公开(公告)号：US07720268B2

公开(公告)日：2010-05-18

申请号：US11427960

申请日：2006-06-30

申请人： Gregory G. Slabaugh ,  Gozde Unal ,  Tong Fang ,  Michael Wels

发明人： Gregory G. Slabaugh ,  Gozde Unal ,  Tong Fang ,  Michael Wels

IPC分类号： G06K9/00

CPC分类号： G06T5/002 ,  G06T5/003 ,  G06T5/10 ,  G06T5/20 ,  G06T7/12 ,  G06T7/143 ,  G06T7/149 ,  G06T2207/10132 ,  G06T2207/20032 ,  G06T2207/20056 ,  G06T2207/20064 ,  G06T2207/30096

摘要： A method for segmenting a digitized ultrasound image includes providing a digitized in-phase/quadrature ultrasound image comprising a plurality of intensities defined on an N-dimensional grid, decorrelating the ultrasound image wherein spatial correlations are substantially reduced in the intensity data, modeling the decorrelated image intensities with a statistical distribution, propagating, an active contour in the image where the contour segments the image, where the contour is propagated based on the statistical distributions of intensity data inside and outside the active contour.

摘要翻译： 用于分割数字化超声图像的方法包括提供数字化的同相/正交超声图像，其包括在N维网格上定义的多个强度，去相关超声图像，其中空间相关性在强度数据中显着降低，对去相关的 具有统计分布的图像强度，传播图像中的主动轮廓，其中轮廓分割图像，其中基于活动轮廓内部和外部的强度数据的统计分布传播轮廓。

公开(公告)号：US08155405B2

公开(公告)日：2012-04-10

申请号：US12045327

申请日：2008-03-10

申请人： Gozde Unal ,  Gregory G. Slabaugh ,  Tong Fang ,  Shawn Lankton ,  Valer Canda ,  Stefan Thesen ,  Shuping Qing

发明人： Gozde Unal ,  Gregory G. Slabaugh ,  Tong Fang ,  Shawn Lankton ,  Valer Canda ,  Stefan Thesen ,  Shuping Qing

IPC分类号： G06K9/00 ,  G06K9/34

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。

公开(公告)号：US07801708B2

公开(公告)日：2010-09-21

申请号：US11462834

申请日：2006-08-07

申请人： Gozde Unal ,  Gregory G. Slabaugh ,  Tong Fang ,  Jason Jenn-Kwei Tyan

发明人： Gozde Unal ,  Gregory G. Slabaugh ,  Tong Fang ,  Jason Jenn-Kwei Tyan

IPC分类号： G06F7/60 ,  G06K9/00 ,  G06T15/00

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。

公开(公告)号：US07801343B2

公开(公告)日：2010-09-21

申请号：US11555806

申请日：2006-11-02

申请人： Gozde Unal ,  Yan Yang ,  Gregory G. Slabaugh ,  Tong Fang

发明人： Gozde Unal ,  Yan Yang ,  Gregory G. Slabaugh ,  Tong Fang

IPC分类号： G06K9/00 ,  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。

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。

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。

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。

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。

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。

公开(公告)号：US08290247B2

公开(公告)日：2012-10-16

申请号：US12150817

申请日：2008-05-01

申请人： Gregory G. Slabaugh ,  Gozde Unal ,  Tong Fang ,  Brian Whited ,  Jaroslaw Rossignac

发明人： Gregory G. Slabaugh ,  Gozde Unal ,  Tong Fang ,  Brian Whited ,  Jaroslaw Rossignac

IPC分类号： G06K9/00

CPC分类号： G06K9/342 ,  G06T7/11 ,  G06T2200/04 ,  G06T2207/10072 ,  G06T2207/20101 ,  G06T2207/30101

摘要： A method and system for segmenting tubular structures in 3D images is disclosed. 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 spheres, each having a center location and a radius determined based on the center locations and radii of previous pearls and on local voxel intensities in the image. A continuous model of the tubular structure can be generated by interpolating the center locations and radii of the ordered series of pearls. The ordered series of pearls can be displayed and easily edited in response to user input, thus providing an efficient and flexible method for interactive segmentation of a potion of interest in a tubular structure.

摘要翻译： 公开了一种用于在3D图像中分割管状结构的方法和系统。 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，沿着管状结构产生有序的珍珠系列。 珍珠是球体，每个球体具有基于中心位置和先前珍珠的半径确定的中心位置和半径以及图像中的局部体素强度。 可以通过内插有序系列珍珠的中心位置和半径来生成管状结构的连续模型。 可以根据用户输入显示和容易地编辑有序的珍珠系列，从而为管状结构中感兴趣的药水进行交互式分割提供了一种有效和灵活的方法。