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公开(公告)号：US07634123B2
公开(公告)日：2009-12-15
申请号：US11370302
申请日：2006-03-08
IPC分类号： G06K9/00
CPC分类号： G06K9/38 , G06T7/12 , G06T7/149 , G06T2207/10081 , G06T2207/10088 , G06T2207/30048
摘要： A method and related system for automatically and efficiently isolating the heart in Computer Tomography (CT) or Magnetic Resonance Imaging cardiac scans is disclosed. The method involves segmenting a heart within a set of volumetric data. In accordance with one aspect of the present invention, the set of volumetric data is processed to determine the minimum value of an energy function having a first term, a second term and a third term. The heart is segmented based on the processing of the set of volumetric data.
摘要翻译： 公开了一种用于在计算机断层扫描（CT）或磁共振成像心脏扫描中自动和有效隔离心脏的方法和相关系统。 该方法涉及在一组体积数据内分割心脏。 根据本发明的一个方面，处理一组体积数据以确定具有第一项，第二项和第三项的能量函数的最小值。 基于体积数据集合的处理来分割心脏。
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公开(公告)号：US07602970B2
公开(公告)日：2009-10-13
申请号：US11374794
申请日：2006-03-14
CPC分类号： G06T7/143 , G06T7/12 , G06T2207/10072 , G06T2207/20101 , G06T2207/30101
摘要： A method of segmenting tubular structures in digital images comprises providing a digitized image, selecting a point within an object for segmenting in the image, defining an initial state of the selected point in the object, performing an initial segmentation of a 2D cross section of the object based on the initial state, predicting a new state of said object about a new point that is a translation of said selected point along the object tangent, correcting said new state prediction based on a measurement of said new point in said image, and segmenting a 2D cross section of said object based on said new state.
摘要翻译： 在数字图像中分割管状结构的方法包括提供数字化图像，选择对象内的点以在图像中分割，定义对象中所选点的初始状态，执行对象的2D截面的初始分割 基于初始状态来预测所述对象的新状态，关于作为所述选定点沿对象切线的平移的新点，基于所述图像中的所述新点的测量来校正所述新状态预测，以及分割 基于所述新状态的所述对象的2D横截面。
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3.发明申请AUTOMATIC ORGAN DETECTION USING MACHINE LEARNING AND CLASSIFICATION ALGORITHMS 有权使用机器学习和分类算法的自动机器检测公开(公告)号：US20080154565A1
公开(公告)日：2008-06-26
申请号：US11747961
申请日：2007-05-14
申请人： Charles Florin , James Williams
发明人： Charles Florin , James Williams
IPC分类号： G06G7/60
CPC分类号： G06K9/6256 , G06K2209/05 , G06T7/70 , G06T2207/10072 , G06T2207/30092
摘要： A method and apparatus of visually depicting an organ, having the steps of choosing a predefined set features for analysis, the predefined set of features having distinguishing weak learners for an algorithm, wherein the predefined set of features and the weak learners chosen distinguish features of the organ desired to be represented, developing a strong classifier for the algorithm for the organ desired to be represented based upon the weak learners for the organ, one of conducing a body scan to produce a body scan data set and obtaining a body scan data set of information for a patient, applying the strong classifier and the algorithm to the body scan data set to develop a result of a representation of the organ and outputting the result of the step of applying of the strong classifier and the algorithm to the body scan data set to represent the organ.
摘要翻译： 一种视觉描绘器官的方法和装置，具有选择用于分析的预定义集合特征的步骤，所述预定义特征集合具有针对算法的区别弱学习者，其中所选择的特定组和弱学习者选择区分特征的特征 期望被表示的器官，为基于用于器官的弱学习者所希望表示的器官的算法开发强分类器，其中一个是进行身体扫描以产生身体扫描数据集并且获得身体扫描数据集 用于患者的信息，将强分类器和算法应用于身体扫描数据集以产生器官表示的结果，并将强分类器和算法的步骤的结果输出到身体扫描数据集 代表器官。
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4.发明申请Method and apparatus for generating a 2D image having pixels corresponding to voxels of a 3D image 有权用于生成具有与3D图像的体素对应的像素的2D图像的方法和装置公开(公告)号：US20060251307A1
公开(公告)日：2006-11-09
申请号：US11398210
申请日：2006-04-04
IPC分类号： G06K9/00
CPC分类号： G06T11/008 , G06T15/08
摘要： Disclosed is a method and apparatus for generating a two dimensional (2D) image of a structure (e.g., an organ) that has at least one pixel corresponding to at least one voxel of a three dimensional (3D) image of the structure. First, the surface of the structure in the 3D image is modeled by a geometrical volume such as an ellipsoid. Next, normal maximum intensity projection (MIP) rays are cast (i.e., projected) for voxels of the geometrical volume. The 2D image is then generated using the rays. The 2D image has at least one pixel that corresponds to at least one voxel of the 3D image.
