公开(公告)号：US08411924B2

公开(公告)日：2013-04-02

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，该方法包括提供沿着所述序列（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：US20110274326A1

公开(公告)日：2011-11-10

申请号：US13145920

申请日：2010-01-18

Applicant: Pascal Allain ,  Sherif Makram-Ebeid ,  Oudom Somphone

Inventor： Pascal Allain ,  Sherif Makram-Ebeid ,  Oudom Somphone

IPC: G06K9/00

CPC classification number: A61B8/08 ,  A61B6/503 ,  G06T7/12 ,  G06T2207/30048

Abstract: A system for visualizing a myocardium represented by a cardiac image comprises a resampling means and a visualizing means. The resampling means re-samples the intensity levels at sampling points on a plurality of curved surfaces, each curved surface enclosing at least part of a heart cavity and zero or more of the plurality of curved surfaces and being enclosed by the remaining curved surfaces of the plurality of curved surfaces, the plurality of curved surfaces together covering a hollow region in the cardiac image, the hollow region comprising the outer cavity walls of a group of at least one heart cavity. The visualizing means is arranged for visualizing at least part of at least one of the plurality of curved surfaces, using resampled intensity levels obtained from the resampling means. The group of at least one heart cavity may be the left atrium alone. It may also be the complete heart.

Abstract translation: 用于可视化由心脏图像表示的心肌的系统包括重采样装置和可视化装置。 重采样装置在多个弯曲表面上的采样点处重新采样强度水平，每个弯曲表面包围心腔的至少一部分和多个弯曲表面中的零个或多个，并且被剩余的弯曲表面包围 多个弯曲表面，所述多个弯曲表面一起覆盖心脏图像中的中空区域，所述中空区域包括一组至少一个心脏腔的外腔壁。 可视化装置被布置成使用从重采样装置获得的再采样的强度级别可视化多个曲面中的至少一个曲面的至少一部分。 至少一个心腔的组可以是单独的左心房。 它也可能是完整的心脏。

公开(公告)号：US20060078194A1

公开(公告)日：2006-04-13

申请号：US10535466

申请日：2003-11-14

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

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

IPC: G06K9/00

CPC classification number: G06T7/0012 ,  G06T7/12 ,  G06T7/149 ,  G06T17/20 ,  G06T2207/10072 ,  G06T2207/10116 ,  G06T2207/30004

Abstract: An image processing system having means of automatic adaptation of 3-D surface Model to image features, for Model-based image segmentation, comprising: dynamic adaptation means for adapting the Model resolution to image features including locally setting higher resolution when reliable image features are found and setting lower resolution in the opposite case. This system comprises estimation means for estimating a feature confidence parameter for each image feature. The model resolution is locally adapted according to said parameter. The feature confidence parameter depends on the feature distance and on the estimation of quality of this feature including estimation of noise. The large distances and the noisy, although close features are penalized. The resolution of the Model is decreased in absence of confidence and is gradually increased with the rise of feature confidence.

Abstract translation: 一种图像处理系统，具有自动适应图形特征的图像特征的装置，用于基于模型的图像分割，包括：用于将模型分辨率适应于图像特征的动态适应装置，包括当发现可靠的图像特征时本地设置较高分辨率 并在相反的情况下设置较低的分辨率。 该系统包括用于估计每个图像特征的特征置信度参数的估计装置。 模型分辨率根据所述参数进行局部调整。 特征置信度参数取决于特征距离以及该特征的质量估计，包括估计噪声。 很大的距离和嘈杂，虽然密切的特点被惩罚。 模型的分辨率在没有信心的情况下下降，随着特征信心的增加而逐渐增加。

公开(公告)号：US20060056669A1

公开(公告)日：2006-03-16

申请号：US10536813

申请日：2003-11-20

Applicant: Sherif Makram-Ebeid

Inventor： Sherif Makram-Ebeid

IPC: G06K9/00

CPC classification number: G06T7/32 ,  G06T2207/10132 ,  G06T2207/10136 ,  G06T2207/30004

Abstract: An image processing system, for correlating shapes in multi-dimensional images (m-D), comprising image data processing means for estimating a similarity measure including computing means for: estimating two image signals (f(x), g(y)) representing shapes defined in respective windows (W1, W2) in two multi-dimensional images; using a Hermite Transform (HT) applied to both said image signals for performing an evaluation of two first sets of scalar valued Hermite coefficients (fI, gI, FI, GI), from which a combination yields a transformed set of scalar valued Hermite coefficients {KI}; applying the inverse Hermite Transform (HT-1) to the transformed set of scalar valued Hermite coefficients {KI} to achieve the computation of a windowed correlation function (K(v)); and estimating the maximum of said windowed correlation function as the wanted similarity measure to correlate the shapes; and means for displaying the correlated shapes and/or processed images. This system has means for applying rotation, translation and scale change on the scalar valued Hermite coefficients of the image signals and the correlation function, instead of on the images. This system can correlate very complex shapes having parts that locally show different deformations from the global complex shapes. The invention also relates to an examination apparatus coupled to this image processing system.

Abstract translation: 一种用于相关多维图像（mD）中的形状的图像处理系统，包括用于估计包括计算装置的相似性度量的图像数据处理装置，用于：估计表示形状的两个图像信号（f（x），g（y）） 在两个多维图像中的各个窗口（W 1，W 2）中; 使用应用于两个所述图像信号的Hermite变换（HT）来执行两组标量Hermite系数（fI，gI，FI，GI）的评估，组合产生经变换的标量Hermite系数集合{ KI}; 将逆Hermite变换（HT-1）应用于经变换的标量Hermite系数集合{KI}，以实现窗口相关函数（K（v））的计算; 并且将所述窗口相关函数的最大值估计为所需相似性度量以使形状相关; 以及用于显示相关形状和/或处理图像的装置。 该系统具有用于对图像信号的标量Hermite系数和相关函数而不是图像应用旋转，平移和缩放变化的装置。 该系统可以将具有局部显示与全局复杂形状不同变形的部分的非常复杂的形状相关联。 本发明还涉及耦合到该图像处理系统的检查装置。

公开(公告)号：US20050025347A1

公开(公告)日：2005-02-03

申请号：US10499944

申请日：2002-10-16

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 ,  G06T1/00 ,  G06T3/00 ,  G06T5/50 ,  G06T7/00 ,  G06K9/00

CPC classification number: A61B6/08 ,  A61B6/12 ,  G06T7/33 ,  G06T2207/30008

Abstract: A medical viewing system including an imaging means (2,3) and 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 of interest is comparable in the different images. The image data processing means (5) estimates the pose of the feature of interest in a second image relative to the pose thereof in a first image, typically generated at a different time, and applies an affine transformation, for example to the second image, so as to produce a transformed second image in which the feature of interest has substantially the same pose as in the first image. The image data may also be processed so as to normalize the intensity characteristics of the images to be compared. Gross differences in pose can be eliminated by processing the image data so as to generate control data indicating how to set up the imaging apparatus to produce an image having the feature of interest oriented substantially in a desired pose.

Abstract translation: 布置包括成像装置（2,3）和图像数据处理装置（5）的医学观察系统，以促进产生感兴趣特征的不同图像，使得感兴趣特征的姿态在不同图像中是可比较的。 图像数据处理装置（5）在通常在不同时间生成的第一图像中相对于其姿势估计第二图像中的感兴趣特征的姿态，并且例如对第二图像应用仿射变换， 以便产生其中感兴趣的特征具有与第一图像基本相同姿势的变换的第二图像。 还可以处理图像数据，以便对要比较的图像的强度特性进行归一化。 可以通过处理图像数据来消除姿态的总体差异，以便产生指示如何设置成像装置的控制数据，以产生具有基本上处于期望姿态的感兴趣特征的图像。

公开(公告)号：US06668083B1

公开(公告)日：2003-12-23

申请号：US09555870

申请日：2000-06-07

Applicant: Bert L. A. Verdonck ,  Sherif Makram-Ebeid ,  Sylvain Devillers ,  Philippe Lacour

Inventor： Bert L. A. Verdonck ,  Sherif Makram-Ebeid ,  Sylvain Devillers ,  Philippe Lacour

IPC: G06K946

CPC classification number: G06T7/60 ,  A61B5/1075 ,  A61B6/505 ,  G06T2207/10116 ,  G06T2207/20044 ,  G06T2207/20101 ,  G06T2207/30012

Abstract: A method of deriving geometrical data of a structure from an image of the structure comprises the selection of marker points in the image. A typical contour is associated with the marker points and the geometrical data is calculated from the typical contour. According to the invention, correctness values are associated with the marker points. The correctness values indicate the reliability of the correspondence of the marker points to typical (anatomical) features in the structure. Furthermore, a cost function is associated with a typical contour, which cost function is dependent on the correctness values of the marker points. The typical contour is arranged in such a manner that the cost function reaches an optimum value, such as a local maximum or minimum value. The method is particularly suitable for deriving geometrical data, such as angles and distances concerning the spinal column of a patient. Preferably, some clearly recognizable marker points are manually indicated and derived marker points are obtained by interpolation between the manually indicated marker points.

Abstract translation: 从结构图像导出结构的几何数据的方法包括选择图像中的标记点。 典型轮廓与标记点相关联，并且几何数据根据典型轮廓计算。 根据本发明，正确性值与标记点相关联。 正确性值表示标记点与结构中典型（解剖）特征的对应关系的可靠性。 此外，成本函数与典型轮廓相关联，该成本函数取决于标记点的正确性值。 典型轮廓以成本函数达到最佳值，例如局部最大值或最小值的方式布置。 该方法特别适用于导出几何数据，例如与患者的脊柱相关的角度和距离。 优选地，手动指示一些可识别的标记点，并且通过在手动指示的标记点之间的内插来获得导出的标记点。

公开(公告)号：US08848989B2

公开(公告)日：2014-09-30

申请号：US13145920

申请日：2010-01-18

Applicant: Pascal Allain ,  Sherif Makram-Ebeid ,  Oudom Somphone

Inventor： Pascal Allain ,  Sherif Makram-Ebeid ,  Oudom Somphone

IPC: G06K9/00 ,  G06T7/00 ,  A61B6/00 ,  A61B8/08

CPC classification number: A61B8/08 ,  A61B6/503 ,  G06T7/12 ,  G06T2207/30048

Abstract: A system for visualizing a myocardium represented by a cardiac image comprises a resampling means and a visualizing means. The resampling means resamples the intensity levels at sampling points on a plurality of curved surfaces, each curved surface enclosing at least part of a heart cavity and zero or more of the plurality of curved surfaces and being enclosed by the remaining curved surfaces of the plurality of curved surfaces, the plurality of curved surfaces together covering a hollow region in the cardiac image, the hollow region comprising the outer cavity walls of a group of at least one heart cavity. The visualizing means is arranged for visualizing at least part of at least one of the plurality of curved surfaces, using resampled intensity levels obtained from the resampling means. The group of at least one heart cavity may be the left atrium alone. It may also be the complete heart.

Abstract translation: 用于可视化由心脏图像表示的心肌的系统包括重采样装置和可视化装置。 重采样装置重新采样多个曲面上的采样点处的强度水平，每个弯曲表面包围心腔的至少一部分和多个弯曲表面中的零个或多个，并被多个弯曲表面的剩余弯曲表面包围 所述多个弯曲表面一起覆盖所述心脏图像中的中空区域，所述中空区域包括一组至少一个心脏腔的外腔壁。 可视化装置被布置成使用从重采样装置获得的再采样的强度级别可视化多个曲面中的至少一个曲面的至少一部分。 至少一个心腔的组可以是单独的左心房。 它也可能是完整的心脏。

公开(公告)号：US07440609B2

公开(公告)日：2008-10-21

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：US20060078219A1

公开(公告)日：2006-04-13

申请号：US10542897

申请日：2004-01-16

Applicant: Raoul Florent ,  Sherif Makram-Ebeid

Inventor： Raoul Florent ,  Sherif Makram-Ebeid

IPC: G06K9/40

CPC classification number: G06T5/20

Abstract: Image processing system for generating a multidimensional adaptive oriented filter to process image data in a number d of dimensions, comprising product means for producing weighted scalar coefficients [W1(r), . . . Wi(r), . . . Wd(r)] of a number d of vectors of an oriented basis of vectors by a number n of local vectors related to each point; combining means (Π) for producing a set of one-scalar weight coefficients [W(r)] from the combination of the weighted scalar products; and filtering means (g) for producing filtered image data [g(x)] from the combination of the image data [I(x)] with the one-scalar weight coefficients [W(r)]. The system further comprises a direction estimator (10) for providing, at each image point, an oriented orthogonal basis of a number d of vectors (e1, . . . ei, . . . ed); a site generator (20) for providing n site vectors of a local vector support; and product means for computing d scalar products of vectors of the orthogonal basis by each of the n site vectors. This system may also comprise means for providing weighting means for the scalar products through scalar functions. The filtering means may comprise a weighted normalized sum of the image data by the one-scalar weight coefficients [W(r)].

Abstract translation: 图像处理系统，用于生成多维自适应取向滤波器以处理d维维度中的图像数据，包括用于产生加权标量系数的产品装置[W 1]（r）。 。 。 （r），。 。 。 向量的向量的d个向量的数量为d个与每个点相关的n个局部向量的第（d）个（r） 组合装置（Pi），用于从加权标量积的组合产生一组一标量系数[W（r）]; 以及用于从图像数据[I（x）]与一个标量权重系数[W（r）]的组合产生滤波图像数据[g（x）]的滤波装置（g）。 所述系统还包括方向估计器（10），用于在每个图像点处提供矢量数目d的定向正交基础（e 1，...， >，...，...） 站点生成器（20），用于提供局部矢量支持的n个站点向量; 以及用于通过n个站点向量中的每一个来计算正交基的向量的d个标量积的乘积装置。 该系统还可以包括用于通过标量函数为标量产品提供加权装置的装置。 滤波装置可以包括通过一标量权系数[W（r）]的图像数据的加权归一化和。

公开(公告)号：US20050163357A1

公开(公告)日：2005-07-28

申请号：US10515362

申请日：2003-05-15

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

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

IPC: A61B6/03 ,  A61B5/00 ,  A61B5/055 ,  G06T15/00 ,  G06T17/00 ,  G06K9/00

CPC classification number: G06T17/00

Abstract: A medical viewing system comprising data acquisition means for acquiring image data in an image of an object surface and processing means for integrating clinical data with the image data, comprising processing means for processing the image data, whereby to identify a reference surface approximating the object surface and reference points on said reference surface; constructing a map, called distance map, comprising one or several distance transformed surface(s), from the reference surface, formed of image points that correspond univocally to reference points of the reference surface; estimating, at the location of the image points of the map, clinical data, and combining the clinical data and the image data at the location of the reference points, so that to integrate the clinical data in the image data; said medical viewing system further comprising image visualisation means for visualising the object images and/or the processed images.

Abstract translation: 一种医疗观察系统，包括用于获取物体表面的图像中的图像数据的数据获取装置和用于将临床数据与图像数据集成的处理装置，包括用于处理图像数据的处理装置，由此识别近似物体表面的参考表面 和所述参考表面上的参考点; 从参考表面构造一个称为距离图的地图，所述距离图包括一个或几个距离变换的表面，由与参考表面的参考点单向对应的图像点形成; 估计在地图的图像点的位置，临床数据，以及将参考点的位置处的临床数据和图像数据相结合，以将临床数据整合在图像数据中; 所述医学观察系统还包括用于可视化对象图像和/或处理图像的图像可视化装置。