公开(公告)号：US20090290775A1

公开(公告)日：2009-11-26

申请号：US12393097

申请日：2009-02-26

申请人： Ying Sun ,  Marie-Pierre Jolly ,  Jens Gühring

发明人： Ying Sun ,  Marie-Pierre Jolly ,  Jens Gühring

IPC分类号： G06K9/00

CPC分类号： G06T7/143 ,  G06T7/11 ,  G06T7/136 ,  G06T2207/10088 ,  G06T2207/30048

摘要： A method for automatically selecting a number of Gaussian modes for segmentation of a cardiac magnetic resonance (MR) image, including: identifying a left ventricle (LV) in a cardiac MR image slice; quantifying the LV blood pool; obtaining a mask for the LV blood pool; generating a ring mask for a myocardium of the LV from the LV blood pool mask; fitting three Gaussian modes to a histogram of the image slice to obtain a corresponding homogeneity image for the myocardium; computing a quality of fitting (QOF) measure for the three Gaussian modes based on the corresponding homogeneity image; repeating the fitting and computing steps for four and five Gaussian modes; and selecting the homogeneity image of the number of Gaussian modes with the largest QOF measure as the homogeneity image for processing.

摘要翻译： 一种用于自动选择用于分割心脏磁共振（MR）图像的多个高斯模式的方法，包括：识别心脏MR图像切片中的左心室（LV）; 量化LV血液池; 获得LV血液的面罩; 从LV血液屏障中产生LV的心肌的环形掩模; 将三个高斯模式拟合到图像切片的直方图，以获得心肌的相应的均匀图像; 基于相应的均匀图像计算三种高斯模式的拟合质量（QOF）度量; 重复四种和五种高斯模式的拟合和计算步骤; 并选择具有最大QOF测量的高斯模式数量的均匀图像作为用于处理的均匀性图像。

公开(公告)号：US08358822B2

公开(公告)日：2013-01-22

申请号：US12393236

申请日：2009-02-26

申请人： Ying Sun ,  Jens Gühring ,  Peter Speier ,  Michaela Schmidt ,  Jordin D. Green ,  Christine H. Lorenz ,  Marie-Pierre Jolly

发明人： Ying Sun ,  Jens Gühring ,  Peter Speier ,  Michaela Schmidt ,  Jordin D. Green ,  Christine H. Lorenz ,  Marie-Pierre Jolly

IPC分类号： G06K9/00

CPC分类号： A61B5/055

摘要： A method for automatically determining a field of view for performing a subsequent medical imaging study includes acquiring one or more preliminary images. A body mask is generated by thresholding the preliminary images and identifying a largest connected component. A boundary mask is obtained from the boundary of the generated body mask. A rectangular bounding box is fit to the obtained boundary mask. The rectangular bounding box is used as a field of view for performing a subsequent medical imaging study.

摘要翻译： 用于自动确定用于执行后续医学成像研究的视野的方法包括获取一个或多个预备图像。 通过对初步图像进行阈值处理并识别最大的连接分量来生成身体掩模。 从生成的身体掩模的边界获得边界掩模。 矩形边框适合所获得的边界掩模。 矩形边界盒用作进行后续医学成像研究的视野。

公开(公告)号：US08218839B2

公开(公告)日：2012-07-10

申请号：US12396534

申请日：2009-03-03

申请人： Ying Sun ,  Jens Gühring ,  Marie-Pierre Jolly ,  Carmel Hayes

发明人： Ying Sun ,  Jens Gühring ,  Marie-Pierre Jolly ,  Carmel Hayes

IPC分类号： G06K9/00

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。

公开(公告)号：US08055051B2

公开(公告)日：2011-11-08

申请号：US12393097

申请日：2009-02-26

申请人： Ying Sun ,  Marie-Pierre Jolly ,  Jens Gühring

发明人： Ying Sun ,  Marie-Pierre Jolly ,  Jens Gühring

IPC分类号： G06K9/00

CPC分类号： G06T7/143 ,  G06T7/11 ,  G06T7/136 ,  G06T2207/10088 ,  G06T2207/30048

摘要： A method for automatically selecting a number of Gaussian modes for segmentation of a cardiac magnetic resonance (MR) image, including: identifying a left ventricle (LV) in a cardiac MR image slice; quantifying the LV blood pool; obtaining a mask for the LV blood pool; generating a ring mask for a myocardium of the LV from the LV blood pool mask; fitting three Gaussian modes to a histogram of the image slice to obtain a corresponding homogeneity image for the myocardium; computing a quality of fitting (QOF) measure for the three Gaussian modes based on the corresponding homogeneity image; repeating the fitting and computing steps for four and five Gaussian modes; and selecting the homogeneity image of the number of Gaussian modes with the largest QOF measure as the homogeneity image for processing.

