公开(公告)号：US20050163356A1

公开(公告)日：2005-07-28

申请号：US10511176

申请日：2003-04-04

Applicant: Sherif Makram-Ebeid ,  Maxim Fradkin ,  Jean-Michel Rouet

Inventor： Sherif Makram-Ebeid ,  Maxim Fradkin ,  Jean-Michel Rouet

IPC: A61B6/03 ,  A61B5/055 ,  G06K9/00 ,  G06T1/00 ,  G06T3/00 ,  G06T5/00 ,  G06T17/00 ,  G06T17/40

CPC classification number: G06K9/34 ,  G06K2209/05 ,  G06T7/0012 ,  G06T7/12 ,  G06T19/00 ,  G06T2207/10081 ,  G06T2207/30028 ,  G06T2210/41

Abstract: A medical viewing system having means, for analysing and visualising medical image data corresponding to folded surfaces, comprises means of segmentation of the image data to identify the object surface, means for approximating the object surface by a reference surface, and means for detecting folded portions of the object surface including means for determining points of the reference surface at which a normal to a zone forming a patch on the reference surface intersects with the object surface. If there are more than one point of intersection, then that patch corresponds to a folded portion of the object surface. Fold-portion patches are assigned a code such that, on display or printing of an image (RP) corresponding to the reference surface, the fold-portions will be flagged (for example by coloured or patterned regions (HP). Other fold-attribute data can also be determined, coded and displayed: for example, the number and location of intersections between the first surface and the normal to the fold-portion patch, the distance to the first intersection, the distance between the second and third intersections, etc.

Abstract translation: 具有用于分析和可视化对应于折叠表面的医学图像数据的装置的医疗观察系统包括用于识别物体表面的图像数据的分割的装置，用于通过参考表面近似物体表面的装置，以及用于检测折叠部分的装置 所述物体表面包括用于确定参考表面的点的装置，在所述基准表面处，形成所述基准表面上的贴片的区域的法线与物体表面相交。 如果存在多于一个交点，则该补丁对应于物体表面的折叠部分。 折叠部分补丁被分配代码，使得在显示或打印对应于参考表面的图像（RP）时，折叠部分将被标记（例如通过有色或图案区域（HP））。其他折叠属性 还可以确定，编码和显示数据：例​​如，第一表面与折叠部分补丁的法线之间的交叉点的数量和位置，到第一交点的距离，第二和第三交叉点之间的距离等 。

公开(公告)号：US5872861A

公开(公告)日：1999-02-16

申请号：US771876

申请日：1996-12-23

Applicant: Sherif Makram-Ebeid

Inventor： Sherif Makram-Ebeid

IPC: A61B6/00 ,  G06T1/00 ,  G06T5/00 ,  G06T5/20 ,  G06T7/00 ,  G06T7/60 ,  G06K9/46

CPC classification number: G06T7/0083 ,  G06T7/0012 ,  G06T7/0091 ,  G06T7/60 ,  G06T2207/10016 ,  G06T2207/10116 ,  G06T2207/20044 ,  G06T2207/20084 ,  G06T2207/30101 ,  G06T2207/30104 ,  Y10S128/922

Abstract: A method of processing digital angiographic images which enables automatic detection of stenoses includes a tracking step for the identification of pixels or points situated on the central lines of vessels, and a step for the detection of stenoses by measurement of the intensity of pixels along the central lines of the vessels. The stenoses detection step includes a sub-step for deciding whether a pixel zone is a potential stenosis zone when the intensity of its pixels exhibits a local variation so as to assume an intermediate value between the intensity of the pixels to both sides of this zone and the intensity of the pixels of the image background, a sub-step for defining an icon around potential stenosis zones, and a sub-step for the extraction of the pixels of edges of the vessel segments in the icons.

Abstract translation: 一种处理能够自动检测狭窄的数字血管造影图像的方法包括用于识别位于血管中心线上的像素或点的跟踪步骤，以及通过测量沿着中心的像素强度来检测狭窄的步骤 船只线。 狭窄检测步骤包括：当其像素的强度呈现局部变化以便呈现在该区域的像素与两侧的像素强度之间的中间值时，判定像素区域是否为潜在狭窄区域的子步骤;以及 图像背景的像素的强度，用于限定潜在狭窄区周围的图标的子步骤，以及用于提取图标中的血管片段的边缘的像素的子步骤。

公开(公告)号：US20060126922A1

公开(公告)日：2006-06-15

申请号：US10542094

申请日：2003-12-15

Applicant: Jens Von Berg ,  Vladimir Pekar ,  Michael Kaus ,  Olivier Gerard ,  Jean-Michel Rouet ,  Sherif Makram-Ebeid ,  Maxim Fradkin

