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：US20070167714A1

公开(公告)日：2007-07-19

申请号：US11566746

申请日：2006-12-05

申请人： Atilla Kiraly ,  Carol Novak

发明人： Atilla Kiraly ,  Carol Novak

IPC分类号： A61B5/05

CPC分类号： A61B1/2676 ,  A61B1/0005 ,  A61B6/12 ,  A61B6/5235 ,  G06T7/0012 ,  G06T7/30 ,  G06T7/75 ,  G06T2207/30021 ,  G06T2207/30061

摘要： A computer-based method for bronchoscopic navigational assistance, including: receiving first image data of a patient's lungs, the first image data acquired before a bronchoscopy is performed; receiving second image data of a portion of one of the patient's lungs that includes a bronchoscope, the second image data acquired during the bronchoscopy; and performing image registration between the first image data and the second image data to determine a global location and orientation of the bronchoscope within the patient's lung during the bronchoscopy.

摘要翻译： 一种用于支气管镜导航辅助的基于计算机的方法，包括：接收患者肺的第一图像数据，执行支气管镜检查之前获取的第一图像数据; 接收包括支气管镜的患者肺部的一部分的第二图像数据，在支气管镜检查期间获取的第二图像数据; 以及在第一图像数据和第二图像数据之间执行图像配准，以在支气管镜检查期间确定支气管镜在患者肺内的全局位置和取向。

公开(公告)号：US20070127800A1

公开(公告)日：2007-06-07

申请号：US11565720

申请日：2006-12-01

申请人： Bjoern Coenen ,  Atilla Kiraly ,  Carol Novak ,  Benjamin Odry

发明人： Bjoern Coenen ,  Atilla Kiraly ,  Carol Novak ,  Benjamin Odry

IPC分类号： G06K9/00

CPC分类号： G06T7/11 ,  G06T2207/10072 ,  G06T2207/20101 ,  G06T2207/30061

摘要： A branch extension method and system for segmenting airways in 3D image data is disclosed. An initial airway segmentation is obtained from the 3D image data. Terminal branches of segmented airways of the initial airway segmentation are identified. The segmentation of the terminal branches is then extended. The segmentation of the terminal branches can be extended using various segmentation techniques. This method can use complex segmentation techniques to extend the terminal branches without having a large impact to the overall speed of the segmentation.

摘要翻译： 公开了一种用于分割3D图像数据中的气道的分支扩展方法和系统。 从3D图像数据获得初始气道分割。 确定初始气道分割的分段气道末端分支。 然后扩展终端分支的分段。 可以使用各种分割技术来扩展终端分支的分割。 该方法可以使用复杂的分割技术来扩展终端分支，而不会对分割的整体速度产生很大的影响。

公开(公告)号：US20070064988A1

公开(公告)日：2007-03-22

申请号：US11470294

申请日：2006-09-06

申请人： Benjamin Odry ,  Atilla Kiraly ,  Carol Novak

发明人： Benjamin Odry ,  Atilla Kiraly ,  Carol Novak

IPC分类号： G06K9/00

CPC分类号： G06T7/0012 ,  G06T7/11 ,  G06T2207/30101

摘要： A method for grouping airway and artery pairs, includes: computing a two-dimensional (2D) cross-section of an airway; identifying regions of high-intensity in the 2D cross-section; computing a first indicator for each of the high intensity regions, wherein the first indicator is an orientation measure of the high intensity region with respect to the airway; computing a second indicator for each of the high intensity regions, wherein the second indicator is a circularity measure of the high intensity region; computing a third indicator for each of the high intensity regions, wherein the third indicator is a proximity measure of the high intensity region with respect to the airway; summing the first through third indicators for each of the high intensity regions to obtain a score for each of the high intensity regions; and determining which of the high intensity regions is an artery corresponding to the airway based on its score.

