公开(公告)号：US06259802B1

公开(公告)日：2001-07-10

申请号：US08885041

申请日：1997-06-30

申请人： Marie-Pierre Jolly ,  Alok Gupta ,  Davi Geiger

发明人： Marie-Pierre Jolly ,  Alok Gupta ,  Davi Geiger

IPC分类号： G06K948

CPC分类号： G06K9/3216 ,  G06T7/246

摘要： A technique of tracking an object of interest in a sequence of images using active polyline contours. An image processor converts a sequence of images into digital image data related to light intensity at the pixels of each image. A computer stores the digital image data and forms an initial polyline that substantially outlines an edge of the object in a first image. The computer forms input polylines for each of the subsequent images which substantially outline the edge in the corresponding images and are derived from the optimal polyline of each previous such image. The computer processes the digital image data, performing a graph exploration procedure that starts with the initial polyline in the first image and the input polylines in the subsequent images. The graph exploration procedure searches polylines in a predefined search space to find the corresponding optimal polylines. The computer evaluates edge strength of the different polylines with respect to the light intensity of its underlying pixels to obtain corresponding contour costs. The polyline with the smallest contour cost is selected as the optimal contour for each of the images. The set of optimal contours are used to track the object of interest.

摘要翻译： 使用主动折线轮廓跟踪图像序列中的感兴趣对象的技术。 图像处理器将图像序列转换成与每个图像的像素处的光强相关的数字图像数据。 计算机存储数字图像数据并形成初始折线，其基本上概述第一图像中对象的边缘。 计算机为每个随后的图像形成输入折线，其基本上概述了相应图像中的边缘，并且从每个先前这样的图像的最佳折线导出。 计算机处理数字图像数据，执行从第一图像中的初始折线开始的图形探索过程和随后图像中的输入折线。 图形探索程序在预定义的搜索空间中搜索折线以找到相应的最佳折线。 计算机评估不同折线相对于其底层像素的光强度的边缘强度，以获得相应的轮廓成本。 选择具有最小轮廓成本的折线作为每个图像的最佳轮廓。 最佳轮廓的集合用于跟踪感兴趣的对象。

公开(公告)号：US20130094725A1

公开(公告)日：2013-04-18

申请号：US13558625

申请日：2012-07-26

申请人： Mehmet Akif Gulsun ,  Marie-Pierre Jolly

发明人： Mehmet Akif Gulsun ,  Marie-Pierre Jolly

IPC分类号： G06K9/34

CPC分类号： G06K9/34 ,  G06T7/0012 ,  G06T7/12 ,  G06T7/162 ,  G06T2207/10072 ,  G06T2207/10116 ,  G06T2207/20072 ,  G06T2207/20101 ,  G06T2207/30101

摘要： A boundary in a medical image is segmented. To increase reproducibility, a multi-level segmentation approach is used. A boundary is detected based on a seed point. The boundary is used to construct a banded graph. Local segmentation is performed using the banded graph. Based on the local segmentation, a new seed point is found. The local segmentation identifies a consistent location for the seed point. The boundary detection is performed again using the new seed point.

摘要翻译： 医疗图像中的边界被分割。 为了增加再现性，使用多级分割方法。 基于种子点检测边界。 边界用于构建带状图。 使用带状图执行局部分割。 基于局部分割，找到一个新的种子点。 局部分割识别种子点的一致位置。 使用新的种子点再次执行边界检测。

公开(公告)号：US20120121154A1

公开(公告)日：2012-05-17

申请号：US13296487

申请日：2011-11-15

申请人： Hui Xue ,  Yixun Liu ,  Christoph Guetter ,  Marie-Pierre Jolly ,  Jens Guhring

发明人： Hui Xue ,  Yixun Liu ,  Christoph Guetter ,  Marie-Pierre Jolly ,  Jens Guhring

