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21. 发明申请

US20100121175A1 Automatic Femur Segmentation And Condyle Line Detection in 3D MR Scans For Alignment Of High Resolution MR 有权
标题翻译： 3D MR扫描中自动股骨分割和髁线检测用于高分辨率MR的对准
公开(公告)号：US20100121175A1
公开(公告)日：2010-05-13
申请号：US12426323
申请日：2009-04-20
申请人： Marie-Pierre Jolly , Christopher V. Alvino , Benjamin L. Odry , Jens Gühring
发明人： Marie-Pierre Jolly , Christopher V. Alvino , Benjamin L. Odry , Jens Gühring
IPC分类号： A61B5/05
CPC分类号： A61B5/055 , A61B5/4514 , A61B5/4528 , A61B6/466 , A61B6/5223 , G01R33/543 , G01R33/546 , G01R33/5608 , G06T7/12 , G06T7/143 , G06T2207/10088 , G06T2207/20076 , G06T2207/20081 , G06T2207/20084 , G06T2207/30008
摘要： A method for automatic femur segmentation and condyle line detection. The method includes: scanning a knee of a patient with medical imaging equipment to obtain 3D imaging data with such equipment; processing the obtained 3D imaging data in a digital processor to determine two lines tangent to the bottom of the knee condyles in an axial and a coronal plane; and automatically scanning the patient in the defined plane. The processing includes: determining an approximate location of the knee; using the determined the location to define a volume of interest; segmenting the femur in the defined volume of interest; and determining a bottom point on the femur portion on a right side and a left side of the segmented femur in an axial and a coronal slice to determine the two lines.
摘要翻译：一种自动股骨段分割和髁线检测的方法。该方法包括：使用医学成像设备扫描患者的膝盖，以使用这种设备获得3D成像数据; 在数字处理器中处理获得的3D成像数据以确定在轴向和冠状平面中与膝盖底部相切的两条线; 并在定义的平面中自动扫描患者。该处理包括：确定膝盖的大致位置; 使用确定的位置来定义感兴趣的体积; 在定义的感兴趣体积中分割股骨; 并且在轴向和冠状切片中确定分割股骨的右侧和左侧的股骨部分上的底点以确定两条线。

22. 发明授权

US06816607B2 System for modeling static and dynamic three dimensional anatomical structures by 3-D models 失效
标题翻译：三维模型静态和动态三维解剖结构建模系统
公开(公告)号：US06816607B2
公开(公告)日：2004-11-09
申请号：US09858368
申请日：2001-05-16
申请人： Thomas O'Donnell , Alok Gupta , Marie-Pierre Jolly
发明人： Thomas O'Donnell , Alok Gupta , Marie-Pierre Jolly
IPC分类号： G06K900
CPC分类号： G06T17/00 , G06T7/12 , G06T7/149 , G06T2207/10072 , G06T2207/20116 , G06T2207/30048 , G06T2210/41
摘要： The present invention relates to a system of modeling a three dimensional target object which is represented by a plurality of cross-sectional images in order to provide a representative corresponding three dimensional model. The invention selects an initial model from a plurality of available initial models. This selection involves identifying an initial model based on physical similarity to the target object and then superimposing an initial model upon the target object, for each of the plurality of cross-sectional images. A determination is then made of an intersection contour of the initial model and a cross-sectional image of the target object and the determined intersection contour is refined in order to more closely delineate the target object. By sub-sampling points which represent the refined determined intersection contour, the invention obtains a sub-sampled contour dataset. The initial model is then adjusted towards the sub-samples contour to obtain a representative three dimensional model of the target object.
摘要翻译：本发明涉及一种由多个横截面图像表示的三维目标对象的建模系统，以便提供代表性的对应的三维模型。本发明从多个可用的初始模型中选择初始模型。该选择包括基于与目标对象的物理相似性来识别初始模型，然后针对多个横截面图像中的每一个，将初始模型叠加在目标对象上。然后确定初始模型和目标对象的横截面图像的交点轮廓，并且对确定的交集轮廓进行细化以便更加紧密地描绘目标对象。通过对表示精确确定的交集轮廓的子采样点，本发明获得了子采样轮廓数据集。然后将初始模型调整到子样本轮廓以获得目标对象的代表性三维模型。

23. 发明授权

US06259802B1 Object tracking technique using polyline contours 失效
标题翻译：使用折线轮廓的对象跟踪技术
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。