摘要翻译： 一种用于分组气道和动脉对的方法，包括：计算气道的二维（2D）横截面; 识别2D横截面中高强度的区域; 计算每个所述高强度区域的第一指示符，其中所述第一指示符是所述高强度区域相对于所述气道的取向测量; 计算每个高强度区域的第二指示符，其中第二指示符是高强度区域的圆度度量; 计算每个高强度区域的第三指示符，其中第三指示符是相对于气道的高强度区域的接近度量; 对每个高强度区域的第一至第三指标求和，以获得每个高强度区域的得分; 并且基于其得分确定哪个高强度区域是对应于气道的动脉。

公开(公告)号：US20070049840A1

公开(公告)日：2007-03-01

申请号：US11465516

申请日：2006-08-18

申请人： Benjamin Odry ,  Atilla Kiraly ,  Carol Novak

发明人： Benjamin Odry ,  Atilla Kiraly ,  Carol Novak

IPC分类号： A61B5/08

CPC分类号： A61B5/08 ,  A61B6/032 ,  G06F19/00 ,  G06F19/321 ,  G06T7/12 ,  G06T7/13 ,  G06T7/155 ,  G06T7/62 ,  G06T2207/20044 ,  G06T2207/30061 ,  G06T2207/30172

摘要： A method for determining a size of an airway lumen and a thickness of an airway wall includes: computing a centerline of an airway; computing a three-dimensional (3D) gradient of a volume of the airway within a first threshold; positioning a tube along the centerline; iteratively expanding the tube by increasing its radius until the radius of the tube reaches the first threshold; determining inner and outer radii of the tube by checking the 3D gradient computed along an x-axis and a y-axis of the tube at a boundary of the tube at each iteration; and fitting the tube to the airway by using the determined inner and outer radii, wherein the inner radius of the fit tube is half a diameter of the airway lumen and the outer radius of the fit tube minus the inner radius of the fit tube is a thickness of the airway wall.

摘要翻译： 用于确定气道腔的尺寸和气道壁的厚度的方法包括：计算气道的中心线; 计算在第一阈值内的气道体积的三维（3D）梯度; 沿着中心线定位管; 通过增加其半径直到管的半径达到第一阈值来迭代地膨胀管; 通过检查在每次迭代的管的边界处沿着管的x轴和y轴计算的3D梯度来确定管的内部和外部半径; 并且通过使用所确定的内半径和外半径将管装配到气道，其中配合管的内半径为气道腔的直径的一半，并且配合管的外半径减去配合管的内半径为 气道壁厚度。

公开(公告)号：US20070001879A1

公开(公告)日：2007-01-04

申请号：US11424948

申请日：2006-06-19

申请人： Jens Kaftan ,  Atilla Kiraly ,  Carol Novak

发明人： Jens Kaftan ,  Atilla Kiraly ,  Carol Novak

IPC分类号： H03M7/00

CPC分类号： G06T7/0012 ,  G06K9/6206 ,  G06T7/344 ,  G06T2207/10072 ,  G06T2207/20044 ,  G06T2207/20072 ,  G06T2207/20128 ,  G06T2207/30061 ,  G06T2207/30101

摘要： A system and method for tree matching are provided. The method for tree matching includes; acquiring tree-like structures representing a physical object or model; extracting a path from a first tree-like structure and a path from a second tree-like structure; comparing the paths of the first and second tree-like structures by computing a similarity measurement for the paths; and determining if the paths match based on the similarity measurement.

摘要翻译： 提供了一种用于树匹配的系统和方法。 树匹配的方法包括： 获取表示物理对象或模型的树状结构; 从第一树状结构和从第二树状结构的路径提取路径; 通过计算路径的相似度测量来比较第一和第二树状结构的路径; 以及基于所述相似度测量来确定所述路径是否匹配。

公开(公告)号：US20060159328A1

公开(公告)日：2006-07-20

申请号：US11299571

申请日：2005-12-12

申请人： Michael Vaz ,  Atilla Kiraly

发明人： Michael Vaz ,  Atilla Kiraly

IPC分类号： G06K9/00 ,  G06K9/34 ,  G06K9/56

CPC分类号： G06K9/44 ,  G06K2209/05 ,  G06T7/11 ,  G06T7/155 ,  G06T2207/10081 ,  G06T2207/30061 ,  G06T2207/30101

摘要： Disclosed is a method and system for detecting a structure (e.g., an airway) within an image. The method and system generate a segmented image from the original (reconstructed) image. The method and system then iteratively apply three dimensional morphological operators of varying sizes to the image to obtain a resulting image. The method and system obtain a candidate mask, apply the candidate mask to the resulting image to generate a masked resulting image, and update the segmented image using the masked resulting image to detect the structure. In one embodiment, the segmented image is generated from region growing. Also disclosed is a method to determine different regions of interest within a given segmented image based on computed projections and boundary lines of the segmented image.