IPC分类号： G06K9/00

CPC分类号： G06T7/33 ,  G06T2207/10088 ,  G06T2207/30048

摘要： A method and system for propagation of myocardial infarction from delayed enhanced magnetic resonance imaging (DE-MRI) to cine MRI is disclosed. A reference frame is selected in a cine MRI sequence. Deformation fields are calculated within the cine MRI sequence to register the frames of the cine MRI sequence to the reference frame. A DE-MRI image having an infarction region is registered to the reference frame of the cine MRI sequence. The DE-MRI image may be registered to the infarction region using a hybrid registration algorithm that unifies both intensity and feature points into a single cost function. Infarction information in the DE-MRI image is then propagated cardiac phases of the frames in the cine MRI sequence based on the registration of the DE-MRI image to the reference frame and the plurality of deformation fields calculated within the cine MRI sequence.

摘要翻译： 公开了一种从延迟增强磁共振成像（DE-MRI）向电磁MRI传播心肌梗死的方法和系统。 在电影MRI序列中选择参考帧。 在电影MRI序列中计算变形场，以将电影MRI序列的帧注册到参考帧。 具有梗塞区域的DE-MRI图像被登记到电影MRI序列的参考帧。 可以使用将强度和特征点统一为单个成本函数的混合配准算法将DE-MRI图像登记到梗塞区域。 DE-MRI图像中的梗死信息然后基于DE-MRI图像的登记到参考帧和在电影MRI序列中计算的多个变形场，在电影MRI序列中的帧的心脏相位传播。

公开(公告)号：US07680312B2

公开(公告)日：2010-03-16

申请号：US11429685

申请日：2006-05-08

申请人： Marie-Pierre Jolly ,  Nikolaos Paragios ,  Maxime G. Taron

发明人： Marie-Pierre Jolly ,  Nikolaos Paragios ,  Maxime G. Taron

IPC分类号： G06K9/34 ,  G06K9/46

CPC分类号： G06T7/155 ,  G06T7/12 ,  G06T7/149 ,  G06T2207/10088 ,  G06T2207/20081 ,  G06T2207/30016

摘要： A method for segmenting an object of interest from an image of a patient having such object. Each one of a plurality of training shapes is distorted to overlay a reference shape with a parameter Θi being a measure of the amount of distortion required to effect the overlay. A vector of the parameters Θi is obtained for every one of the training shapes through the minimization of a cost function along with an estimate of uncertainty for every one of the obtained vectors of parameters Θi, such uncertainty being quantified as a covariance matrix Σi. A statistical model represented as {circumflex over (f)}H (Θ,Σ) is generated with the sum of kernels having a mean Θi and covariance Σi. The desired object of interest in the image of the patient is identified by positioning of the reference shape on the image and distorting the reference shape to overlay the obtained image with a parameter Θ being a measure of the amount of distortion required to effect the overlay. An uncertainty is quantified as a covariance matrix Σ and an energy function E=Eshape+Eimage is computed to obtain the probability of the current shape in the statistical shape model Eshape(Θ,Σ)=−log({circumflex over (f)}H) and the fit in the image Eimage.

摘要翻译： 一种用于从具有该对象的患者的图像中分割感兴趣对象的方法。 多个训练形状中的每一个被扭曲以覆盖参考形状，参数Θi是影响覆盖所需的扭曲量的量度。 通过使成本函数的最小化以及对于所获得的参数Θi的每一个的不确定性的估计，对每个训练形状获得参数Θi的向量，这样的不确定性被量化为协方差矩阵Sgr i 。 使用具有平均值Θi和协方差Sgr i的内核的总和来生成表示为{f（f）} H（Θ，＆Sgr;）中的回归的统计模型。 通过将参考形状定位在图像上并使参考形状变形以使得所获得的图像重叠，以参数Θ作为影响覆盖所需的失真量的度量来识别期望的患者图像对象。 不确定性被量化为协方差矩阵＆Sgr; 并且计算能量函数E = Eshape + Eimage，以获得统计形状模型中的当前形状的概率Eshape（Θ，＆Sgr;）= - log（{f（f）} H）和图像中的拟合 Eimage。

