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1.发明授权公开(公告)号：US07801708B2
公开(公告)日：2010-09-21
申请号：US11462834
申请日：2006-08-07
CPC分类号： G06K9/00214 , G06T7/30 , G06T19/00 , G06T2207/30004 , H04R25/652 , H04R25/658 , H04R2225/77
摘要： A method for registering two three-dimensional shapes is disclosed whereby the two shapes are represented as zero level set of signed distance functions and the energy between these two functions is minimized. In a first embodiment, two undetailed ear impression models are rigidly registered with each other. In another embodiment, a detailed ear impression is initially aligned with an undetailed ear impression model and, then, the detailed ear impression model is rigidly registered with the undetailed ear impression model as a function of the signed distance functions. In accordance with another embodiment, an undetailed ear impression model is non-rigidly registered with a template ear impression model as a function of the signed distance functions.
摘要翻译： 公开了一种用于记录两个三维形状的方法，其中两个形状被表示为有限距离函数的零级集合，并且这两个函数之间的能量被最小化。 在第一实施例中，两个不详细的耳朵印象模型彼此刚性地对齐。 在另一个实施例中，详细的耳朵印象最初与未详细的耳朵印象模型对准，然后，详细的耳朵印象模型与未签名的耳朵印象模型刚性地记录为有符号距离函数的函数。 根据另一个实施例，根据签名的距离函数，未详细地将耳朵印象模型与模板耳朵印象模型非刚性地对齐。
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公开(公告)号：US08086427B2
公开(公告)日：2011-12-27
申请号：US11462804
申请日：2006-08-07
申请人： Tong Fang , Gozde Unal , Fred McBagonluri , Alexander Zouhar , Hui Xie , Gregory G. Slabaugh , Jason Jenn-Kwei Tyan
发明人： Tong Fang , Gozde Unal , Fred McBagonluri , Alexander Zouhar , Hui Xie , Gregory G. Slabaugh , Jason Jenn-Kwei Tyan
CPC分类号： H04R25/652 , H04R25/658 , H04R25/70 , H04R2225/77
摘要： A method of designing hearing aid molds is disclosed whereby two shapes corresponding to graphical images of ear impressions are registered with each other to facilitate joint processing of the hearing aid design. In a first embodiment, a first graphical representation of a first ear impression is received and a feature, such as the aperture of the ear impression, is identified on that graphical model. A first vector is generated that represents the orientation and shape of that first feature. The three-dimensional translation and rotation of that first vector are determined that are necessary to align the first vector with a second vector representing the orientation and a shape of a feature, once again such as the aperture, of a second ear impression. In another embodiment, this alignment is then refined by minimizing the sum of the distances between points on the first and second graphical representations.
摘要翻译： 公开了一种设计助听器模具的方法，其中对应于耳朵印象的图形图像的两个形状彼此对准以便于助听器设计的联合处理。 在第一实施例中，接收第一耳朵印象的第一图形表示，并且在该图形模型上识别诸如耳朵印象的孔的特征。 生成表示该第一特征的取向和形状的第一向量。 确定该第一矢量的三维平移和旋转是必要的，以使第一矢量与代表第二耳朵印象的特征的取向和形状的第二矢量（例如孔）对齐。 在另一个实施例中，然后通过最小化第一和第二图形表示上的点之间的距离之和来改进该对准。
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公开(公告)号：US07979244B2
公开(公告)日：2011-07-12
申请号：US11462869
申请日：2006-08-07
申请人： Tong Fang , Alexander Zouhar , Gozde Unal , Gregory G. Slabaugh , Jason Jenn-Kwei Tyan , Fred McBagonluri
发明人： Tong Fang , Alexander Zouhar , Gozde Unal , Gregory G. Slabaugh , Jason Jenn-Kwei Tyan , Fred McBagonluri
CPC分类号： G06K9/6211 , G06K9/00214 , G06T7/33 , G06T17/00 , G06T19/00 , G06T2207/10028 , G06T2207/30004 , G06T2219/008 , H04R25/652 , H04R25/658 , H04R2225/77
摘要： A method identifying apertures of ear impressions is disclosed. A plurality of contour lines associated with an ear impression are determined and a difference value between a value of a characteristic, such as the diameter, of each contour line and that characteristic of an adjacent contour line is determined. The aperture is identified as being that contour line having the greatest difference value. The contour lines are determined by identifying where a plane intersects the surface of the graphical representations. In another embodiment, the contour lines are assigned a weight. A contour index is then calculated for each contour line as a function of the difference value and these weights. According to this embodiment, the aperture is identified as being a contour line that is adjacent to that contour line having the greatest contour index.
