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1. 发明授权

US08050470B2 Branch extension method for airway segmentation 有权
标题翻译：分支延伸方法用于气道分割
公开(公告)号：US08050470B2
公开(公告)日：2011-11-01
申请号：US11565720
申请日：2006-12-01
申请人： Bjoern E Coenen , Atilla Peter Kiraly , Carol L. Novak , Benjamin Odry
发明人： Bjoern E Coenen , Atilla Peter Kiraly , Carol L. 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。

2. 发明授权

US07835555B2 System and method for airway detection 有权
标题翻译：气道检测系统及方法
公开(公告)号：US07835555B2
公开(公告)日：2010-11-16
申请号：US11563265
申请日：2006-11-27
申请人： Atilla Peter Kiraly , Benjamin Odry , Bjoern E Coenen , Carol L. Novak
发明人： Atilla Peter Kiraly , Benjamin Odry , Bjoern E Coenen , Carol L. Novak
IPC分类号： G06K9/00
CPC分类号： G06T7/0012 , G06T7/12 , G06T2207/10081 , G06T2207/30061
摘要： A method and system for detecting airways in 3D lung image data is disclosed. The 3D lung image data is filtered using one or more filters based on first and second order derivatives of the CT image data. Each filter calculates a value for each voxel of the 3D lung image data, and the values from all of the filters are combined to determine a voxel score for each voxel. If the voxel score for a voxel is greater than or equal to a threshold value, the voxel is considered an airway candidate.
摘要翻译：公开了一种用于检测3D肺图像数据中的气道的方法和系统。基于CT图像数据的一阶导数和二阶导数，使用一个或多个滤波器对3D肺图像数据进行滤波。每个滤波器计算3D肺图像数据的每个体素的值，并且将来自所有滤波器的值组合以确定每个体素的体素分数。如果体素的体素分数大于或等于阈值，则体素被认为是气道候选者。

3. 发明授权

US08422748B2 System and method for grouping airways and arteries for quantitative analysis 失效
标题翻译：用于分组气道和动脉进行定量分析的系统和方法
公开(公告)号：US08422748B2
公开(公告)日：2013-04-16
申请号：US11470294
申请日：2006-09-06
申请人： Benjamin Odry , Atilla Peter Kiraly , Carol L. Novak
发明人： Benjamin Odry , Atilla Peter Kiraly , Carol L. Novak
IPC分类号： G06K9/00 , A61B5/08
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; 计算每个所述高强度区域的第三指示符，其中所述第三指示符是所述高强度区域相对于所述气道的接近度量; 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。

4. 发明授权

US08019140B2 System and method for determining a size of an airway lumen and a thickness of an airway wall 有权
标题翻译：用于确定气道腔的尺寸和气道壁的厚度的系统和方法
公开(公告)号：US08019140B2
公开(公告)日：2011-09-13
申请号：US11465516
申请日：2006-08-18
申请人： Benjamin Odry , Atilla Peter Kiraly , Carol L. Novak
发明人： Benjamin Odry , Atilla Peter Kiraly , Carol L. Novak
IPC分类号： G06K9/00 , A61B5/103 , A61B5/117
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。

5. 发明授权

US08233964B2 System and method for color-coding segmented chest image airways for assessment 有权
标题翻译：分段胸部图像气道彩色编码系统和方法进行评估
公开(公告)号：US08233964B2
公开(公告)日：2012-07-31
申请号：US11470287
申请日：2006-09-06
申请人： Atilla Peter Kiraly , Benjamin Odry , Carol L. Novak
发明人： Atilla Peter Kiraly , Benjamin Odry , Carol L. Novak
IPC分类号： A61B5/05
CPC分类号： G06T7/11 , G06T2207/10081 , G06T2207/20164 , G06T2207/30061
摘要： A method for visualizing airways in chest images, includes: computing a distance map of a segmented bronchial tree; extracting data from the segmented bronchial tree using the distance map; and visualizing a three-dimensional (3D) image of the segmented bronchial tree color-coded according to the extracted data.
摘要翻译：一种可视化胸部图像气道的方法，包括：计算分段支气管树的距离图; 使用距离图从分段支气管树提取数据; 以及根据提取的数据可视化经分段的支气管树的三维（3D）图像。