摘要翻译： 一种用于自动选择用于分割心脏磁共振（MR）图像的多个高斯模式的方法，包括：识别心脏MR图像切片中的左心室（LV）; 量化LV血液池; 获得LV血液的面罩; 从LV血液屏障中产生LV的心肌的环形掩模; 将三个高斯模式拟合到图像切片的直方图，以获得心肌的相应的均匀图像; 基于相应的均匀图像计算三种高斯模式的拟合质量（QOF）度量; 重复四种和五种高斯模式的拟合和计算步骤; 并选择具有最大QOF测量的高斯模式数量的均匀图像作为用于处理的均匀性图像。

公开(公告)号：US20130259337A1

公开(公告)日：2013-10-03

申请号：US13246002

申请日：2011-09-27

申请人： Jens Gühring ,  Marie-Pierre Jolly ,  Christoph Guetter ,  Xiaoguang Lu ,  Carmel Hayes ,  Peter Speier ,  Davide Piccini

发明人： Jens Gühring ,  Marie-Pierre Jolly ,  Christoph Guetter ,  Xiaoguang Lu ,  Carmel Hayes ,  Peter Speier ,  Davide Piccini

IPC分类号： G06T7/60 ,  G06T7/00

CPC分类号： G06T7/602 ,  G06T7/0012 ,  G06T7/62 ,  G06T2200/04 ,  G06T2207/10076 ,  G06T2207/30048

摘要： A system receives cardiac cine MR images consists of multiple slices of the heart over time. A series of short axis images slices are received. Long axis images are also received by the system, wherein a base plane defined by landmark points is detected. An intersection of the base plane with a contour of a heart chamber is determined for a plurality of slices in the short axis image. A volume for each of the contour slices covering the heart chamber, including for contours that are limited by base plane intersections, is evaluated. All slice volumes are summed to determine a total volume of the chamber. In one embodiment the chamber is a left ventricle and the landmark is a mitral valve. An ejection factor is determined.

摘要翻译： 一个系统接收心脏电影MR图像由心脏的多个切片随时间组成。 接收一系列短轴图像切片。 长轴图像也由系统接收，其中检测由地标点定义的基本平面。 针对短轴图像中的多个切片确定基面与心室的轮廓的交点。 评估覆盖心室的每个轮廓切片的体积，包括对于由基面交点进行限制的轮廓。 将所有切片体积相加以确定腔室的总体积。 在一个实施例中，腔室是左心室，并且地标是二尖瓣。 确定射血因子。

公开(公告)号：US20120189183A1

公开(公告)日：2012-07-26

申请号：US13237198

申请日：2011-09-20

申请人： Hui Xue ,  Saurabh Shah ,  Jens Gühring ,  Andreas Greiser ,  Christophe Chefd'hotel ,  Christoph Guetter ,  Marie-Pierre Jolly ,  Sven Zuehlsdorff

发明人： Hui Xue ,  Saurabh Shah ,  Jens Gühring ,  Andreas Greiser ,  Christophe Chefd'hotel ,  Christoph Guetter ,  Marie-Pierre Jolly ,  Sven Zuehlsdorff

IPC分类号： G06K9/40 ,  G06K9/00

CPC分类号： G06T5/50 ,  G01R33/448 ,  G01R33/56509 ,  G06T7/30 ,  G06T2207/10088 ,  G06T2207/20201 ,  G06T2207/30048

摘要： A method for performing motion compensation in a series of magnetic resonance (MR) images includes acquiring a set of MR image frames spanning different points along an MR recovery curve. A motion-free synthetic image is generated for each of the acquired MR image frames using prior knowledge pertaining to an MR recovery curve. Each of the acquired MR images is registered to its corresponding generated synthetic images. Motion within each of the acquired MR image is corrected based on its corresponding generated synthetic image that has been registered thereto.

摘要翻译： 用于在一系列磁共振（MR）图像中执行运动补偿的方法包括获取沿着MR恢复曲线横跨不同点的一组MR图像帧。 使用与MR恢复曲线相关的先前知识，为每个所获取的MR图像帧生成无运动合成图像。 所获取的MR图像中的每一个被注册到其对应的生成的合成图像。 基于其对应的生成的已经被注册的合成图像来校正所获取的MR图像的每一个内的运动。

公开(公告)号：US20120177269A1

公开(公告)日：2012-07-12

申请号：US13234694

申请日：2011-09-16

申请人： Xiaoguang Lu ,  Jens Gühring ,  Hui Xue ,  Marie-Pierre Jolly ,  Christoph Guetter ,  Bogdan Georgescu ,  Sven Zuehlsdorff ,  Arne Littmann