摘要翻译： 公开了一种识别耳朵印象孔径的方法。 确定与耳朵印象相关联的多个轮廓线，并且确定每个轮廓线的特征值（例如直径）与相邻轮廓线的特征值之间的差值。 孔径被识别为具有最大差值的轮廓线。 通过识别平面与图形表示的表面相交的位置来确定轮廓线。 在另一个实施例中，轮廓线被分配一个重量。 然后针对每个轮廓线计算轮廓索引作为差值和这些权重的函数。 根据该实施例，孔径被识别为与具有最大轮廓索引的轮廓线相邻的轮廓线。
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4.发明授权Method and apparatus for the rigid registration of 3D ear impression shapes with skeletons 失效3D耳朵印象形状与骨骼刚性配准的方法和装置公开(公告)号：US07991594B2
公开(公告)日：2011-08-02
申请号：US11462856
申请日：2006-08-07
申请人： Gozde Unal , Alexander Zouhar , Gregory G. Slabaugh , Tong Fang , Jason Jenn-Kwei Tyan , Rupen Melkisetoglu
发明人： Gozde Unal , Alexander Zouhar , Gregory G. Slabaugh , Tong Fang , Jason Jenn-Kwei Tyan , Rupen Melkisetoglu
CPC分类号： H04R25/652 , G06K9/00214 , G06K9/00362 , G06T7/344 , G06T2200/04 , G06T2207/10028 , G06T2207/30004 , H04R2225/77
摘要： A method of designing hearing aid molds is disclosed whereby skeletons, or simplified models, of two ear impressions are used to register the graphical representations of the molds to facilitate the joint design of hearing aid shells. The center points of at least a portion of contour lines on the surface of each ear impression are identified. Then, for each ear impression, by connecting these center points to each adjacent center point, a skeleton that represents a simplified model of an ear impression is generated. Vectors describing the distance and direction from the points of each skeleton to an anatomical feature of each ear impression are identified to obtain a correspondence between the points of each skeleton. Three-dimensional translations and rotations of a feature vector of at least one of the skeletons are determined to achieve alignment of the skeleton of one ear impression with the skeleton of another impression.
摘要翻译： 公开了一种设计助听器模具的方法，其中使用两个耳朵印模的骨架或简化模型来注册模具的图形表示以便于助听器外壳的联合设计。 识别每个耳朵印象的表面上的轮廓线的至少一部分的中心点。 然后，对于每个耳朵的印象，通过将这些中心点连接到每个相邻的中心点，生成表示耳朵印象的简化模型的骨架。 识别描述从每个骨骼的点到每个耳朵印象的解剖特征的距离和方向的向量以获得每个骨架的点之间的对应关系。 确定至少一个骨骼的特征向量的三维平移和旋转以实现一个耳朵的骨骼与另一个印象的骨骼的对准。
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公开(公告)号：US07333105B2
公开(公告)日：2008-02-19
申请号：US11067151
申请日：2005-02-24
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。
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6.发明授权System and method for structure enhancement and noise reduction in medical images 失效医学图像中结构增强和降噪的系统和方法公开(公告)号：US08139891B2
公开(公告)日：2012-03-20
申请号：US11926877
申请日：2007-10-29
IPC分类号： G06K9/46 , G06K9/66 , G06K9/40 , G06K9/64 , G06K9/36 , G06K9/20 , G06K1/00 , H04N5/228 , H04N7/01 , H04N11/20 , H04N1/40 , G06F15/00 , G03F3/08
CPC分类号： G06K9/40 , G06T5/002 , G06T5/008 , G06T5/20 , G06T2207/10072 , G06T2207/20016 , G06T2207/20028 , G06T2207/30101
摘要： A method and system for structure enhancement and noise reduction of medical images using adaptive filtering is disclosed. The method utilizes feature estimation methods to determine multiple feature values for each pixel in an input image. Each pixel is then filtered using a filter type selected based on the feature values for that pixel.