公开(公告)号：US07536050B2

公开(公告)日：2009-05-19

申请号：US11772915

申请日：2007-07-03

申请人： Yuri Boykov ,  Marie-Pierre Jolly

发明人： Yuri Boykov ,  Marie-Pierre Jolly

IPC分类号： G06K9/34

CPC分类号： G06K9/342 ,  G06K9/6224 ,  G06T7/11 ,  G06T7/162 ,  G06T2207/20101

摘要： An image editing system comprises an input device for inputting an image, a graphical user interface for selecting background and object seeds for the image, and an image processor for editing the image. The image processor has various editing routines, including a segmentation routine that builds a graph associated with the image and uses a graph cut algorithm to cut the graph into segments. The user marks certain pixels as “object” or “background” to provide hard constraints for segmentation. Additional soft constraints incorporate both boundary and regional information. Graph cuts are used to find the globally optimal segementation of the image. The obtained solution gives the best balance of boundary and region properties satisfying the constraints.

摘要翻译： 图像编辑系统包括用于输入图像的输入装置，用于选择图像的背景和对象种子的图形用户界面，以及用于编辑图像的图像处理器。 图像处理器具有各种编辑例程，包括构建与图像相关联的图形的分割例程，并使用图形切割算法将图形切割成段。 用户将某些像素标记为“对象”或“背景”，为分割提供硬约束。 额外的软约束包含边界和区域信息。 图形切割用于查找图像的全局最佳分割。 得到的解得到满足约束条件的边界和区域性质的最佳平衡。

公开(公告)号：US20070014457A1

公开(公告)日：2007-01-18

申请号：US11429685

申请日：2006-05-08

申请人： Marie-Pierre Jolly ,  Nikolaos Paragios ,  Maxime Taron

发明人： Marie-Pierre Jolly ,  Nikolaos Paragios ,  Maxime Taron

IPC分类号： G06K9/00 ,  G06K9/34

CPC分类号： G06T7/155 ,  G06T7/12 ,  G06T7/149 ,  G06T2207/10088 ,  G06T2207/20081 ,  G06T2207/30016

摘要： A method for segmenting an object of interest from an image of a patient having such object. Each one of a plurality of training shapes is distorted to overlay a reference shape with a parameter Θi being a measure of the amount of distortion required to effect the overlay. A vector of the parameters Θi is obtained for every one of the training shapes through the minimization of a cost function along with an estimate of uncertainty for every one of the obtained vectors of parameters Θi, such uncertainty being quantified as a covariance matrix Σi. A statistical model represented as {circumflex over (ƒ)}H (Θ,Σ) is generated with the sum of kernels having a mean Θi and covariance Σi . The desired object of interest in the image of the patient is identified by positioning of the reference shape on the image and distorting the reference shape to overlay the obtained image with a parameter Θ being a measure of the amount of distortion required to effect the overlay. An uncertainty is quantified as a covariance matrix Σ and an energy function E=Eshape+Eimage is computed to obtain the probability of the current shape in the statistical shape model Eshape(Θ,Σ)=−log({circumflex over (ƒ)}H) and the fit in the image Eimage.

摘要翻译： 一种用于从具有该对象的患者的图像中分割感兴趣对象的方法。 多个训练形状中的每一个被扭曲以覆盖参考形状，其中参数是作为实现覆盖所需的失真量的量度。 通过成本函数的最小化以及所获得的参数矢量的每一个的不确定度的估计，对于训练形状的每一个获得参数Theta 的向量 这种不确定性被定量为协方差矩阵Σ。 使用具有平均值的平均值和协方差Sigma的内核的总和来生成表示为（f（t））（＆lt; 我 通过将参考形状定位在图像上并使参考形状变形以使得所获得的图像覆盖所获得的图像来识别患者图像中期望的对象，该参数是作为影响覆盖所需的失真量的量度的参数。 将不确定性量化为协方差矩阵，并且计算能量函数E = E + E图像以获得统计形状模型E中当前形状的概率 （Theta，Sigma）= - log（{（f）} H）和图像E图像中的拟合。