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1. 发明授权

US08280125B2 Method and system for segmentation of tubular structures using pearl strings 有权
标题翻译：使用珍珠串分割管状结构的方法和系统
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。

2. 发明授权

US08218910B2 3D ball skinning using partial differential equations for generation of smooth tubular surfaces 有权
标题翻译：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。

3. 发明授权

US07957591B2 Method and apparatus for performing segmentation based on partial differential equations 有权
标题翻译：基于偏微分方程进行分割的方法和装置
公开(公告)号：US07957591B2
公开(公告)日：2011-06-07
申请号：US11538849
申请日：2006-10-05
申请人： Gozde Unal , Bertrand Peny , Gregory G. Slabaugh , Christopher Alvino , Tong Fang
发明人： Gozde Unal , Bertrand Peny , Gregory G. Slabaugh , Christopher Alvino , Tong Fang
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。

4. 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。

5. 发明授权

US07831078B2 System and method for statistical shape model based segmentation of intravascular ultrasound and optical coherence tomography images 有权
标题翻译：用于基于统计形态模型的血管内超声和光学相干断层扫描图像分割的系统和方法
公开(公告)号：US07831078B2
公开(公告)日：2010-11-09
申请号：US11779413
申请日：2007-07-18
申请人： Gozde Unal , Susann Bucher , Gregory G. Slabaugh , Tong Fang
发明人： Gozde Unal , Susann Bucher , Gregory G. Slabaugh , Tong Fang
IPC分类号： G06K9/00
CPC分类号： G06K9/621 , G06K2209/05 , G06T7/12 , G06T7/149 , G06T7/174 , G06T2207/10081 , G06T2207/10132 , G06T2207/30101 , Y10S128/922
摘要： A method for segmenting intravascular images includes acquiring a series of digitized images acquired from inside a vessel, each said image comprising a plurality of intensities corresponding to a 2-dimensional grid of pixels, providing a precomputed set of shapes for modeling contours of vessel wall boundaries, wherein a contour can be expressed as a sum of a mean shape and a inner product of shape modes and shape weights, initializing a boundary contour for one of said set of images, initializing said shape weights by projecting a contour into said shape modes, updating said shape weights from differential equations of said shape weights, and computing a contour by summing said mean shape and said inner product of shape modes and updated shape weights.
摘要翻译：用于分割血管内图像的方法包括获取从血管内获取的一系列数字化图像，每个所述图像包括对应于像素的二维网格的多个强度，提供用于建模血管壁边界的轮廓的预先计算的一组形状其中轮廓可以表示为平均形状和形状模式和形状权重的内积的和，初始化所述图像集合中的一个图像的边界轮廓，通过将轮廓投影到所述形状模式中来初始化所述形状权重，从所述形状权重的微分方程更新所述形状权重，以及通过将所述平均形状和形状模式的内积与更新的形状权重相加来计算轮廓。

6. 发明申请

US20080260221A1 System and Method for Lesion Segmentation in Whole Body Magnetic Resonance Images 有权
标题翻译：全身磁共振图像中病变分割的系统和方法
公开(公告)号：US20080260221A1
公开(公告)日：2008-10-23
申请号：US12045327
申请日：2008-03-10
申请人： Gozde Unal , Gregory G. Slabaugh , Tong Fang , Shawn Linkton , Valer Canda , Stefan Thesen , Shuping Qing
发明人： Gozde Unal , Gregory G. Slabaugh , Tong Fang , Shawn Linkton , Valer Canda , Stefan Thesen , Shuping Qing
IPC分类号： G06K9/00
CPC分类号： G06K9/6207 , G06F19/00 , G06K9/342 , G06K2009/366 , G06K2209/053 , G06T7/12 , G06T7/149 , G06T7/194 , G06T2200/04 , G06T2207/10088 , G06T2207/20104 , G06T2207/30096
摘要： A method for lesion segmentation in 3-dimensional (3D) digital images, includes selecting a 2D region of interest (ROI) from a 3D image, the ROI containing a suspected lesion, extending borders of the ROI to 3D forming a volume of interest (VOI), where voxels on the borders of the VOI are initialized as background voxels and voxels in an interior of the VOI are initialized as foreground voxels, propagating a foreground and background voxel competition where for each voxel in the VOI, having each neighbor voxel in a neighborhood of the voxel attack the voxel, and, if the attack is successful, updating a label and strength of the voxel with that of the successful attacking voxel, and evolving a surface between the foreground and background voxels in 3D until an energy functional associated with the surface converges in value, where the surface segments the suspected lesion from the image.
摘要翻译：一种用于三维（3D）数字图像中的病变分割的方法，包括从3D图像中选择感兴趣的2D区域（ROI），ROI包含疑似病变，将ROI的边界延伸到形成感兴趣体积的3D（ VOI），其中VOI边界上的体元被初始化为背景体元素，并且VOI内部的体素被初始化为前景体素，传播前景和背景体素竞争，其中对于VOI中的每个体素，具有每个相邻体素体素的邻域攻击体素，并且如果攻击成功，更新体素的标签和强度与成功的攻击体素的标记和强度，并且以3D形式在前景和背景体素之间演变出一个表面，直到能量功能相关其表面收敛于值，其中表面将图像中的可疑病变分割。

