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。

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。

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。

公开(公告)号：US20070265813A1

公开(公告)日：2007-11-15

申请号：US11538921

申请日：2006-10-05

申请人： Gozde Unal ,  Gregory Slabaugh ,  Tong Fang

发明人： Gozde Unal ,  Gregory Slabaugh ,  Tong Fang

IPC分类号： G06F17/10

CPC分类号： G06T7/0012 ,  G06T7/12 ,  G06T7/149 ,  G06T2207/10088 ,  G06T2207/20101 ,  G06T2207/20116 ,  G06T2207/30004

摘要： Certain exemplary embodiments can comprise a method, which can comprise, automatically determining a target object from an image via an application of an iterative minimization algorithm to an energy function. Each iteration of the iterative minimization algorithm can comprise a comparison of a model with an estimated contour of the target object.

摘要翻译： 某些示例性实施例可以包括一种方法，其可以包括通过将迭代最小化算法应用于能量函数从图像自动地确定目标对象。 迭代最小化算法的每次迭代可以包括模型与目标对象的估计轮廓的比较。

公开(公告)号：US20070201713A1

公开(公告)日：2007-08-30

申请号：US11462869

申请日：2006-08-07

申请人： Tong Fang ,  Alexander Zouhar ,  Gozde Unal ,  Gregory Slabaugh ,  Jason Tyan ,  Fred McBagonluri

发明人： Tong Fang ,  Alexander Zouhar ,  Gozde Unal ,  Gregory Slabaugh ,  Jason Tyan ,  Fred McBagonluri

IPC分类号： H04R25/00

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。 然后根据差值和这些权重对每个轮廓线计算轮廓索引。 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。

公开(公告)号：US20070189580A1

公开(公告)日：2007-08-16

申请号：US11566363

申请日：2006-12-04

申请人： Gregory Slabaugh ,  Koon Kong ,  Gozde Unal ,  Tong Fang

发明人： Gregory Slabaugh ,  Koon Kong ,  Gozde Unal ,  Tong Fang

IPC分类号： G06K9/00

CPC分类号： G06K9/6207 ,  G06T7/0012 ,  G06T7/149 ,  G06T7/246 ,  G06T2207/10121 ,  G06T2207/30021

摘要： A method of tracking a guidewire in video imagery includes: obtaining a first video image including pixels associated with features of a guidewire; selecting a set of parameters to define an open curve on the first video image; determining a feature map of the first video image using phase congruency; and updating the parameters of the open curve using the feature map to align the open curve to the pixels associated with the features of the guidewire.

摘要翻译： 在视频图像中跟踪导丝的方法包括：获得包括与导丝的特征相关联的像素的第一视频图像; 选择一组参数以在第一视频图像上定义开放曲线; 使用相位一致性确定第一视频图像的特征图; 并使用特征图更新开放曲线的参数，以将开放曲线对准与导丝的特征相关联的像素。

公开(公告)号：US20070127754A1

公开(公告)日：2007-06-07

申请号：US11465628

申请日：2006-08-18

申请人： Gregory Slabaugh ,  Gozde Unal ,  Tong Fang

发明人： Gregory Slabaugh ,  Gozde Unal ,  Tong Fang

IPC分类号： H04R25/00

CPC分类号： G06K9/6206 ,  H04R25/652 ,  H04R25/658 ,  H04R2225/77

摘要： A method and apparatus is disclosed whereby a point on an ear impression model to be labeled is selected and a shape context is determined for that point. This shape context is then compared to average shape contexts for different regions on a reference ear impression model, also referred to herein as an ear impression shape atlas. A cost function is used to determine the minimum cost between the shape context for the selected point and one of the average shape contexts. Once the minimized cost is determined, the region label corresponding to the average shape context having a minimized cost is assigned to that point. In this way, points on the surface of an ear impression are classified and labeled as being located in regions corresponding to the regions on the ear impression shape atlas.