Inventor： Jens Von Berg ,  Vladimir Pekar ,  Michael Kaus ,  Olivier Gerard ,  Jean-Michel Rouet ,  Sherif Makram-Ebeid ,  Maxim Fradkin

IPC: G06K9/00 ,  G06K9/34

CPC classification number: G06T7/0012 ,  G06T7/12 ,  G06T7/149 ,  G06T2207/10072 ,  G06T2207/30008 ,  G06T2207/30048

Abstract: The invention relates to a method for segmentation of a three-dimensional structure in a three-dimensional data set, especially a medical data set. The method uses a three-dimensional deformable model, wherein the surface of the model consists of a net of polygonal meshes. The meshes are split into groups, and a feature term is assigned to each group. After the model has been placed over the structure of interest, the deformable model is recalculated in consideration of the feature terms of each group.

Abstract translation: 本发明涉及三维数据集，特别是医学数据集中三维结构分割的方法。 该方法使用三维可变形模型，其中模型的表面由多边形网格网组成。 网格被分成组，并且将特征项分配给每个组。 在将模型放置在感兴趣的结构之后，考虑到每个组的特征项，重新计算可变形模型。

公开(公告)号：US07046830B2

公开(公告)日：2006-05-16

申请号：US09936824

申请日：2001-01-24

Applicant: Olivier Gerard ,  Milena Planells-Rodriguez ,  Sherif Makram-Ebeid ,  Pierre Lelong ,  Bert Leo Alfons Verdonck

Inventor： Olivier Gerard ,  Milena Planells-Rodriguez ,  Sherif Makram-Ebeid ,  Pierre Lelong ,  Bert Leo Alfons Verdonck

IPC: G06K9/00

CPC classification number: G06T7/60 ,  G06T2207/30172

Abstract: A method for extracting geometrical data from a 2-D digital image of the spine, comprising steps for determining spine outlines, endplates and corners wherein: digitizing the spine center line and end points; constructing a 2-D image band, referred to as Rubber-Band, whose center line is a spline representing the spine center line, and unfolding said Rubber-Band for constructing a 2-D Rectangular-Band; processing the 2-D Rectangular-Band image data in order to estimate best paths going through selected points for determining the spine outlines, then the endplates based on the found outline data and the corners at the intersection of the outlines and endplates.

公开(公告)号：US5909515A

公开(公告)日：1999-06-01

申请号：US673995

申请日：1996-07-01

Applicant: Sherif Makram-Ebeid

Inventor： Sherif Makram-Ebeid

IPC: A61B6/00 ,  G06K9/40 ,  G06T1/00 ,  G06T5/00 ,  G06T5/20 ,  H04N5/21 ,  H04N7/18 ,  G06T5/10

CPC classification number: G06K9/40 ,  G06T5/002 ,  G06T2207/10016 ,  G06T2207/10121 ,  G06T2207/20182 ,  G06T2207/30004

Abstract: A method for the temporal filtering of an image of a sequence of noisy digitized images includes the evaluation of an integration equation which produces the filtered intensity (P.sub.t.sup.C) of a given pixel �A.sub.t (x,y)! in the present image (J.sub.t.sup.P) by evaluating the sum of the noisy intensity (I.sub.t.sup.P) of the present (t) and the product of a gain factor (K.sub.t.sup.P) and the difference of said noisy intensity of the present (I.sub.t.sup.P) and the causal filtered intensity (P.sub.t-1.sup.C). According to this evaluation, the gain factor (K.sub.t.sup.C) is a function of the causal gain factor (K.sub.t-1.sup.C) and of a continuity coefficient (.alpha..sub.t.sup.C) which measures the probability of intensity continuity between the present noisy intensity (I.sub.t.sup.P) and the causal filtered intensity (P.sub.t-1.sup.C). A device for carrying out this method includes a sub-assembly whose input (100) receives the present noisy sample (I.sub.t.sup.P) and which includes a memory (10) which supplies a causal filtered intensity (P.sub.t-1.sup.C), a memory (17) which supplies a causal gain factor (K.sub.t-1.sup.C), and means for calculating the integration equation.

