日：2013-06-27
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.
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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
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。
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5.发明授权公开(公告)号：US08478044B2
公开(公告)日：2013-07-02
申请号：US13155681
申请日：2011-06-08
申请人： Leo Grady , Noha Youssry El-Zehiry
发明人： Leo Grady , Noha Youssry El-Zehiry
IPC分类号： G06K9/34
CPC分类号： G06T7/162 , G06T7/11 , G06T2207/20101
摘要： A method for segmenting an object in a digital image includes computing, for each point vi in the image, weights wijk of a curvature clique vjvivk for each successive pair of edges eij, eik incident on point vi, decomposing each curvature clique into pairwise edge weights to form a new set of edges by adding, for all points vj, vk, an edge eij with weight wij, an edge eik with weight wik, and an edge ejk with weight wjk, where weight wij equals weight wik equals ½ wijk, and weight wjk equals −½ wijk, computing an indicator function of the points of the image indicative of whether each point belongs to an object of interest by minimizing a functional of the indicator function, and segmenting the object of interest from the image based on the value of the indicator function x at each image point.
摘要翻译： 用于分割数字图像中的对象的方法包括对于图像中的每个点vi计算针对入射到点vi上的每个连续的边eij，eik的曲率集合vjvivk的权重wijk，将每个曲率集合分解成成对边缘权重 通过向所有点vj，vk加上具有权重wij的边eij，具有权重wik的边eik和具有权重wjk的边ejk，其中权重wij等于权重wik等于½wijk，并且 权重wjk等于-1.5wijk，通过使指示符函数的功能最小化来计算指示每个点是否属于感兴趣对象的图像的指示符函数，并且基于该值从图像中分割感兴趣对象 指标函数x在每个图像点。
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6.发明申请公开(公告)号：US20120314949A1
公开(公告)日：2012-12-13
申请号：US13155681
申请日：2011-06-08
申请人： Leo Grady , Noha Youssry El-Zehiry
发明人： Leo Grady , Noha Youssry El-Zehiry
IPC分类号： G06K9/34
CPC分类号： G06T7/162 , G06T7/11 , G06T2207/20101
摘要： A method for segmenting an object in a digital image includes computing, for each point vi in the image, weights wijk of a curvature clique vivivk for each successive pair of edges eij, eik incident on point vi, decomposing each curvature clique into pairwise edge weights to form a new set of edges by adding, for all points vj, vk, an edge eij with weight wij, an edge eik with weight wik, and an edge ejk with weight wjk, where weight wij equals weight wik equals ½ wijk, and weight wjk equals −½ wijk, computing an indicator function of the points of the image indicative of whether each point belongs to an object of interest by minimizing a functional of the indicator function, and segmenting the object of interest from the image based on the value of the indicator function x at each image point.
摘要翻译： 用于对数字图像中的对象进行分割的方法包括：对于图像中的每个点vi，计算针对入射到点vi上的每个连续的边eij，eik的曲率分数viviv的权重wijk，将每个曲率集合分解为成对边缘权重 通过向所有点vj，vk加上具有权重wij的边eij，具有权重wik的边eik和具有权重wjk的边ejk，其中权重wij等于权重wik等于½wijk，并且 权重wjk等于-1.5wijk，通过使指示符函数的功能最小化来计算指示每个点是否属于感兴趣对象的图像的指示符函数，并且基于该值从图像中分割感兴趣对象 指标函数x在每个图像点。
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