7. 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。

8. 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。

9. 发明申请

US20070050073A1 Method and Apparatus for Surface Partitioning Using Geodesic Distance Measure 失效
标题翻译：使用测地距离测量进行表面分割的方法和装置
公开(公告)号：US20070050073A1
公开(公告)日：2007-03-01
申请号：US11466149
申请日：2006-08-22
申请人： Gozde Unal , Gregory Slabaugh , Tong Fang
发明人： Gozde Unal , Gregory Slabaugh , Tong Fang
IPC分类号： G06F19/00
CPC分类号： H04R25/658 , G06K9/469 , H04R25/652 , H04R2225/77
摘要： An improved method of designing hearing aid molds is disclosed whereby regions of an ear impression model are identified as a function of a geodesic distance measure. According to a first embodiment, a canal point of an ear impression model is identified as that point having a maximum normalized geodesic distance as compared to all other points on the surface of the ear impression model. According to a second embodiment, a helix point of the ear impression model is identified as that point having a maximum normalized geodesic distance as compared to all points except those points in the canal region of said ear impression model. Finally, in accordance with another embodiment, a geodesic distance between a canal point and a helix point of an ear impression model is identified and a percentage threshold, illustratively 65%, is applied to that geodesic distance to identify a crus region.
摘要翻译：公开了一种改进的助听器模具的设计方法，其中耳朵印模模型的区域被识别为测地距离测量的函数。根据第一实施例，与耳朵印象模型的表面上的所有其他点相比，耳朵印模模型的运河点被识别为具有最大归一化测地距离的点。根据第二实施例，与除了所述耳朵印象模型的运河区域中的那些点之外的所有点相比，耳朵印模模型的螺旋点被识别为具有最大归一化测地距离的点。最后，根据另一个实施例，识别耳朵印模模型的运河点和螺旋点之间的测地距离，并且示例性地将65％的百分比阈值应用于该测地距离以识别小腿区域。

10. 发明申请

US20050134934A1 Systems and methods for estimating an image marking process using event mapping of scanned image attributes 有权
标题翻译：使用扫描图像属性的事件映射来估计图像标记处理的系统和方法
公开(公告)号：US20050134934A1
公开(公告)日：2005-06-23
申请号：US10739176
申请日：2003-12-19
申请人： Gozde Unal , Gaurav Sharma , Reiner Eschbach
发明人： Gozde Unal , Gaurav Sharma , Reiner Eschbach
IPC分类号： H04N1/00
CPC分类号： H04N1/00002 , H04N1/00018 , H04N1/00034 , H04N1/00055 , H04N1/00087
摘要： Methods and systems used to automatically identify the marking process used for an image on a substrate based on spatial characteristics and/or color of the image. Image types which are classified and identified include continuous tone images and halftone images. Among halftone images separately identified are inkjet images, xerographic images and lithographic images. Locally adaptive image threshold techniques may be used to determine the spatial characteristics of the image.
摘要翻译：用于基于图像的空间特征和/或颜色来自动识别用于基底上的图像的标记过程的方法和系统。分类和识别的图像类型包括连续色调图像和半色调图像。在分开标识的半色调图像中，是喷墨图像，静电复印图像和平版印刷图像。本地适应性图像阈值技术可用于确定图像的空间特征。

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