公开(公告)号：US6047080A

公开(公告)日：2000-04-04

申请号：US665836

申请日：1996-06-19

申请人： Shiuh-Yung James Chen ,  John D. Carroll ,  Charles E. Metz ,  Kenneth R. Hoffmann

发明人： Shiuh-Yung James Chen ,  John D. Carroll ,  Charles E. Metz ,  Kenneth R. Hoffmann

IPC分类号： G06T11/00 ,  G06K9/00

CPC分类号： G06T11/006 ,  G06T2211/404

摘要： A method for in-room computer reconstruction of a three-dimensional (3-D) coronary arterial tree from routine biplane angiograms acquired at arbitrary angles and without using calibration objects. The method includes eight major steps: (1) acquiring biplane projection images of the coronary structure, (2) detecting, segmenting and identifying vessel centerlines and constructing a vessel hierarchy representation, (3) calculating bifurcation points and measuring vessel diameters in coronary angiograms if biplane imaging geometry data is not available, (4) determining biplane imaging parameters in terms of a rotation matrix R and a unit translation vector t based on the identified bifurcation points, (5) retrieving imaging parameters if biplane imaging geometry data is already known, (6) establishing the centerline correspondences of the two-dimensional arterial representations, (7) calculating and recovering the 3-D coronary arterial tree based on the calculated biplane imaging parameters, correspondences of vessel centerlines, and vessel diameters, and (8) rendering the reconstructed 3-D coronary tree and estimating an optimal view of the vasculature to minimize vessel overlap and vessel foreshortening.

摘要翻译： 一种三维（3-D）冠状动脉树的室内计算机重构方法，用于从任意角度采集的常规双平面血管造影图像，而不使用校准对象。 该方法包括八个主要步骤：（1）获取冠状结构的双平面投影图像，（2）检测，分割和识别血管中心线并构建血管层级表示，（3）计算冠状动脉造影图中的分叉点和测量血管直径，如果 双平面成像几何数据不可用，（4）基于所识别的分叉点来确定旋转矩阵R和单位平移向量+ E，rar t + EE的双平面成像参数，（5）如果双平面成像 几何数据是已知的，（6）建立二维动脉表现的中心线对应关系，（7）基于计算的双平面成像参数，血管中心线对应关系和血管直径计算和恢复三维冠状动脉树 ，和（8）渲染重建的3-D冠状动脉树并估计脉管系统的最佳视图以使血管最小化 重叠和血管缩短。

公开(公告)号：US07769215B2

公开(公告)日：2010-08-03

申请号：US10997935

申请日：2004-11-29

申请人： Karla Horsch ,  Maryellen L. Giger ,  Charles E. Metz ,  Carl J. Vyborny ,  Terrieann Vyborny, legal representative ,  Li Lan

发明人： Karla Horsch ,  Maryellen L. Giger ,  Charles E. Metz ,  Carl J. Vyborny ,  Li Lan

IPC分类号： G06K9/00

CPC分类号： G06F19/321 ,  G06F19/00

摘要： A method for computer-assisted interpretation of medical images that factor in characteristics of an individual performing the interpretation. The method automatically determines and/or incorporates prevalence-based computer analysis based on an estimated likelihood of a pathological state, e.g., a malignancy. A system implementing the method includes the calculation of features or other characteristics of images in a known database, calculation of features of an unknown case, calculation of the probability (or likelihood) of disease state, calculation of the modified computer output that includes the internal prevalence (or internal decision-making process) of the user (or group of users), and output of the result.