摘要翻译： 公开了一种用于检测图像内的结构（例如气道）的方法和系统。 该方法和系统从原始（重建）图像生成分割图像。 然后，该方法和系统迭代地将不同大小的三维形态学运算符应用于图像以获得所得到的图像。 方法和系统获得候选掩模，将候选掩模应用于生成的图像以产生掩蔽的结果图像，并且使用被屏蔽的结果图像来更新分割的图像以检测结构。 在一个实施例中，分割图像是从区域增长生成的。 还公开了一种基于计算的分割图像的投影和边界线来确定给定分割图像内的不同感兴趣区域的方法。

公开(公告)号：US20060025674A1

公开(公告)日：2006-02-02

申请号：US11192719

申请日：2005-07-29

申请人： Atilla Kiraly ,  Carol Novak

发明人： Atilla Kiraly ,  Carol Novak

IPC分类号： A61B5/05

CPC分类号： G06T19/00 ,  G06T3/0037 ,  G06T7/0012 ,  G06T7/11 ,  G06T7/12 ,  G06T15/08 ,  G06T2207/10072 ,  G06T2207/10136 ,  G06T2207/30061 ,  G06T2207/30101 ,  G06T2219/008

摘要： A system and method for detecting an area of interest such as a pulmonary embolism in a structure of interest such as a vessel tree or airway tree are provided. The method comprises: segmenting image data of the structure of interest; and rendering two-dimensional images based on a function of the image data and the segmented image data within slabs defined by the segmented image data.

摘要翻译： 提供了用于检测诸如血管树或气道树等感兴趣结构中的肺栓塞等感兴趣区域的系统和方法。 该方法包括：分割感兴趣结构的图像数据; 以及基于由分割图像数据定义的板内的图像数据和分割图像数据的函数来渲染二维图像。

公开(公告)号：US20060023925A1

公开(公告)日：2006-02-02

申请号：US11194252

申请日：2005-08-01

申请人： Atilla Kiraly ,  Carol Novak

发明人： Atilla Kiraly ,  Carol Novak

IPC分类号： G06K9/00

CPC分类号： G06T7/60 ,  G06T7/11 ,  G06T7/12 ,  G06T7/155 ,  G06T19/00 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/20044 ,  G06T2207/30061 ,  G06T2207/30101 ,  G06T2219/021

摘要： A system and method for tree-model visualization for detecting an abnormality in an anatomical tree structure are provided. The method comprises: fitting a tree-model to an anatomical tree structure; converting branches of the tree-model into first two-dimensional branch images; and arranging the first two-dimensional branch images in a hierarchical order to form a second two-dimensional image.

公开(公告)号：US20050152591A1

公开(公告)日：2005-07-14

申请号：US11031729

申请日：2005-01-06

申请人： Atilla Kiraly ,  Carol Novak

发明人： Atilla Kiraly ,  Carol Novak

IPC分类号： G06T5/00 ,  G06T5/20 ,  G06T7/00 ,  G06K9/00

CPC分类号： G06T7/0012 ,  G06T5/20 ,  G06T7/44 ,  G06T2207/10072 ,  G06T2207/30028 ,  G06T2207/30061

摘要： A three dimensional medical image filter computes a value at a given location of the image based upon the properties of a given 3D region. The filter is defined by equations that are functions of the gradient and image values of neighboring locations. The equations determine the final value at the given location. The specific definitions of these equations determine the filter properties and may be adjusted for different applications.

摘要翻译： 三维医学图像滤波器基于给定的3D区域的特性来计算图像的给定位置处的值。 滤波器由等式定义，这些方程是相邻位置的梯度和图像值的函数。 方程确定给定位置的最终值。 这些方程式的具体定义确定了滤波器特性，并可针对不同的应用进行调整。