摘要翻译： 公开了一种用于生成具有与该结构的三维（3D）图像的至少一个体素相对应的至少一个像素的结构（例如，器官）的二维（2D）图像的方法和装置。 首先，3D图像中的结构的表面由诸如椭圆体的几何体积建模。 接下来，对于几何体积的体素，投射（即投影）正常的最大强度投影（MIP）射线。 然后使用光线生成2D图像。 2D图像具有对应于3D图像的至少一个体素的至少一个像素。
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公开(公告)号：US20060239541A1
公开(公告)日：2006-10-26
申请号：US11384894
申请日：2006-03-20
CPC分类号： G06K9/34 , G06K2009/00932 , G06K2209/05 , G06T7/11 , G06T7/143 , G06T2207/10081 , G06T2207/20081 , G06T2207/20101 , G06T2207/30101
摘要： A method of segmenting tubular structures in digital images includes selecting a point in an image of a tubular object to be segmented, defining an initial state of the selected point, initializing measurement weights, a conditional probability distribution and a prior probability distribution of a feature space of the initial state, sampling the feature space from the prior probability distribution, estimating a posterior probability distribution by summing sample measurements weighted by the measurement weights, and segmenting a cross section of the tubular object from the posterior probability distribution.
摘要翻译： 在数字图像中分割管状结构的方法包括：选择要分割的管状物体的图像中的点，定义所选点的初始状态，初始化测量权重，条件概率分布和特征空间的先验概率分布 的初始状态，从先验概率分布中抽取特征空间，通过对由测量权重加权的样本测量求和来估计后验概率分布，以及从后验概率分布中分割管状对象的横截面。
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6.发明申请公开(公告)号：US20060235294A1
公开(公告)日：2006-10-19
申请号：US11401640
申请日：2006-04-11
CPC分类号： A61B5/05
摘要： A method for fusing two digitized image datasets for 2-dimensional visualization of the heart, includes providing a first digitized image and a second digitized image, each image acquired from a different imaging modality and each comprising a plurality of intensities corresponding to a domain of points on a 3-dimensional grid, and wherein the first and second images have been registered, segmenting the heart in one of said digitized images, forming a 2-dimensional maximum intensity projection of a surface of said heart from each of said digitized images, and fusing said images by overlaying one 2-dimensional projection of said surface over the other 2-dimensional projection of said surface.
摘要翻译： 一种用于将两个数字化图像数据集融合用于心脏的二维可视化的方法，包括提供第一数字化图像和第二数字化图像，每个图像从不同的成像模态获取，并且每个图像包括对应于点的域的多个强度 并且其中已经登记了第一和第二图像，在所述数字化图像之一中分割心脏，从每个所述数字化图像形成所述心脏的表面的2维最大强度投影，以及 通过将所述表面的一个二维投影覆盖在所述表面的另一个二维投影上来对所述图像进行融合。
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公开(公告)号：US20050105786A1
公开(公告)日：2005-05-19
申请号：US10983921
申请日：2004-11-08
CPC分类号： G06T15/08 , G06T7/0012 , G06T7/11 , G06T7/66 , G06T2207/20044 , G06T2207/20068 , G06T2207/20072 , G06T2207/20132 , G06T2207/20161 , G06T2207/30048 , G06T2207/30101
摘要： A novel method is presented for detecting coronary arteries as well as other peripheral vessels of the heart. After finding the location of the myocardium through a segmentation method, such as a graph theoretic segmentation method, the method models the heart with a biaxial ellipsoid. For each point of the ellipsoid, a collection of intensities are computed that are normal to the surface. This collection is then filtered to detect the cardiovascular structures. Ultimately, vessel centerline points are detected using a vessel tracking method, and linked together to form a complete coronary artery tree.