摘要翻译： 公开了一种使用自适应滤波的医学图像的结构增强和降噪的方法和系统。 该方法利用特征估计方法来确定输入图像中每个像素的多个特征值。 然后使用基于该像素的特征值选择的滤波器类型来过滤每个像素。
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7.发明授权公开(公告)号：US08280125B2
公开(公告)日：2012-10-02
申请号：US12012385
申请日：2008-02-01
申请人： Gregory G. Slabaugh , Gozde Unal , Tong Fang , Brian Whited , Jarek Rossignac
发明人： Gregory G. Slabaugh , Gozde Unal , Tong Fang , Brian Whited , Jarek Rossignac
IPC分类号： G06K9/00
CPC分类号： G06T7/149 , G06T7/11 , G06T2207/30101
摘要： A method and system for segmenting tubular or stroke-like structures in 2D images is disclosed. Examples of such structures include, but are not limited to, blood vessels, bones, roads, rivers, electrical wirings, and brush-strokes. User inputs identifying a first region on the image inside of a tubular structure and a second region of the image outside of the tubular structure are received. Based on this information, an ordered series of pearls are generated along the tubular structure. Pearls are 2D disks, each having a center location and a radius determined based on local pixel intensities in the image. A continuous model of the tubular structure is generated by interpolating the center locations and radii of the ordered series of pearls.
摘要翻译： 公开了一种用于在2D图像中分割管状或笔触状结构的方法和系统。 这种结构的实例包括但不限于血管，骨骼，道路，河流，电气布线和笔触。 接收识别管状结构内部的图像上的第一区域和管状结构外部的图像的第二区域的用户输入。 基于该信息，沿管状结构产生有序的珍珠系列。 珍珠是2D盘，每个盘具有基于图像中的局部像素强度确定的中心位置和半径。 通过内插有序系列珍珠的中心位置和半径来产生管状结构的连续模型。
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8.发明授权3D ball skinning using partial differential equations for generation of smooth tubular surfaces 有权使用偏微分方程的3D球剥皮生成光滑的管状表面公开(公告)号：US08218910B2
公开(公告)日：2012-07-10
申请号：US12413913
申请日：2009-03-30
申请人： Gregory G. Slabaugh , Jaroslaw Rossignac , Brian Whited , Tong Fang , Gozde Unal
发明人： Gregory G. Slabaugh , Jaroslaw Rossignac , Brian Whited , Tong Fang , Gozde Unal
IPC分类号： G06K9/32
CPC分类号： G06T17/10
摘要： A method of computing a continuous interpolation of a discrete set of three-dimensional (3D) balls, including generating an initial skin, wherein the initial skin is a surface comprised of splines and wherein the splines touch each ball along a circle that is tangent to the ball, solving a first differential equation to minimize the initial skin's surface area or solving a second differential equation to minimize a squared mean curvature of the initial skin's surface, wherein the result of solving the first or second differential equations is an updated skin; and repeating the steps of solving the first or second differential equations for the updated skin, and then, repeating the steps of solving the first or second differential equations for each subsequently updated skin until a desired skin is realized.
摘要翻译： 一种计算三维（3D）球的离散组的连续插值的方法，包括生成初始皮肤，其中所述初始皮肤是由样条线组成的表面，并且其中所述花键沿着与所述三维 球，解决第一微分方程以最小化初始皮肤的表面积或求解第二微分方程以最小化初始皮肤表面的平均平均曲率，其中求解第一或第二微分方程的结果是更新的皮肤; 并且重复解决用于更新的皮肤的第一或第二微分方程的步骤，然后重复以下步骤：为每个随后更新的皮肤求解第一或第二微分方程，直到实现期望的皮肤。
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9.发明授权公开(公告)号：US07957591B2
公开(公告)日：2011-06-07
申请号：US11538849
申请日：2006-10-05
IPC分类号： G06K9/34
CPC分类号： G06T7/11 , G06T2207/10072 , G06T2207/20104 , G06T2207/20156 , G06T2207/30096
摘要： Disclosed is a method and system for propagating information about an image to segment a target structure. An input to denote a region of interest of the image containing the target structure is received. A first seed is set outside of the target structure and a second seed is set inside the target structure. A first partial differential equation (PDE) associated with the first seed is solved and a second PDE associated with the second seed is solved to segment the image.
摘要翻译： 公开了一种用于传播关于图像的信息以分割目标结构的方法和系统。 接收用于表示包含目标结构的图像的感兴趣区域的输入。 将第一种子设置在目标结构之外，并且将第二种子设置在目标结构内。 解决与第一种子相关联的第一偏微分方程（PDE），并且解决与第二种子相关联的第二PDE以分割图像。
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10.发明授权Method and system for image segmentation by evolving radial basis functions 有权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。
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