Abstract translation: 用于对噪声数字化图像序列的图像进行时间滤波的方法包括对产生当前图像（JtP）中的给定像素[At（x，y）]的滤波强度（PtC）的积分方程的评估， 通过评估当前（t）和增益因子（KtP）的乘积的噪声强度（ItP）和当前（ItP）的所述噪声强度与因果滤波强度（Pt-1C）的差的总和， 。 根据该评估，增益因子（KtC）是因果增益因子（Kt-1C）和连续性系数（αtC）的函数，其测量当前噪声强度（ItP）和 因果过滤强度（Pt-1C）。 用于执行该方法的装置包括其输入（100）接收当前噪声样本（ItP）并且包括提供因果滤波强度（Pt-1C）的存储器（10），存储器（17） 其提供因果增益因子（Kt-1C），以及用于计算积分方程的装置。

公开(公告)号：US5768405A

公开(公告)日：1998-06-16

申请号：US721523

申请日：1996-09-26

Applicant: Sherif Makram-Ebeid

Inventor： Sherif Makram-Ebeid

IPC: A61B6/00 ,  G06T1/00 ,  G06T5/00 ,  G06T5/20 ,  G06T7/00 ,  G06T7/60 ,  G06K9/44

CPC classification number: G06T7/0083 ,  G06T7/0012 ,  G06T7/0091 ,  G06T7/60 ,  G06T2207/10016 ,  G06T2207/10116 ,  G06T2207/20044 ,  G06T2207/20084 ,  G06T2207/30101 ,  G06T2207/30104 ,  Y10S128/922

Abstract: Digital image processing method for local determination of the center and the width of objects in the form of contrasting bands on a background. A digital image processing method, for representation of objects in the form of contrasting bands of substantially uniform intensity on a substantially uniform background, includes a step for the identification of pixels situated on the central lines of the objects, which step is referred to as a "tracking" step. This method is characterized in that the step includes a first filtering operation which is executed by applying, to each image, a series of N lozenge-type-bidimensional, selective, recursive low-pass filters having respective ones of the principal directions angulary spaced apart 180.degree./N in order to determine the direction of each band-shaped object segment as that in which the response of one of the filters is maximum.

Abstract translation: 数字图像处理方法，用于在背景上以对比色带的形式局部确定物体的中心和宽度。 一种数字图像处理方法，用于表示在基本上均匀的背景上具有基本均匀强度的对比带的形式的对象，包括用于识别位于对象的中心线上的像素的步骤，该步骤被称为 “跟踪”步骤。 该方法的特征在于，该步骤包括第一滤波操作，该第一滤波操作通过向每个图像应用一系列具有相应方向间隔开的主要方向的N个菱形二维低选择递归低通滤波器 180°/ N，以确定每个带状物体段的方向为其中一个过滤器的响应最大的方向。

公开(公告)号：US5617459A

公开(公告)日：1997-04-01

申请号：US500653

申请日：1995-07-12

Applicant: Sherif Makram-Ebeid ,  Jacques Breitenstein

Inventor： Sherif Makram-Ebeid ,  Jacques Breitenstein

IPC: A61B6/00 ,  G06T1/00 ,  G06T1/40 ,  G06T5/00 ,  G06T7/60 ,  G01N23/04

CPC classification number: G06T7/0083 ,  G06T7/0012 ,  G06T7/0087 ,  G06T2207/10116 ,  G06T2207/20016 ,  G06T2207/20084 ,  G06T2207/20164 ,  G06T2207/30048

Abstract: A method of processing images in order automatically to detect key pixels (K.sub.2, K.sub.3, K.sub.4) situated on the contour of an object (LV) in an initial image (I.sub.0), and a device for implementing this method in which there is storage, in the digitized initial image (I.sub.0), of the intensity of the pixels [A.sub.0 (x,y)] and of data of regions of the object (LV), classes (C.sub.1 C.sub.m); selection of pixels of interest (PI), on the contour, inside and outside the object (LV); generation of characteristics (E.sub.1 E.sub.k) for each of the pixels of interest (PI); classification of the pixels of interest (PI) into the classes (C.sub.1 C.sub.m); and selection of the key pixels (K.sub.2, K.sub.3, K.sub.4) from corresponding classes (C.sub.2, C.sub.3, C.sub.4).

Abstract translation: 一种处理图像以自动地检测位于初始图像（I0）中的对象（LV）的轮廓上的关键像素（K2，K3，K4）的方法，以及用于实现其中存储的方法的装置， 在数字化初始图像（I0）中，像素[A0（x，y）]的强度和对象（LV）的区域的数据的类别（C1Cm）; 感兴趣像素（PI），轮廓，物体内部和外部（LV）的选择; 针对每个感兴趣像素（PI）的特征的产生（E1 Ek）; 感兴趣像素（PI）分类到类（C1 Cm）中; 以及从对应的类（C2，C3，C4）中选择关键像素（K2，K3，K4）。