摘要翻译： 提出了一种用于检测冠状动脉以及心脏其他外周血管的新方法。 通过分割方法（如图形理论分割方法）找到心肌的位置后，该方法用双轴椭圆体对心脏进行建模。 对于椭圆体的每个点，计算与表面垂直的强度集合。 然后将该集合过滤以检测心血管结构。 最终，使用血管跟踪方法检测血管中心线点，并连接在一起以形成完整的冠状动脉树。
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公开(公告)号：US20060239553A1
公开(公告)日：2006-10-26
申请号：US11370302
申请日：2006-03-08
IPC分类号： G06K9/34
CPC分类号： G06K9/38 , G06T7/12 , G06T7/149 , G06T2207/10081 , G06T2207/10088 , G06T2207/30048
摘要： A method and related system for automatically and efficiently isolating the heart in Computer Tomography (CT) or Magnetic Resonance Imaging cardiac scans is disclosed. The method involves segmenting a heart within a set of volumetric data. In accordance with one aspect of the present invention, the set of volumetric data is processed to determine the minimum value of an energy function having a first term, a second term and a third term. The heart is segmented based on the processing of the set of volumetric data.
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9.发明授权公开(公告)号：US07813535B2
公开(公告)日：2010-10-12
申请号：US11401640
申请日：2006-04-11
IPC分类号： G06K9/00
CPC分类号： A61B5/05
摘要： A method for fusing two digitized image datasets for 2-dimensional visualization of the heart, includes providing a first digitized image and a second digitized image, each image acquired from a different imaging modality and each comprising a plurality of intensities corresponding to a domain of points on a 3-dimensional grid, and wherein the first and second images have been registered, segmenting the heart in one of said digitized images, forming a 2-dimensional maximum intensity projection of a surface of said heart from each of said digitized images, and fusing said images by overlaying one 2-dimensional projection of said surface over the other 2-dimensional projection of said surface.
摘要翻译： 一种用于将两个数字化图像数据集融合用于心脏的二维可视化的方法，包括提供第一数字化图像和第二数字化图像，每个图像从不同的成像模态获取，并且每个图像包括对应于点的域的多个强度 并且其中已经登记了第一和第二图像，在所述数字化图像之一中分割心脏，从每个所述数字化图像形成所述心脏的表面的2维最大强度投影，以及 通过将所述表面的一个二维投影覆盖在所述表面的另一个二维投影上来对所述图像进行融合。
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公开(公告)号：US07787683B2
公开(公告)日：2010-08-31
申请号：US11303564
申请日：2005-12-16
申请人： Ali Khamene , Charles Florin , Frank Sauer , James P. Williams
发明人： Ali Khamene , Charles Florin , Frank Sauer , James P. Williams
IPC分类号： G06K9/00
CPC分类号： G06K9/00208 , G06K2009/00932 , G06K2209/05
摘要： A system and method for tree structure based two-dimensional to three-dimensional registration are provided for receiving three-dimensional (3D) data indicative of vessels, segmenting the 3D data with a vessel tree, simulating two-dimensional (2D) data responsive to the segmented 3D data to form a simulated 2D image, receiving 2D data indicative of vessels, segmenting the received 2D data with a vessel tree, finding a distance transform of the segmented 2D data to form a 2D distance map image, considering a set of poses as state vectors with the corresponding probability computed using the similarity measure computation, re-sampling the pose vector to find a set of most probable poses and considering them as hypothesized poses, recomputing the projection and re-evaluating the probability of the hypothesized poses and updating the state vector until the optimal pose is found.
摘要翻译： 提供了一种用于基于树结构的二维至三维配准的系统和方法，用于接收指示血管的三维（3D）数据，用血管树分割3D数据，模拟二维（2D）数据，响应于 分割的3D数据以形成模拟2D图像，接收指示血管的2D数据，用血管树分割接收的2D数据，找到分割的2D数据的距离变换以形成2D距离图图像，考虑一组姿势 作为具有使用相似度测量计算计算的相应概率的状态向量，重新采样姿态向量以找到一组最可能的姿势并将其视为假设姿势，重新计算投影并重新估计假设姿势的概率和更新 状态矢量，直到找到最佳姿势。
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