摘要翻译： 公开了一种方法和装置，由此选择要标记的耳朵印象模型上的点，并且为该点确定形状上下文。 然后将该形状上下文与参考耳印象模型上的不同区域的平均形状上下文进行比较，这里也称为耳朵印象形状图集。 成本函数用于确定所选点的形状上下文与平均形状上下文之间的最小成本。 一旦确定了最小化成本，则将具有最小化成本的平均形状上下文对应的区域标签分配给该点。 以这种方式，将耳朵表面的点分类并标记为位于与耳朵印象形状图集上的区域对应的区域中。

公开(公告)号：US20080109192A1

公开(公告)日：2008-05-08

申请号：US11933516

申请日：2007-11-01

申请人： Gregory Slabaugh ,  Gozde Unal ,  Tong Fang

发明人： Gregory Slabaugh ,  Gozde Unal ,  Tong Fang

IPC分类号： G06F17/10

CPC分类号： G06T17/10

摘要： A method for modeling a 2-dimensional tubular structure in a digitized image includes providing a digitized image of a tubular structure containing a plurality of 2D balls of differing radii, initializing a plurality of connected spline segments that form an envelope surrounding the plurality of 2D balls, each the spline segment Si being parameterized by positions of the ith and i+1th balls and contact angles αi, αi+1 from the center of each respective ball to a point on the perimeter of each the ball contacting the spline segment Si, each the αi affecting spline segment Si and Si−1, and updating the angles by minimizing an energy that is a functional of the angles, where the updating is repeated until the energy is minimized subject to a constraint that the envelope is tangent to each ball at each point of contact, where the envelope is represented by the contact angles.

摘要翻译： 一种用于对数字化图像中的二维管状结构进行建模的方法包括提供包含不同半径的多个2D球的管状结构的数字化图像，初始化形成围绕多个2D球的包围的多个连接的花键片段 ，每个样条段S i i i被第i个和第i + 1个第球的位置参数化，并且接触角α1 从每个相应球的中心到接触花键片段S i的每个球的周边上的点的每个α，α，α， 影响样条线段S i和S i-1，并且通过使作为角度的函数的能量最小化来更新角度，其中 重复更新直到能量被最小化，受限于在每个接触点处包络与每个球相切，其中包络由接触角表示。

公开(公告)号：US20080075375A1

公开(公告)日：2008-03-27

申请号：US11779413

申请日：2007-07-18

申请人： Gozde Unal ,  Susann Bucher ,  Gregory Slabaugh ,  Tong Fang

发明人： Gozde Unal ,  Susann Bucher ,  Gregory Slabaugh ,  Tong Fang

IPC分类号： G06K9/36

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：US20070160277A1

公开(公告)日：2007-07-12

申请号：US11620078

申请日：2007-01-05

申请人： Gregory Slabaugh ,  Gozde Unal ,  Tong Fang ,  Huy-Nam Doan

发明人： Gregory Slabaugh ,  Gozde Unal ,  Tong Fang ,  Huy-Nam Doan

IPC分类号： G06K9/00

CPC分类号： G06K9/342 ,  G06K9/6224 ,  G06K2209/05

摘要： A system and method for segmentation of anatomical structures in MRI volumes using graph cuts is disclosed. In this method, a template is registered to an MRI brain volume. The template identifies seed points of anatomical brain structures, such as the cerebrum, the cerebellum, and the brain stem, in the MRI brain volume. Any or all of the anatomical brain structures can be segmented using graph cuts segmentation initialized based on the seed points identified by the template. It is possible to segment each of the anatomical brain structures by performing a hierarchical three-phase segmentation process including brain/non-brain segmentation, cerebrum/cerebellum and brain stem segmentation, and cerebellum/brain stem segmentation.

摘要翻译： 公开了一种用于使用图形切割来分割MRI体积中的解剖结构的系统和方法。 在该方法中，将模板登记到MRI脑体积。 该模板在MRI脑容量中识别解剖脑结构的种子点，如大脑，小脑和脑干。 可以使用基于由模板识别的种子点初始化的图切割分段来分割任何或所有解剖脑结构。 通过执行包括脑/非脑分割，大脑/小脑和脑干分割以及小脑/脑干分割的分层三阶段分割过程，可以分割每个解剖脑结构。