公开(公告)号：US6134353A

公开(公告)日：2000-10-17

申请号：US950014

申请日：1997-10-14

Applicant: Sherif Makram-Ebeid

Inventor： Sherif Makram-Ebeid

IPC: G03B42/02 ,  A61B6/00 ,  G06T1/00 ,  G06T5/00 ,  G06T5/30 ,  G06K9/42 ,  G06K9/44

CPC classification number: G06T7/606 ,  G06T5/002 ,  G06T5/20 ,  G06T7/0083 ,  G06T2207/10121 ,  G06T2207/20016 ,  G06T2207/20044 ,  G06T2207/30101

Abstract: A digital image (J.sub.o) processing method for automatic extraction of strip-shaped objects, includes a skeletonization operation with steps for forming smoothed images (J.sub.i) at several scales (.sigma..sub.i), and, in each smoothed image (J.sub.i), extracting boundaries of objects, extracting potential median pixels (.OMEGA..sub.iP) associated with the center (.OMEGA..sub.i) of a circle of radius (R.sub.i) proportional (k) to the scale (.sigma..sub.i), tangent to boundaries at a pair of distinct pixels (E.sub.1, E.sub.2), and associated with a measure of dependability regarding alignment of the center (.OMEGA..sub.i) and pixels of the pair, extracting median pixels .OMEGA..sub.iM, and constructing skeletons of objects by tracking in the digital image (J.sub.MED) formed by the extracted median pixels. The step of extracting median pixels .OMEGA..sub.im includes a first selection of potential median pixels of the same locations which have the maximum measure of dependability, and a second selection of remaining potential median pixels which locally have a maximum intensity in the direction of alignment .

Abstract translation: 用于自动提取带状物体的数字图像（Jo）处理方法包括具有用于以几个尺度（sigma i）形成平滑图像（Ji）的步骤的骨架化操作，并且在每个平滑图像（Ji）中，提取边界 提取与一对不同像素（E1）上的边界相切的与半径（Ri）成比例（k）的圆的中心（OMEGA i）与刻度（sigma i）相关的潜在中值像素（OMEGA iP） ，E2），并且与关于对中心（OMEGA i）和对象的像素的对准的可靠性的度量相关联，通过在由所提取的数据图像形成的数字图像（JMED）中进行跟踪来提取中值像素OMEGA iM和构建对象的骨架 中值像素。 提取中值像素OMEGA im的步骤包括具有最大可靠性度量的相同位置的潜在中值像素的第一选择，以及在对准方向局部具有最大强度的剩余电位中值像素的第二选择。

公开(公告)号：US6047090A

公开(公告)日：2000-04-04

申请号：US895253

申请日：1997-07-16

Applicant: Sherif Makram-Ebeid

Inventor： Sherif Makram-Ebeid

IPC: A61B6/00 ,  G06T1/00 ,  G06T5/30 ,  G06T7/60 ,  G06T5/20 ,  G06K9/44 ,  G06K9/46

CPC classification number: G06T7/0091 ,  G06T7/0081 ,  G06T2207/30101 ,  G06T2207/30172

Abstract: A method of processing a digital image representing ribbon-shaped objects of non-uniform intensity contrasting with a background of lower intensity includes an automatic segmentation phase having one or more morphological opening operations effected, respectively, with one or more three-dimensional structuring elements. The latter have a two-dimensional base parallel to the image plane and have a non-binary intensity function in a third dimension. Preferably, the automatic segmentation phase is carried out by means of a set of two-dimensional spatial structuring elements with a third intensity dimension. The set contains N anisotropic structuring elements oriented from .pi./N to .pi./N and one isotropic structuring element.

Abstract translation: 处理表示具有不均匀强度的带状物体的数字图像与低强度背景对比的方法包括具有一个或多个形态开启操作的自动分割阶段，分别与一个或多个三维结构元素相互影响。 后者具有平行于图像平面的二维基底，并且在第三维度中具有非二进制强度函数。 优选地，自动分割阶段通过具有第三强度维度的一组二维空间结构元素来执行。 该集合包含从pi / N到pi / N定向的N个各向异性构造元素和一个各向同性结构元素。

公开(公告)号：US5630020A

公开(公告)日：1997-05-13

申请号：US363554

申请日：1994-12-21

Applicant: Sherif Makram-Ebeid

Inventor： Sherif Makram-Ebeid

IPC: G06G7/60 ,  G06F15/18 ,  G06N3/04 ,  G06N3/08 ,  G06N99/00

CPC classification number: G06N3/04 ,  G06N3/08

Abstract: The invention relates to a method of learning which is carried out in a neural network operating on the basis of the gradient back-propagation algorithm. In order to determine the new synaptic coefficients with a minimum learning period, the invention introduces parameters which privilege corrections based on the sign of the error at the start of learning and which gradually induce less coarse corrections. This can be complemented by other parameters which favor a layer-wise strategy, accelerating the learning in the input layers with respect to the output layers. It is also possible to add a strategy which acts on the entire neural network.

Abstract translation: 本发明涉及一种在基于梯度反向传播算法运行的神经网络中执行的学习方法。 为了确定具有最小学习周期的新突触系数，本发明基于学习开始时误差的符号引入特权校正的参数，并逐渐引起较少的粗略校正。 这可以通过其他参数来补充，这些参数有利于层次化策略，加速输入层相对于输出层的学习。 也可以添加一个作用于整个神经网络的策略。

公开(公告)号：US20100034441A1

公开(公告)日：2010-02-11

申请号：US12529358

申请日：2008-03-03

Applicant: Sherif Makram-Ebeid ,  Odile Bonnefous ,  Peter Maria Johannes Rongen

Inventor： Sherif Makram-Ebeid ,  Odile Bonnefous ,  Peter Maria Johannes Rongen

IPC: G06K9/00

CPC classification number: A61B6/504 ,  A61B6/481 ,  A61B6/507 ,  G06T5/50 ,  G06T7/0012 ,  G06T7/262 ,  G06T2200/28 ,  G06T2207/10121 ,  G06T2207/20056 ,  G06T2207/30016 ,  G06T2207/30104

Abstract: Method of image processing, the method comprises providing a sequence (2) of images (F) which have contrast modulation (100) along said sequence (2); providing a reference frequency (fm, 10) related to said contrast modulations (100) along said sequence (2); and filtering said sequence of images depending on said reference frequency (fm, 10). According to an embodiment, a windowed harmonic filtering is applied to the sequence of input images to extract fundamental in-phase (122) and quadrature (124) components at a heart beat frequency (fm). The resultant time-signal phase is displayed (34) as image sequence.

Abstract translation: 图像处理方法，所述方法包括提供沿所述序列（2）具有对比度调制（100）的图像序列（2）; 提供与所述对比度调制（100）相关的所述序列（2）的参考频率（fm，10）。 并根据所述参考频率（fm，10）对所述图像序列进行滤波。 根据实施例，将窗口谐波滤波应用于输入图像序列，以心跳频率（fm）提取基本同相（122）和正交（124）分量。 合成的时间信号相位显示为（34）作为图像序列。

公开(公告)号：US20090028397A1

公开(公告)日：2009-01-29

申请号：US11718448

申请日：2005-10-25

Applicant: Sherif Makram-Ebeid

Inventor： Sherif Makram-Ebeid

IPC: G06K9/00

CPC classification number: G06T7/33 ,  G06T2207/30004

Abstract: First and second images to be registered are filtered using a low-pass filter kernel having a sharp central peak and a slow decay away from the central peak. The apparatus determines a mapping function that transforms the filtered first image into the filtered second image.

Abstract translation: 使用具有尖锐的中心峰值和远离中心峰值的缓慢衰减的低通滤波器核心对要注册的第一和第二图像进行滤波。 该装置确定将经滤波的第一图像变换成经滤波的第二图像的映射函数。

公开(公告)号：US20080137953A1

公开(公告)日：2008-06-12

申请号：US11575701

申请日：2005-09-20

Applicant: Sherif Makram-Ebeid

Inventor： Sherif Makram-Ebeid

IPC: G06K9/00 ,  G06T5/30 ,  A61B5/00

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：US20060132655A1

公开(公告)日：2006-06-22

申请号：US10544204

申请日：2004-02-03

Applicant: Sherif Makram-Ebeid ,  Raoul Florent

Inventor： Sherif Makram-Ebeid ,  Raoul Florent

IPC: H04N5/14 ,  H04N9/64

CPC classification number: G06T5/20

Abstract: Image processing system for generating a multidimensional adaptive oriented filter to be applied to the point intensities of a d-dimensional image, comprising analyzing means with means (5, fi) to estimate at each image point a probability measure (Fi) of the presence of a type of feature of interest and a weighting control model (10) issuing a weighting control vector (11, VC) constructed from said probability measure, for the user to control synthesized adaptive kernels at each image point; and synthesizing means for generating the filter kernels at each image point adapted to the type of the features of interest, whose filtering strength is controlled by the weighting control vector. The system may comprise a selection unit (40) for the user to select synthesizing means for generating “pre-mixing filtering means” comprising combining means (30, XH) dependent on the type of the image features having inputs for the weighting control vector (11, VC) and the image data [I(x)] and having an aspect for weighted adaptive kernels (35, H) adapted to the type of the image features to produce the filtered image signal [H(x)], and/or “post-mixing filtering means” comprising both isotropic and anisotropic filtering means [15, gi)] applied independently of the type of the image features, whose outputs (Gi) are combined at each image point and adapted using the weighting control vector (11, VC) to produce the filtered image signal [G(x)].

Abstract translation: 图像处理系统，用于生成要应用于d维图像的点强度的多维自适应取向滤波器，包括具有用于在每个图像点处估计存在的概率测度（Fi）的装置（5，fi）的分析装置 一种感兴趣的特征的类型，以及发布由所述概率测量构成的加权控制向量（11，VC）的加权控制模型（10），用于在每个图像点处控制合成的自适应内核; 以及合成装置，用于在适于感兴趣特征的类型的每个图像点处产生滤波器核，其滤波强度由加权控制矢量控制。 该系统可以包括选择单元（40），用于用户选择合成装置，用于产生“预混合滤波装置”，该装置包括取决于具有用于加权控制矢量的输入的图像特征的类型的组合装置（30，XH） 11，VC）和图像数据[I（x）]，并且具有适于图像特征的类型的加权自适应内核（35，H）的方面以产生滤波图像信号[H（x）]，和/ 或“后混合滤波装置”，其包括独立于图像特征的类型的各向同性和各向异性滤波装置[15，gi]]，其输出（Gi）在每个图像点被组合并且使用加权控制矢量 11，VC）以产生滤波图像信号[G（x）]。

公开(公告)号：US20060120580A1

公开(公告)日：2006-06-08

申请号：US10526192

申请日：2003-08-22

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

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

IPC: G06K9/00

CPC classification number: G06T17/00 ,  G06T7/0012 ,  G06T7/12 ,  G06T9/20 ,  G06T2207/10081 ,  G06T2207/30048

Abstract: The invention relates to a medical image processing system comprising means for identifying a boundary of the object, and reference points of said object boundary within an observation window; and for decomposing said object boundary into boundary unit elements, centred at the reference points, means for coding each reference point including spatial information and intensity information relating to said reference point and the corresponding unit element; computing transform coefficients from said coding data. A finite number of said coefficients is used for representing said object boundary by a polynomial transform function. This system has means for comparing, matching, correlating, smoothing corresponding boundary portions of the object in different images, only by performing operations on the transform coefficients. These operations yield rotation, translation, scale change transform coefficients.

Abstract translation: 本发明涉及一种医学图像处理系统，包括用于识别对象的边界的装置和观察窗内的所述对象边界的参考点; 并且用于将所述对象边界分解成以参考点为中心的边界单元元素，用于对包括与所述参考点和相应单元元素相关的空间信息和强度信息的每个参考点进行编码的装置; 从所述编码数据计算变换系数。 有限数量的所述系数用于通过多项式变换函数来表示所述对象边界。 该系统具有用于仅通过对变换系数进行操作来比较，匹配，相关，平滑对象在不同图像中的对应边界部分的装置。 这些操作产生旋转，平移，缩放变换变换系数。

公开(公告)号：US20060098007A1

公开(公告)日：2006-05-11

申请号：US10542122

申请日：2004-01-12

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

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

IPC: G06T15/00

CPC classification number: G06T17/20 ,  G06T7/12 ,  G06T7/149 ,  G06T2200/04 ,  G06T2207/10072 ,  G06T2207/30028 ,  G06T2207/30061 ,  G06T2207/30101

Abstract: An image processing method, comprising acquiring an image of a 3-D tubular object of interest to segment; computing a 3-D path that corresponds to the centerline of the tubular object and defining segments on said 3-D path; creating an initial straight deformable cylindrical mesh model, of any kind of mesh, with a length defined along its longitudinal axis equal to the length of the 3-D path; dividing this initial mesh model into segments of length related to the different segments of the 3-D path; computing, for each segment of the mesh, a rigid-body transformation that transforms the initial direction of the mesh into the direction of the related segment of the 3-D path, and applying this transformation to the vertices of the mesh corresponding to that segment. The method comprises avoiding self-intersections in the bent regions of the tubular deformable mesh model and sharp radius changes from one segment of the mesh model to the other, by adapting or modulating the radius of the cylindrical deformable mesh model according to the local curvature of the 3-D path, sample distance of the path points and a predefined input radius.

Abstract translation: 一种图像处理方法，包括获取要分割的感兴趣的3-D管状物体的图像; 计算对应于管状物体的中心线并且在所述3-D路径上限定段的3-D路径; 创建任何类型的网格的初始直的可变形的圆柱形网格模型，其长度沿其等于三维路径的长度的纵轴限定; 将该初始网格模型划分为与三维路径的不同段相关的长度段; 对于网格的每个段计算刚体变换，其将网格的初始方向转换成3-D路径的相关段的方向，并将该变换应用于对应于该段的网格的顶点 。 该方法包括：通过根据局部曲率适应或调整圆柱形可变形网格模型的半径，避免管状可变形网格模型的弯曲区域中的自相交和从网格模型的一个部分到另一部分的锐利半径变化 3-D路径，路径点的采样距离和预定义的输入半径。

公开(公告)号：US20050192495A1

公开(公告)日：2005-09-01

申请号：US10499310

申请日：2002-12-16

Applicant: Sherif Makram-Ebeid ,  Pierre LeLong ,  Bert Verdonck ,  Jean-Pierre Franciscus Ermes

Inventor： Sherif Makram-Ebeid ,  Pierre LeLong ,  Bert Verdonck ,  Jean-Pierre Franciscus Ermes

IPC: A61B6/00 ,  A61B6/08 ,  A61B6/12 ,  A61N5/10 ,  G06K9/00 ,  A61B5/05

CPC classification number: A61B6/488 ,  A61B6/08 ,  A61B6/12 ,  A61B6/583 ,  A61N5/1049

Abstract: A medical examination apparatus including an imaging means (2,3), a viewing system (4), wherein image data processing means (5) is arranged to facilitate production of different images of a feature of interest such that the pose of the feature is comparable in the different images. The image data processing means (5) estimates the pose of the anatomical feature in a first image generated by the imaging means, produces imaging means control data indicative of the desired imaging geometry for controlling one or more parameters of the imaging means (2,3) for producing a further image having the feature of interest in the estimated pose, and outputs the produced imaging means control data. The output control data may be output in a viewable form and/or output directly to the imaging means (2,3) so as automatically to control the parameters thereof. The output control data can also control the imaging means so as to produce an image having desired intensity characteristics.

Abstract translation: 一种医疗检查装置，包括成像装置（2,3），观察系统（4），其中图像数据处理装置（5）被布置为便于生成感兴趣特征的不同图像，使得特征的姿态为 在不同的图像中相当。 图像数据处理装置（5）估计由成像装置产生的第一图像中的解剖特征的姿态，产生指示所需成像几何的成像装置控制数据，以控制成像装置的一个或多个参数（2,3 ），用于产生具有估计姿态的感兴趣特征的另一图像，并且输出所产生的成像装置控制数据。 输出控制数据可以以可视形式输出和/或直接输出到成像装置（2,3），以便自动地控制其参数。 输出控制数据也可以控制成像装置，以产生具有所需强度特性的图像。