24. 发明申请

US20130096414A1 LOCALIZATION OF AORTA AND LEFT ATRIUM FROM MAGNETIC RESONANCE IMAGING 有权
标题翻译：磁共振成像中的AORTA和LEFT ATRIUM的定位
公开(公告)号：US20130096414A1
公开(公告)日：2013-04-18
申请号：US13546101
申请日：2012-07-11
申请人： Xiaoguang Lu , Marie-Pierre Jolly
发明人： Xiaoguang Lu , Marie-Pierre Jolly
IPC分类号： A61B5/055
CPC分类号： A61B5/055 , A61B5/0044 , A61B5/7267 , A61B2576/023 , G01R33/483
摘要： The aorta and left atrium are localized from magnetic resonance data. The locations of the aorta and left atrium are detected jointly. The aorta and the left atrium are, at least in part, treated as one object. The detection may be from data representing a two-dimensional region. The two-dimensional region may be determined by first detecting the left ventricle from data representing a volume.
摘要翻译：主动脉和左心房由磁共振数据定位。联合检测主动脉和左心房的位置。主动脉和左心房至少部分被视为一个对象。检测可以来自表示二维区域的数据。可以通过首先从表示体积的数据检测左心室来确定二维区域。

25. 发明申请

US20130094725A1 Reproducible Segmentation of Elliptical Boundaries in Medical Imaging 有权
标题翻译：医学影像中椭圆边界的可重复分割
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。

26. 发明申请

US20120121154A1 Method and System for Propagation of Myocardial Infarction from Delayed Enhanced Cardiac Imaging to Cine Magnetic Resonance Imaging Using Hybrid Image Registration 有权
标题翻译：使用混合图像配准将心肌梗塞从延迟增强心脏成像传播到电磁共振成像的方法和系统
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。

27. 发明授权

US07680312B2 Method for knowledge based image segmentation using shape models 有权
标题翻译：使用形状模型的基于知识的图像分割方法
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。

28. 发明申请

US20090290777A1 AUTOMATIC LOCALIZATION OF THE LEFT VENTRICLE IN CARDIAC CINE MAGNETIC RESONANCE IMAGING 有权
标题翻译：心脏电磁共振成像中左心室的自动定位
公开(公告)号：US20090290777A1
公开(公告)日：2009-11-26
申请号：US12396534
申请日：2009-03-03
申请人： Ying Sun , Jens Guhring , Marie-Pierre Jolly , Carmel Hayes
发明人： Ying Sun , Jens Guhring , Marie-Pierre Jolly , Carmel Hayes
IPC分类号： G06K9/00 , A61B5/055
CPC分类号： G01R33/56325 , A61B5/055 , G01R33/4835 , G01R33/5608 , G06T7/0016 , G06T7/12 , G06T7/136 , G06T7/62 , G06T7/66 , G06T7/74 , G06T2207/10016 , G06T2207/10076 , G06T2207/10088 , G06T2207/20132 , G06T2207/30048
摘要： A method for automatically localizing left ventricle in medical image data includes acquiring a sequence of three-dimensional medical images spanning a cardiac cycle. Each of the images includes a plurality of two-dimensional image slices, one of which is defined as a template slice. The template slice of each medical image of the sequence is automatically cropped to include the heart and a margin around the heart based on temporal variations between pixels of the template slice throughout the sequence of medical images. The template slice of each medical image of the sequence is automatically contoured to determine the endo-cardial and epi-cardial boundaries for at least the end-diastolic and end-systolic phases. Localization information is generated for the left ventricle based on the determined endo-cardial and epi-cardial boundaries for at least the end-diastolic and end-systolic phases.
摘要翻译：用于在医学图像数据中自动定位左心室的方法包括获取跨越心动周期的三维医学图像序列。每个图像包括多个二维图像切片，其中之一被定义为模板切片。基于整个医学图像序列中的模板片段的像素之间的时间变化，自动裁剪序列的每个医学图像的模板切片以包括心脏和心脏周围的边缘。该序列的每个医学图像的模板切片被自动轮廓化，以确定至少舒张末期和收缩末期阶段的内心和外心边界。基于确定的至少舒张末期和收缩末期阶段的内心和外心边界为左心室产生定位信息。

29. 发明授权

US07536050B2 Using graph cuts for editing photographs 有权
标题翻译：使用图形剪辑来编辑照片
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。

30. 发明申请

US20070014457A1 Method for knowledge based image segmentation using shape models 有权
标题翻译：使用形状模型的基于知识的图像分割方法
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。

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