公开(公告)号：US07873195B2

公开(公告)日：2011-01-18

申请号：US11575701

申请日：2005-09-20

Applicant: Sherif Makram-Ebeid

Inventor： Sherif Makram-Ebeid

IPC: G06K9/00 ,  G06K9/34

CPC classification number: G06T7/12 ,  G06T2207/10072 ,  G06T2207/30004

Abstract: A method and an apparatus for segmenting contours of objects in an image is disclosed. It particularly applies to the segmentation of body organs or parts depicted in medical images. An input image containing at least one object comprises pixel data sets of at least two dimensions. An edge-detected image is obtained from the input image. Markers are selected in the edge-detected image, and assigned respective fixed electrical potential values. An electrical potential map is generated as a solution to an electrostatic problem in a resistive medium having a resistivity dependent on the edge-detected image, with the markers defining electrodes at the respective fixed potential values. Object contours are estimated, for example by thresholding, from the generated potential map.

Abstract translation: 公开了一种用于分割图像中的对象的轮廓的方法和装置。 它特别适用于医疗图像中描绘的身体器官或部位的分割。 包含至少一个对象的输入图像包括至少二维的像素数据集。 从输入图像获得边缘检测图像。 在边缘检测图像中选择标记，并分配各自的固定电位值。 产生电位图作为具有取决于边缘检测图像的电阻率的电阻介质中的静电问题的解决方案，其中标记将电极定义在相应的固定电位值。 例如通过阈值处理从生成的电位图估计对象轮廓。

公开(公告)号：US07450749B2

公开(公告)日：2008-11-11

申请号：US10483018

申请日：2002-07-05

Applicant: Jean-Michel Rouet ,  Maxim Fradkin ,  Sherif Makram-Ebeid

Inventor： Jean-Michel Rouet ,  Maxim Fradkin ,  Sherif Makram-Ebeid

IPC: G06K9/00

CPC classification number: G06T19/003 ,  G06T19/20 ,  G06T2210/41 ,  G06T2219/028 ,  G06T2219/2016

Abstract: The invention relates to an image processing method for displaying a processed image of a three dimensional (3-D) object using a two-dimensional display means and for interacting with the surface of the displayed 3-D object comprising the construction and display of at least two coupled views of the surface of the 3-D object, including a global 3-D view and a connected local 2-D view of the surface of said object on which local interactions are made. This method further comprises interactive navigation on the object surface in one of the two views and processing data in said view with automatic updating of corresponding data in the other coupled view. Application: Medical Imaging.

Abstract translation: 本发明涉及一种图像处理方法，用于使用二维显示装置显示三维（3-D）物体的处理图像，并且与所显示的3-D物体的表面相互作用，包括构造和显示在 包括全局3-D视图和所述对象的表面的连接的局部2-D视图，其中进行局部交互。 该方法还包括在两个视图中的一个视图上的对象表面上的交互导航，并且在另一个耦合视图中自动更新相应的数据来处理所述视图中的数据。 应用：医学影像

公开(公告)号：US20070223815A1

公开(公告)日：2007-09-27

申请号：US11574124

申请日：2005-07-27

Applicant: Sherif Makram-Ebeid

Inventor： Sherif Makram-Ebeid

IPC: G06K9/34

CPC classification number: G06K9/34 ,  G06T7/12 ,  G06T7/66 ,  G06T2207/10072 ,  G06T2207/20101 ,  G06T2207/30004

Abstract: A method for segmenting contours of objects in an image, comprising a first step of receiving an input image containing at least one object, said image comprising pixel data sets of at least two dimensions, a second step of selecting a reference point of said input image within the object, a third step of generating a coordinate map of a distance parameter between the pixels of said input image and said reference point, a fourth step of processing said input image to provide an edge-detected image from said input image, a fifth step of calculating at least one statistical moment of said distance parameter in relation to a pixel p of said input image, with weight factors depending on the edge-detected image and on a filter kernel defined on a window function centered on said pixel p, and a sixth step of analyzing said at least one statistical moment to evaluate whether said pixel p is within said object.

Abstract translation: 一种用于分割图像中的对象的轮廓的方法，包括：接收包含至少一个对象的输入图像的第一步骤，所述图像包括至少两个维度的像素数据集;第二步骤，选择所述输入图像的参考点 第三步骤，产生所述输入图像的像素与所述参考点之间的距离参数的坐标图;处理所述输入图像以从所述输入图像提供边缘检测图像的第四步骤;第五步骤， 计算相对于所述输入图像的像素p的所述距离参数的至少一个统计矩阵的步骤，具有取决于边缘检测图像的加权因子和在以所述像素p为中心的窗口函数上定义的滤波器核心，以及 分析所述至少一个统计时刻以评估所述像素p是否在所述对象内的第六步骤。