发明人： Xiaoguang Lu ,  Jens Gühring ,  Hui Xue ,  Marie-Pierre Jolly ,  Christoph Guetter ,  Bogdan Georgescu ,  Sven Zuehlsdorff ,  Arne Littmann

IPC分类号： G06K9/00

CPC分类号： G06K9/4609 ,  G06K2209/051 ,  G06T7/11 ,  G06T7/143 ,  G06T7/194 ,  G06T2207/10088 ,  G06T2207/20164 ,  G06T2207/30048

摘要： A method including receiving an image sequence, wherein the image sequence includes a plurality of two-dimensional (2D) image frames of an organ arranged in a time sequence; constructing a three-dimensional (3D) volume by stacking a plurality of the 2D image frames in time order; detecting a best bounding box for a target of interest in the 3D volume, wherein the best bounding box is specified by a plurality of parameters including spatial and temporal information contained in the 3D volume; and determining the target of interest from the best bounding box.

摘要翻译： 一种包括接收图像序列的方法，其中所述图像序列包括以时间顺序排列的器官的多个二维（2D）图像帧; 通过以时间顺序堆叠多个2D图像帧来构造三维（3D）体积; 检测所述3D体积中感兴趣的目标的最佳边界框，其中所述最佳边界框由包括在所述3D体积中的空间和时间信息的多个参数指定; 并从最佳边界框确定感兴趣的目标。

公开(公告)号：US20120076380A1

公开(公告)日：2012-03-29

申请号：US13210497

申请日：2011-08-16

申请人： Jens Gühring ,  Marie-Pierre Jolly ,  Hui Xue

发明人： Jens Gühring ,  Marie-Pierre Jolly ,  Hui Xue

IPC分类号： G06K9/00

CPC分类号： G01R33/56316 ,  A61B5/0263 ,  A61B5/055 ,  G01R33/5608

摘要： A method for correcting the background phase in magnetic resonance phase contrast flow images includes providing a time series of velocity encoded magnetic resonance images of a patient, where the time series of velocity encoded images comprises for each time point a phase contrast image where a pixel intensity is proportional to a flow velocity, measuring a change of intensity for each pixel over the time series of phase contrast images, identifying pixels with a low measure of temporal change as stationary pixels, and calculating a correction field for the stationary pixels, where the correction field represents a background phase to be subtracted from the phase contrast image.

摘要翻译： 用于校正磁共振相位对比流图像中的背景相位的方法包括提供患者的速度编码的磁共振图像的时间序列，其中速度编码图像的时间序列包括每个时间点的像素强度 与流速成比例，测量在相位对比图像的时间序列上的每个像素的强度变化，将以时间变化的低度量度的像素识别为静止像素，以及计算用于静止像素的校正场，其中校正 场表示从相位差图像中减去的背景相位。

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。

公开(公告)号：US08805045B2

公开(公告)日：2014-08-12

申请号：US13248309

申请日：2011-09-29

申请人： Christoph Guetter ,  Jens Gühring ,  Marie-Pierre Jolly ,  Arne Littmann ,  Manuela Rick ,  Michaela Schmidt ,  Hui Xue

发明人： Christoph Guetter ,  Jens Gühring ,  Marie-Pierre Jolly ,  Arne Littmann ,  Manuela Rick ,  Michaela Schmidt ,  Hui Xue

IPC分类号： G06K9/00 ,  G06T7/00

CPC分类号： G06T7/0083 ,  G06T7/12 ,  G06T7/174 ,  G06T2207/10016 ,  G06T2207/10072 ,  G06T2207/10116 ,  G06T2207/20104 ,  G06T2207/30004

摘要： A method for identifying a region of interest within a time sequence of images includes acquiring a time sequence of images comprising a plurality of image frames. Image segmentation is performed to segment a region of interest (ROI) from within each of the plurality of image frames of the time sequence of images. Manual edits are received for the ROI within one or more of the plurality of image frames. The manual edits are propagated to other image frames of the plurality of images. An extent to which each of the manual edits are propagated to other image frames is dependent upon a transformation function or deformation field used to propagate the manual edits and a weighing factor that is influenced by a distance in time between the other image frames and the frames that have been manually edited.

摘要翻译： 用于识别图像的时间序列内的感兴趣区域的方法包括获取包括多个图像帧的图像的时间序列。 执行图像分割以从图像的时间序列的多个图像帧的每一个内分割感兴趣区域（ROI）。 对于多个图像帧中的一个或多个中的ROI，接收手动编辑。 手动编辑被传播到多个图像的其他图像帧。 每个手动编辑传播到其他图像帧的程度取决于用于传播手动编辑的变换函数或变形字段以及受其他图像帧和帧之间的时间距离的影响的称重因子 已经被手动编辑。