公开(公告)号：US08139838B2

公开(公告)日：2012-03-20

申请号：US12431888

申请日：2009-04-29

申请人： Ying Sun ,  Jens Gühring

发明人： Ying Sun ,  Jens Gühring

IPC分类号： G06K9/00

CPC分类号： G06K9/3233 ,  G06K9/342 ,  G06K9/6207 ,  G06K2209/051 ,  G06T7/12 ,  G06T7/149 ,  G06T2207/10076 ,  G06T2207/30048

摘要： A method for automatically generating a myocardial perfusion map from a sequence of magnetic resonance (MR) images includes determining a region of interest (ROI) in a reference frame selected from a time series of myocardial perfusion MR image slices, registering each image slice in the time series of slices to the reference frame to obtain a series of registered ROIs, and using the series of registered ROIs to segment endo- and epi-cardial boundaries of a myocardium in the ROI.

摘要翻译： 从磁共振（MR）图像序列自动生成心肌灌注图的方法包括确定选自心肌灌注MR图像切片的时间序列的参考帧中的感兴趣区域（ROI），将每个图像切片记录在 时间序列切片到参考帧以获得一系列注册的ROI，并且使用一系列注册的ROI来分割ROI中的心肌的内部和外部的边界。

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：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：US20090290778A1

公开(公告)日：2009-11-26

申请号：US12431888

申请日：2009-04-29

申请人： Ying Sun ,  Jens Gühring

发明人： