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    • 1. 发明授权
    • Method of processing an image in which the noise is signal-dependent
    • 处理其中噪声是信号依赖性的图像的方法
    • US06256403B1
    • 2001-07-03
    • US09207733
    • 1998-12-08
    • Raoul FlorentShérif Makram-EbeidChristel Soyer
    • Raoul FlorentShérif Makram-EbeidChristel Soyer
    • G06K900
    • G06T5/20
    • The invention relates to an image processing method for determining a noise curve (NC) relating to an image, including acquisition (100) of an intensity image (J0) of pixels in which the noise is dependent on the signal, cutting (101) the intensity levels into substantially uniform (Mk) bands (QMk), determination (111) of statistical rules (f) which link distributions (Hk) of the standard noise deviations at the levels (QSk) to the intensities of said bands (QMk), determination (114), on the basis of statistical rules (f), of standard noise deviations (SBk) as a function of intensities (Mk), and determination (120) of the noise curve (NC) as a statistical rule (g) of the variations of the standard noise deviations (SBk) as a function of the intensity (Mk). The invention also relates to a method of reducing the noise which utilizes the standard noise deviation (SBk) and to a medical imaging apparatus which utilizes the noise reduction method.
    • 本发明涉及一种用于确定与图像相关的噪声曲线(NC)的图像处理方法,包括:其中噪声取决于信号的像素的强度图像(J0)的获取(100),切割(101) 强度水平变为基本上均匀(Mk)频带(QMK),统计规则(f)的确定(111),水平(QSk)的标准噪声偏差与所述频带(QMK)的强度的链路分布(Hk) 作为统计规则(g)的噪声曲线(NC)的确定(120),基于统计规则(f),作为强度函数(Mk)的标准噪声偏差(SBk)的确定(114) 作为强度(Mk)的函数的标准噪声偏差(SBk)的变化。本发明还涉及一种减少利用标准噪声偏差(SBk)的噪声的方法以及利用 降噪方法
    • 2. 发明授权
    • Image viewing system and method for generating filters for filtering image features according to their type
    • 图像查看系统和方法,用于根据其类型生成用于过滤图像特征的过滤器
    • US07738724B2
    • 2010-06-15
    • US10544204
    • 2004-02-03
    • Shérif Makram-EbeidRaoul Florent
    • Shérif Makram-EbeidRaoul Florent
    • H04N5/14H04N9/64
    • G06T5/20
    • 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)].
    • 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)]。
    • 3. 发明授权
    • Image processing method, system and apparatus for forming an overview image of an elongated scene
    • 用于形成细长场景的概览图像的图像处理方法,系统和装置
    • US06587598B1
    • 2003-07-01
    • US09507401
    • 2000-02-18
    • Sylvain DevillersShérif Makram-EbeidSteven Lobregt
    • Sylvain DevillersShérif Makram-EbeidSteven Lobregt
    • G06K936
    • G06T11/00A61B6/5241G06T7/223G06T2207/10116G06T2207/30004
    • The invention relates to an image processing method with steps of acquiring (1) a sequence of translation overlapping images (11) representing an elongated scene; determining regions (ROI) in image pairs (Pk) and region sections (Bj) having dimensions suitable for matching (2); estimating region and section displacement fields (24, 25); regularizing (3) said region and section displacement fields (34, 35); interpolating pixel values of sections that have dimensions suitable for merging calculated from the regularized section displacement field, so as to evaluate the pixel values of corresponding regions and further scaling the sections in said regions to dimensions calculated from the regularized region displacement field, and reconstructing (4) an overview image (41) of the elongated scene (112) with said regions. The invention also relates to a system for implementing said method and a medical examination apparatus having said image processing system.
    • 本发明涉及一种具有以下步骤的图像处理方法:(1)代表细长场景的翻译重叠图像序列(11); 确定具有适于匹配尺寸(2)的尺寸的图像对(Pk)和区域部分(Bj)中的区域(ROI); 估计区域和截面位移场(24,25); 规定(3)所述区域和区段位移场(34,35); 内插具有适合于从正则化区域位移场计算出的合并的尺寸的区段的像素值,以便评估对应区域的像素值并进一步将所述区域中的区域缩放为从正则化区域位移场计算的尺寸,并重建( 4)具有所述区域的细长场景(112)的概览图像(41)。 本发明还涉及一种用于实现所述方法的系统和具有所述图像处理系统的医学检查装置。
    • 4. 发明授权
    • Image processing method for automatic adaptation of 3-D deformable model onto a substantially tubular surface of a 3-D object
    • 用于将3-D可变形模型自动适应到3-D物体的基本管状表面上的图像处理方法
    • US08922552B2
    • 2014-12-30
    • US10542122
    • 2004-01-12
    • Jean-Michel RouetMaxim FradkinShérif Makram-Ebeid
    • Jean-Michel RouetMaxim FradkinShérif Makram-Ebeid
    • G06T17/00G06T15/00G06T7/00G06T17/20
    • G06T17/20G06T7/12G06T7/149G06T2200/04G06T2207/10072G06T2207/30028G06T2207/30061G06T2207/30101
    • 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.
    • 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。
    • 5. 发明授权
    • Image processing system for automatic adaptation of a 3-D mesh model onto a 3-D surface of an object
    • 用于将3-D网格模型自动适应到对象的3-D表面上的图像处理系统
    • US08437579B2
    • 2013-05-07
    • US10535466
    • 2003-11-14
    • Maxim FradkinJean-Michel RouetShérif Makram-Ebeid
    • Maxim FradkinJean-Michel RouetShérif Makram-Ebeid
    • G06K9/32G06K9/00
    • G06T7/0012G06T7/12G06T7/149G06T17/20G06T2207/10072G06T2207/10116G06T2207/30004
    • 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.
    • 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。
    • 6. 发明授权
    • Image processing method and system involving contour detection steps
    • 涉及轮廓检测步骤的图像处理方法和系统
    • US06366684B1
    • 2002-04-02
    • US09286102
    • 1999-04-02
    • Olivier GerardShérif Makram-Ebeid
    • Olivier GerardShérif Makram-Ebeid
    • G06K900
    • G06T7/0012G06T7/12G06T2207/10116G06T2207/30048
    • The present invention includes a method for processing an intensity image (J0) formed of points representing an object (LV), including steps for automatically supplying points so as to determine a minimum path representing the object contour (CT), involving: acquiring data of the intensity image, evaluating probability values (P) indicating the probability that a given point of the image belongs to predefined regions of the image relating to the object, and deriving a contour model (SP) of the object from said probability values (P), transforming the image (J0) into a three-dimensional matrix image (IM) based on said contour model (SP) and said probability values (P), performing dynamic programming (DP) in order to determine said minimum path (CT) in said three-dimensional matrix image (IM).
    • 本发明包括一种处理由表示物体(LV)的点形成的强度图像(J0)的方法,包括用于自动提供点以确定表示对象轮廓(CT)的最小路径的步骤,包括:获取数据 强度图像,评估概率值(P),其指示图像的给定点属于与对象相关的图像的预定义区域的概率,以及从所述概率值(P)导出对象的轮廓模型(SP) ,基于所述轮廓模型(SP)和所述概率值(P)将图像(J0)变换为三维矩阵图像(IM),执行动态规划(DP),以便确定所述最小路径 所述三维矩阵图像(IM)。
    • 7. 发明授权
    • Image processing system and medical examination apparatus for correlating features in medical images
    • 图像处理系统和医学图像相关特征的医学检查仪器
    • US07529392B2
    • 2009-05-05
    • US10536813
    • 2003-11-20
    • Shérif Makram-Ebeid
    • Shérif Makram-Ebeid
    • G06K9/00
    • G06T7/32G06T2207/10132G06T2207/10136G06T2207/30004
    • An image processing system, for correlating shapes in multi-dimensional images including image data processor for estimating a similarity measure including estimating two image signals representing shapes defined in respective windows in two multi-dimensional images using a Hermite Transform applied to both the image signals for performing an evaluation of two first sets of scalar valued Hermite coefficients from which a combination yields a transformed set of scalar valued Hermite coefficients {KI}. The inverse Hermite Transform is applied to the transformed set of scalar valued Hermite coefficients to achieve the computation of a windowed correlation function. The maximum of the windowed correlation function is estimated as the wanted similarity measure to correlate the shapes. The correlated shapes and/or processed images are displayed.
    • 一种图像处理系统,用于使多维图像中的形状相关,包括用于估计相似性度量的图像数据处理器,所述图像数据处理器包括估计使用应用于两个图像信号的Hermite变换的两个多维图像中在各个窗口中定义的形状的两个图像信号, 执行两组标量Hermite系数的评估,组合产生一组经变换的标量Hermite系数{KI}集合。 逆Hermite变换被应用于经变换的标量Hermite系数组,以实现窗口相关函数的计算。 窗口相关函数的最大值被估计为需要的相似性度量以使形状相关联。 显示相关的形状和/或处理的图像。
    • 8. 发明授权
    • Medical viewing system and image processing method for visualization of folded anatomical portions of object surfaces
    • 用于可视化物体表面的折叠解剖部分的医学观察系统和图像处理方法
    • US07286693B2
    • 2007-10-23
    • US10511176
    • 2003-04-04
    • Shérif Makram-EbeidMaxim FradkinJean-Michel Rouet
    • Shérif Makram-EbeidMaxim FradkinJean-Michel Rouet
    • G06K9/00
    • G06K9/34G06K2209/05G06T7/0012G06T7/12G06T19/00G06T2207/10081G06T2207/30028G06T2210/41
    • 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.
    • 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 。
    • 9. 发明授权
    • Method of processing a noisy multidimensional image and medical imaging apparatus for carrying out this method
    • 处理噪声多维图像的方法和用于执行该方法的医学成像装置
    • US06466700B1
    • 2002-10-15
    • US09222399
    • 1998-12-29
    • Shérif Makram-Ebeid
    • Shérif Makram-Ebeid
    • G06F1500
    • G06T5/20
    • The invention relates to an image processing method for preserving the edges of objects reproduced in an intensity image and for reducing the noise, including the steps of acquisition of the intensity image in the form of a multidimensional matrix of points (2-D, 3-D), determination of the intensity gradient at each point, defined by its direction ((&thgr;p) and its modulus (∥{right arrow over (G)}p∥), and the passage at each point of a recursive spatial filter having an anisotropic kernel and providing a degree of smoothing which is greater in the direction perpendicular to the direction of the gradient than in the direction of the intensity gradient. The kernel is spherical on the scanning lines which are not normal to the intensity gradient and it is shaped as a flattened sphere whose major dimension extends in the direction of lines normal to the intensity gradient in a scanned point. The invention also relates to a medical X-ray imagine apparatus for carrying out this method.
    • 本发明涉及一种用于保持在强度图像中再现的物体的边缘并用于减少噪声的图像处理方法,包括以点(2-D,3-D)的多维矩阵的形式获取强度图像的步骤, D),确定每个点的强度梯度,由其方向((tt))及其模量(∥{右箭头(G))p‖定义),以及递归空间滤波器 各向异性核,并提供在垂直于梯度方向的方向上比在强度梯度方向上更大的平滑程度,核在与强度梯度不正交的扫描线上是球形的,并且其形状 作为扁平球体,其主要尺寸沿着与扫描点的强度梯度正交的线的方向延伸,本发明还涉及一种用于实施该方法的医用X射线想像装置。
    • 10. 发明授权
    • Image processing method including a chaining step, and medical imaging apparatus including means for carrying out this method
    • 包括链接步骤的图像处理方法和包括用于执行该方法的装置的医学成像设备
    • US06430315B1
    • 2002-08-06
    • US09082444
    • 1998-05-20
    • Shérif Makram-Ebeid
    • Shérif Makram-Ebeid
    • G06K948
    • G06T7/155G06T7/12G06T2207/10116G06T2207/30101
    • An image processing method which includes the acquisition (10) of an intensity image (J) formed by a matrix of points (A) having non-binary intensity values and representing filiform objects, and also includes steps for the detection of filiform objects, which steps include: automatic determination (20) of an intensity vector field ({right arrow over (V)}), forming a state image constituted by characteristics concerning magnitudes and angles [∥{right arrow over (V)}∥,&thgr;] of intensity vectors a the various points (A) of the intensity image, an operation (30) for chaining the points of an individual filiform object by means of automatic filtering [Q(i)] of the state image, thus performing a selection of a dense and continuous field of intensity vectors corresponding to points of the filiform object.
    • 一种图像处理方法,其包括由具有非二进制强度值并表示丝状物体的点(A)的矩阵形成的强度图像(J)的获取(10),并且还包括用于检测丝状物体的步骤,其中 步骤包括:强度矢量场({右箭头(V)})的自动确定(20)),形成由关于大小和角度的特征构成的状态图像[∥{right arrow over(V)} ||,θ] 强度矢量,强度图像的各个点(A),用于通过状态图像的自动滤波[Q(i)]链接单个丝状物体的点的操作(30),从而执行选择 稠密和连续的强度矢量场对应于丝状物体的点。