专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

31. 发明授权

US07925087B2 Method and system for image segmentation by evolving radial basis functions 有权
标题翻译：通过演化径向基函数进行图像分割的方法和系统
公开(公告)号：US07925087B2
公开(公告)日：2011-04-12
申请号：US11926857
申请日：2007-10-29
申请人： Gregory G. Slabaugh , Gozde Unal
发明人： Gregory G. Slabaugh , Gozde Unal
IPC分类号： G06K9/34
CPC分类号： G06K9/6207 , G06T7/12 , G06T7/149
摘要： A method and system for image segmentation by evolving radial basis functions (RBFs) is disclosed. A set of RBFs define a contour on an image. The contour is the zero level set of an implicit function defined by the RBFs. The RBFs are weighted and parameterized by multiple parameters, such as center point, standard deviation, and orientation. The contour is iteratively deformed by updating the weight and each of the parameters of each of the RBFs based on each pixel of the contour, until the contour converges. The parameters and the weight of each RBF is updated using coupled set of differential equations derived based from a region-based or boundary-based image segmentation energy formulation. The final contour at a convergence defines boundaries of a target object or region in the image.
摘要翻译：公开了一种通过演化径向基函数（RBF）进行图像分割的方法和系统。一组RBF定义图像上的轮廓。轮廓是由RBF定义的隐含函数的零级集合。 RBF通过多个参数进行加权和参数化，如中心点，标准偏差和方向。通过基于轮廓的每个像素更新每个RBF的权重和每个参数，轮廓收敛，迭代地变形。使用从基于区域或基于边界的图像分割能量公式导出的耦合的微分方程组来更新每个RBF的参数和权重。收敛的最终轮廓定义图像中目标对象或区域的边界。

32. 发明授权

US07561728B2 Detection of intervertebral disk orientation in spine images using curve evolution 失效
标题翻译：使用曲线演化检测脊柱图像中的椎间盘方向
公开(公告)号：US07561728B2
公开(公告)日：2009-07-14
申请号：US11359831
申请日：2006-02-22
申请人： Amer Abufadel , Gregory G. Slabaugh , Benjamin Odry , Li Zhang , Gozde Unal
发明人： Amer Abufadel , Gregory G. Slabaugh , Benjamin Odry , Li Zhang , Gozde Unal
IPC分类号： G06K9/00
CPC分类号： G06T7/149 , G06T7/12 , G06T2207/10088 , G06T2207/20104 , G06T2207/20156 , G06T2207/30012
摘要： A computer-implemented method for vertebrae segmentation includes providing an image of a plurality of vertebrae, and determining a seed in each of at least two adjacent vertebrae in the image. The method further includes mapping a unit square to the seeds in the image as corresponding shape constraints on a segmentation, evolving the shape constraints to determine the segmentation of the adjacent vertebrae, wherein evolutions of the shape constraints interact, and outputting a segmented image indicating a location of the vertebra.
摘要翻译：用于椎骨分割的计算机实现的方法包括提供多个椎骨的图像，以及确定图像中的至少两个相邻椎骨中的每一个中的种子。该方法还包括将图像中的单位平方映射为对分割的对应形状约束，演化形状约束以确定相邻椎骨的分割，其中形状约束的演化相互作用，并输出指示椎骨的位置。

33. 发明申请

US20070242864A1 System and Method For Feature Detection In Ultrasound Images 有权
标题翻译：超声图像中特征检测的系统和方法
公开(公告)号：US20070242864A1
公开(公告)日：2007-10-18
申请号：US11733281
申请日：2007-04-10
申请人： Gregory G. Slabaugh , Gozde Unal , Ti-chiun Chang
发明人： Gregory G. Slabaugh , Gozde Unal , Ti-chiun Chang
IPC分类号： G06K9/00
CPC分类号： G06K9/40 , G06K9/4609
摘要： A system and method for feature detection in ultrasound images is disclosed. The method estimates speckle distributions in windows on opposing sides of a pixel of an ultrasound image. The divergence is calculated for the pixel between the estimated speckle distributions in the windows. These steps are performed for each pixel in the ultrasound image, and a feature map is generated based on the divergence calculated between the estimated speckle distributions for each pixel.
摘要翻译：公开了一种用于超声图像中的特征检测的系统和方法。该方法估计超声图像的像素的相对侧的窗口中的斑点分布。对于窗口中估计的斑点分布之间的像素计算发散。对超声图像中的每个像素执行这些步骤，并且基于在每个像素的估计散斑分布之间计算的发散度来生成特征图。

34. 发明授权

US07620226B2 Semi-local active contour for a faint region detection in knee CT images 失效
标题翻译：半局部活动轮廓用于膝盖CT图像中的微弱区域检测
公开(公告)号：US07620226B2
公开(公告)日：2009-11-17
申请号：US11258422
申请日：2005-10-25
申请人： Gozde Unal , Gregory G. Slabaugh , Hong Shen
发明人： Gozde Unal , Gregory G. Slabaugh , Hong Shen
IPC分类号： G06K9/00
CPC分类号： G06T7/149 , G06T7/12 , G06T2207/10081 , G06T2207/20161 , G06T2207/30008
摘要： An exemplary method of detecting a structure in a three-dimensional (3D) computed tomography (“CT”) knee image is provided. An intensity prior mask is created based on a two-dimensional (2D) slice of the CT image. A seed point in the 2D slice is received or estimated. The seed point is in a Hoffa's pad region. A geometric prior mask is created based on the seed point. The intensity prior mask and the geometric mask are combined to form a region mask. A level-set contour is segmented from the 2D slice. The step of segmenting is constrained by the region mask.
摘要翻译：提供了一种检测三维（3D）计算机断层摄影（CT）膝盖图像中的结构的示例性方法。基于CT图像的二维（2D）切片创建强度先验掩模。接收或估计2D切片中的种子点。种子点在Hoffa的垫区域。基于种子点创建几何先验掩模。强度先验掩模和几何掩模被组合以形成区域掩模。水平集轮廓从2D切片分割。分割步骤受区域掩码约束。

35. 发明授权

US07400767B2 System and method for graph cuts image segmentation using a shape prior 有权
标题翻译：用于图形的系统和方法使用以前的形状切割图像分割
公开(公告)号：US07400767B2
公开(公告)日：2008-07-15
申请号：US11456947
申请日：2006-07-12
申请人： Gregory G. Slabaugh , Gozde Unal
发明人： Gregory G. Slabaugh , Gozde Unal
IPC分类号： G06K9/34
CPC分类号： G06K9/6206 , G06K9/342
摘要： A system and method for graph cut image segmentation using a shape prior is provided. In this method, an initial shape is applied to a portion of an image to be segmented. A narrowband is formed around a border of the shape, and a minimized graph cut is calculated for a portion of the image within the narrowband. The shape is then adjusted using the shape prior to fit the minimized graph cut. This method can be iteratively performed so that the shape evolves to segment an object from an image. The shape prior can be a parametric shape, such as an ellipse, or a statistical shape eigenspace calculated based on one or more training shapes.
摘要翻译：提供了一种使用形状先前的图形切割图像分割的系统和方法。在该方法中，将初始形状应用于待分割图像的一部分。在形状的边界周围形成窄带，并且对于窄带内的图像的一部分计算最小化的图形切割。然后在适合最小化图形切割之前使用形状来调整形状。可以迭代地执行该方法，使得形状演变成从图像分割对象。前面的形状可以是参数形状，例如椭圆，或者基于一个或多个训练形状计算的统计形状本征空间。

36. 发明申请

US20080112617A1 Method and System for Image Segmentation by Evolving Radial Basis functions 有权
标题翻译：通过演进径向基函数进行图像分割的方法和系统
公开(公告)号：US20080112617A1
公开(公告)日：2008-05-15
申请号：US11926857
申请日：2007-10-29
申请人： Gregory G. Slabaugh , Gozde Unal
发明人： Gregory G. Slabaugh , Gozde Unal
IPC分类号： G06K9/34
CPC分类号： G06K9/6207 , G06T7/12 , G06T7/149
摘要： A method and system for image segmentation by evolving radial basis functions (RBFs) is disclosed. A set of RBFs define a contour on an image. The contour is the zero level set of an implicit function defined by the RBFs. The RBFs are weighted and parameterized by multiple parameters, such as center point, standard deviation, and orientation. The contour is iteratively deformed by updating the weight and each of the parameters of each of the RBFs based on each pixel of the contour, until the contour converges. The parameters and the weight of each RBF is updated using coupled set of differential equations derived based from a region-based or boundary-based image segmentation energy formulation. The final contour at a convergence defines boundaries of a target object or region in the image.
摘要翻译：公开了一种通过演化径向基函数（RBF）进行图像分割的方法和系统。一组RBF定义图像上的轮廓。轮廓是由RBF定义的隐含函数的零级集合。 RBF通过多个参数进行加权和参数化，如中心点，标准偏差和方向。通过基于轮廓的每个像素更新每个RBF的权重和每个参数，轮廓收敛，迭代地变形。使用从基于区域或基于边界的图像分割能量公式导出的耦合的微分方程组来更新每个RBF的参数和权重。收敛的最终轮廓定义图像中目标对象或区域的边界。

37. 发明授权

US07333105B2 Active polyhedron for 3D image segmentation 失效
标题翻译：用于3D图像分割的活动多面体
公开(公告)号：US07333105B2
公开(公告)日：2008-02-19
申请号：US11067151
申请日：2005-02-24
申请人： Gregory G. Slabaugh , Gozde Unal , Jason Jenn-Kwei Tyan
发明人： Gregory G. Slabaugh , Gozde Unal , Jason Jenn-Kwei Tyan
IPC分类号： G06T17/00 , G06K9/34
CPC分类号： G06K9/6207 , G06K9/00214
摘要： A method for three dimensional image segmentation of a volume of interest includes providing a three dimensional image of the volume of interest, providing an initial polyhedron having a plurality of mesh vertices within the three dimension image and determining an image-based speed at each vertex of the polyhedron using an ordinary differential equation (ODE) that describes the vertex motion of the polyhedron. The method further includes determining a regularization term at each vertex of the polyhedron, updating the plurality of mesh vertices of the polyhedron, integrating the image-based speed of each vertex over a face of the polyhedron, and determining an output polyhedron approximating a shape of the volume of interest.
摘要翻译：用于感兴趣体积的三维图像分割的方法包括提供感兴趣体积的三维图像，提供在三维图像内具有多个网格顶点的初始多面体，并且确定每个顶点处的基于图像的速度多面体使用描述多面体顶点运动的常微分方程（ODE）。该方法还包括确定多面体的每个顶点处的正则化项，更新多面体的多个网格顶点，将多个顶点的每个顶点的基于图像的速度整合在多面体的面上，以及确定接近多面体的形状的输出多面体感兴趣的数量。

38. 发明授权

US08157736B2 System and method for feature detection in ultrasound images 有权
标题翻译：超声图像中特征检测的系统和方法
公开(公告)号：US08157736B2
公开(公告)日：2012-04-17
申请号：US11733281
申请日：2007-04-10
申请人： Gregory G. Slabaugh , Gozde Unal , Ti-chiun Chang
发明人： Gregory G. Slabaugh , Gozde Unal , Ti-chiun Chang
IPC分类号： A61B8/00 , A61B8/14
CPC分类号： G06K9/40 , G06K9/4609
摘要： A system and method for feature detection in ultrasound images is disclosed. The method estimates speckle distributions in windows on opposing sides of a pixel of an ultrasound image. The divergence is calculated for the pixel between the estimated speckle distributions in the windows. These steps are performed for each pixel in the ultrasound image, and a feature map is generated based on the divergence calculated between the estimated speckle distributions for each pixel.
摘要翻译：公开了一种用于超声图像中的特征检测的系统和方法。该方法估计超声图像的像素的相对侧的窗口中的斑点分布。对于窗口中估计的斑点分布之间的像素计算发散。对超声图像中的每个像素执行这些步骤，并且基于在每个像素的估计散斑分布之间计算的发散度来生成特征图。