6. 发明授权

US07929741B2 System and method for automated detection of mucus plugs within bronchial tree in MSCT images 有权
标题翻译：用于自动检测MSCT图像中支气管树内粘液塞的系统和方法
公开(公告)号：US07929741B2
公开(公告)日：2011-04-19
申请号：US11836966
申请日：2007-08-10
申请人： Diran Guiliguian , Benjamin Odry , Atilla Peter Kiraly
发明人： Diran Guiliguian , Benjamin Odry , Atilla Peter Kiraly
IPC分类号： G06K9/00
CPC分类号： A61B5/08 , A61B6/50 , G06T7/0012 , G06T2207/10081 , G06T2207/30061
摘要： A method for detecting and localizing mucus plugs in digitized lung images, includes providing a digitized lung image volume comprising a plurality of intensities corresponding to a 3-dimensional grid of points, extracting a bronchial tree from said lung image, said bronchial tree comprising a plurality of branching airways terminating at terminal points, providing a model of a 2-dimensional cross section of an airway, selecting an extended point beyond a terminal point of an airway branch in a direction of said airway branch, obtaining a 2-dimensional cross section I of size m×n points from said lung image about said selected point, processing said 2D cross section I by calculating a local neighborhood function for each point in the cross section and forming a union of all local neighborhood functions, and calculating a correlation between processed 2D cross section and said airway model, wherein said correlation is indicative of the presence of a mucus plug within said airway.
摘要翻译：一种用于检测和定位数字化肺图像中的粘液塞的方法，包括提供数字化肺图像体积，其包括对应于三维网格点的多个强度，从所述肺图像提取支气管树，所述支气管树包括多个在终点处终止的分支气道，提供气道的二维截面的模型，在所述气道支路的方向上选择超出气道支路的终点的延伸点，获得二维截面I 从所述肺图像的尺寸m×n的点到所述选择点，通过计算横截面中的每个点的局部邻域函数并且形成所有局部邻域函数的并集，并且计算处理的所述二维横截面I之间的相关性 2D横截面和所述气道模型，其中所述相关性指示所述气道内存在粘液塞。

7. 发明授权

US07715605B2 Systems and methods for computer aided detection of spinal curvature using images and angle measurements 有权
标题翻译：使用图像和角度测量的计算机辅助检测脊柱弯曲的系统和方法
公开(公告)号：US07715605B2
公开(公告)日：2010-05-11
申请号：US11507383
申请日：2006-08-21
申请人： Jeanne Verre , Benjamin Odry , James G. Reisman , Carol L. Novak
发明人： Jeanne Verre , Benjamin Odry , James G. Reisman , Carol L. Novak
IPC分类号： A61B5/103 , G06K9/00
CPC分类号： G06T7/0012 , G06T7/64 , G06T2207/10072 , G06T2207/10116 , G06T2207/30012
摘要： A method for providing automatic detection of curvature of a spine and computation of specific angles in images of the spine includes automatically displaying the curvature of the spine as a line in an image of the spine, and computing at least one of a first angle or a second angle based on the line of the curvature of the spine.
摘要翻译：用于提供脊柱曲率的自动检测和脊柱图像中的特定角度的计算的方法包括：将脊柱的曲率自动显示为脊柱图像中的线，并且计算第一角度或基于脊柱曲率线的第二个角度。