摘要翻译： 一种用于计算机辅助解释医疗图像的方法，其用于考虑执行解释的个体的特征。 该方法基于病理状态（例如恶性肿瘤）的估计可能性来自动确定和/或结合基于流行率的计算机分析。 实现该方法的系统包括计算已知数据库中的图像的特征或其他特征，计算未知病例的特征，计算疾病状态的概率（或可能性），计算包括内部的修改的计算机输出 用户（或用户组）的流行（或内部决策过程）以及结果的输出。

公开(公告)号：US5133020A

公开(公告)日：1992-07-21

申请号：US383097

申请日：1989-07-21

申请人： Maryellen L. Giger ,  Kunio Doi ,  Charles E. Metz ,  Fang-Fang Yin

发明人： Maryellen L. Giger ,  Kunio Doi ,  Charles E. Metz ,  Fang-Fang Yin

IPC分类号： A61B6/00 ,  G06T1/00 ,  G06T7/00

CPC分类号： A61B6/502 ,  G06T7/0012 ,  G06T2207/30068

摘要： A method for automated analysis of abnormalities in the form of lesions and parenchymal distortions using digital images, including generating image data from respective of digital images derived from at least one selected portion of an object, for example, from mammographical digital images of the left and right breasts. The image data from each of the digital images are then correlated to produce correlated data in which normal anatomical structured background is removed. The correlated data is then searched using one or more predetermined criteria to identify in at least one of the digital images an abnormal region represented by a portion of the correlated data which meets the predetermined criteria. The location of the abnormal region is then indicated, and the indicated location is then subjected to classification processing to determine whether or not the abnormal region is benign or malignant. Classification is performed based on the degree of spiculations of the identified abnormal region. In order to enhance the process of searching for abnormal regions, in one embodiment the gray-level frequency-distributions of two or more images are matched by matching the cumulative gray-level histograms of the images in question.

摘要翻译： 一种用于使用数字图像以损伤和实质变形形式的异常的自动分析的方法，包括从来自对象的至少一个选定部分的各个数字图像生成图像数据，例如从左侧的乳房摄影数字图像和 右乳房 然后将来自每个数字图像的图像数据相关联，以产生去除正常解剖结构背景的相关数据。 然后使用一个或多个预定标准来搜索相关数据，以便在至少一个数字图像中识别满足预定标准的相关数据的一部分所表示的异常区域。 然后指示异常区域的位置，然后对所指示的位置进行分类处理，以确定异常区域是否良性或恶性。 基于识别的异常区域的刺激程度进行分类。 为了增强搜索异常区域的处理，在一个实施例中，通过匹配所讨论的图像的累积灰度级直方图来匹配两个或多个图像的灰度级频率分布。

公开(公告)号：US4875165A

公开(公告)日：1989-10-17

申请号：US126266

申请日：1987-11-27

申请人： Laura E. Fencil ,  Charles E. Metz ,  Kunio Doi

发明人： Laura E. Fencil ,  Charles E. Metz ,  Kunio Doi

IPC分类号： G06T7/00

CPC分类号： G06T7/0075 ,  G06T2207/30101

摘要： A novel method for determination of 3-D structure in biplane angiography, including determining the distance of a perpendicular line from the focal spots of respective x-ray sources to respective image planes and defining the origin of each biplane image as the point of intersection with the perpendicular line thereto, obtaining two biplane digital images at arbitrary orientations with respect to an object, identifying at least 8 points in both images which correspond to respective points in the object, determining the image coordinates of the 8 or more identified object points in the respective biplane images, constructing a set of linear equations in 8 unknowns based on the image coordinates of the object points and based on the known focal spot to image plane distances for the two biplane images; solving the linear equations to yield the 8 unknowns, which represent the fundamental geometric parameters of the biplane imaging system; using the fundamental parameters to calculate the 3-dimensional positions of the object points identified in the biplane images; and determination of the 3-D positions of the vessel segments between the object points.

摘要翻译： 一种用于确定双平面血管造影术中3-D结构的新方法，包括确定垂直线与各个X射线源的焦点到各个图像平面的距离，并将每个双平面图像的原点定义为与 确定相对于对象的任意取向的两个双平面数字图像，识别与对象中的各个点对应的两个图像中的至少8个点，确定在该对象中的8个或更多个识别的对象点的图像坐标 基于对象点的图像坐标并基于已知的焦点到两个双平面图像的图像平面距离来构造8个未知数的一组线性方程; 求解线性方程得到8个未知数，表示双平面成像系统的基本几何参数; 使用基本参数来计算双平面图像中识别的对象点的三维位置; 以及在对象点之间确定血管段的3-D位置。