39. 发明申请

US20080075345A1 Method and System For Lymph Node Segmentation In Computed Tomography Images 审中-公开
标题翻译：计算机断层扫描图像中淋巴结分割的方法和系统
公开(公告)号：US20080075345A1
公开(公告)日：2008-03-27
申请号：US11857801
申请日：2007-09-19
申请人： Gozde Unal , Atilla Kiraly , Gregory Slabaugh , Carol Novak , Tong Fang
发明人： Gozde Unal , Atilla Kiraly , Gregory Slabaugh , Carol Novak , Tong Fang
IPC分类号： G06K9/62
CPC分类号： G06T7/149 , G06T7/12 , G06T2207/10081 , G06T2207/20116 , G06T2207/30096
摘要： A method and system for lymph node segmentation in computed tomography (CT) images is disclosed. A location of a lymph node in a CT image slice is received. Intensity constraints are determined based on a histogram analysis of the CT image slice, and a spatial analysis of the intensity constrained CT image slice is performed using edge detection. An initial contour is estimated based on the lymph node location and the spatial analysis. The lymph node is then segmented by propagating the initial contour using an evolving elliptical model to define the lymph node boundaries.
摘要翻译：公开了一种计算机断层扫描（CT）图像中淋巴结分割的方法和系统。接收CT图像切片中淋巴结的位置。强度约束基于CT图像切片的直方图分析确定，并且使用边缘检测进行强度约束CT图像切片的空间分析。基于淋巴结位置和空间分析估计初始轮廓。然后通过使用演进的椭圆模型传播初始轮廓来分割淋巴结以限定淋巴结边界。

40. 发明申请

US20070167710A1 Method and Apparatus for Inner Wall Extraction and Stent Strut Detection Using Intravascular Optical Coherence Tomography Imaging 有权
标题翻译：使用血管内光学相干断层扫描成像的内壁提取和支架支架检测的方法和装置
公开(公告)号：US20070167710A1
公开(公告)日：2007-07-19
申请号：US11555806
申请日：2006-11-02
申请人： Gozde Unal , Yan Yang , Gregory Slabaugh , Tong Fang
发明人： Gozde Unal , Yan Yang , Gregory Slabaugh , Tong Fang
IPC分类号： A61B5/05
CPC分类号： A61B5/6852 , A61B5/0066 , A61B5/0086
摘要： A method and apparatus for automatically detecting stent struts in an image is disclosed whereby the inner boundary, or lumen, of an artery wall is first detected automatically and intensity profiles along rays in the image are determined. In one embodiment, detection of the lumen boundary may be accomplished, for example, by evolving a geometric shape, such as an ellipse, using a region-based algorithm technique, a geodesic boundary-based algorithm technique or a combination of the two techniques. Once the lumen boundary has been determined, in another embodiment, the stent struts are detected using a ray shooting algorithm whereby a ray is projected outward in the OCT image starting from the position in the image of the OCT sensor. The intensities of the pixels along the ray are used to detect the presence of a stent strut in the image.
摘要翻译：公开了一种用于自动检测图像中的支架支柱的方法和装置，其中首先自动检测动脉壁的内边界或内腔，并且确定与图像中的光线的强度分布。在一个实施例中，可以例如通过使用基于区域的算法技术，基于测地边界的算法技术或两种技术的组合来演示诸如椭圆的几何形状来实现流明边界的检测。一旦已经确定了管腔边界，在另一个实施例中，使用射线射击算法来检测支架支柱，由此射线从OCT传感器的图像中的位置开始向OCT中投射。使用沿着光线的像素的强度来检测图像中支架支柱的存在。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式