8. 发明授权

US07949162B2 System and method for solid component evaluation in mixed ground glass nodules 有权
标题翻译：混合玻璃结核固体成分评价系统及方法
公开(公告)号：US07949162B2
公开(公告)日：2011-05-24
申请号：US11836991
申请日：2007-08-10
申请人： Benjamin Odry , Li Zhang
发明人： Benjamin Odry , Li Zhang
IPC分类号： G06K9/00
CPC分类号： G06T7/0012 , G06T7/136 , G06T2200/04 , G06T2207/10081 , G06T2207/30064 , G06T2207/30101
摘要： A method for segmenting a solid component (SC) in a ground glass nodule (GGN) includes providing a digitized image that includes a segmented GGN, the image comprising a plurality of intensities corresponding to a 3-dimensional grid of points, computing an intensity threshold that distinguishes a high intensity solid component of the GGN from a low intensity non-solid component, and applying the intensity threshold to identify a SC of the GGN and to identify regions of interest around the GGN, detecting whether or not a region of interest is a vessel, calculating a model for a detected vessel based on a radius and orientation of the vessel, and removing from the GGN segmentation all points that belong to both the model and the SC inside the GGN, and verifying whether a structure resulting from excluding the points qualifies as an SC.
摘要翻译：用于分割磨玻璃结节（GGN）中的固体组分（SC）的方法包括提供包括分段GGN的数字化图像，所述图像包括对应于3维网格点的多个强度，计算强度阈值将GGN的高强度固体分量与低强度非固体分量区分开，并且应用强度阈值来识别GGN的SC并识别GGN周围的感兴趣区域，检测感兴趣区域是否为根据容器的半径和取向计算检测到的容器的模型，并且从GGN中移除GGN中分离属于GGN内的模型和SC两者的所有点，并且验证是否排除了积分符合SC标准。

9. 发明授权

US07561728B2 Detection of intervertebral disk orientation in spine images using curve evolution 失效
标题翻译：使用曲线演化检测脊柱图像中的椎间盘方向
公开(公告)号：US07561728B2
公开(公告)日：2009-07-14
申请号：US11359831
申请日：2006-02-22
申请人： Amer Abufadel , Gregory G. Slabaugh , Benjamin Odry , Li Zhang , Gozde Unal
发明人： Amer Abufadel , Gregory G. Slabaugh , Benjamin Odry , Li Zhang , Gozde Unal
IPC分类号： G06K9/00
CPC分类号： G06T7/149 , G06T7/12 , G06T2207/10088 , G06T2207/20104 , G06T2207/20156 , G06T2207/30012
摘要： A computer-implemented method for vertebrae segmentation includes providing an image of a plurality of vertebrae, and determining a seed in each of at least two adjacent vertebrae in the image. The method further includes mapping a unit square to the seeds in the image as corresponding shape constraints on a segmentation, evolving the shape constraints to determine the segmentation of the adjacent vertebrae, wherein evolutions of the shape constraints interact, and outputting a segmented image indicating a location of the vertebra.
摘要翻译：用于椎骨分割的计算机实现的方法包括提供多个椎骨的图像，以及确定图像中的至少两个相邻椎骨中的每一个中的种子。该方法还包括将图像中的单位平方映射为对分割的对应形状约束，演化形状约束以确定相邻椎骨的分割，其中形状约束的演化相互作用，并输出指示椎骨的位置。

10. 发明授权

US07379576B2 Method and system for patient identification in 3D digital medical images 失效
标题翻译： 3D数字医学图像中患者识别的方法和系统
公开(公告)号：US07379576B2
公开(公告)日：2008-05-27
申请号：US10974313
申请日：2004-10-27
申请人： Hong Shen , Benjamin Odry , Shuping Qing
发明人： Hong Shen , Benjamin Odry , Shuping Qing
IPC分类号： G06K9/00
CPC分类号： G06T7/0012 , A61B6/5294 , G06T2207/30061 , Y10S378/901
摘要： A method of identifying a patient from digital medical images includes providing a first digital image volume of an organ of a patient and a second digital image volume of the same organ, segmenting each slice of the first image volume and calculating a cross-sectional area of the organ in each slice to form a first area profile, segmenting each slice of the second image volume and calculating a cross-sectional area of the organ in each slice to form a second area profile, and comparing the first area profile with the second area profile to determine a correlation value for the two profiles. Based on the correlation value between the first area profile and the second area profile, it is determined whether the first digital image volume of the organ and the second digital image volume of the same organ came from the same patient.
摘要翻译：从数字医学图像识别患者的方法包括提供患者的器官的第一数字图像体积和同一器官的第二数字图像体积，分割第一图像体积的每个切片，并计算第一图像体积的横截面积每个切片中的器官以形成第一区域轮廓，分割第二图像体积的每个切片并计算每个切片中的器官的横截面面积以形成第二区域轮廓，并且将第一区域轮廓与第二区域配置文件以确定两个配置文件的相关值。基于第一区域轮廓和第二区域轮廓之间的相关值，确定器官的第一数字图像体积和同一器官的第二数字图像体积是否来自同一患者。

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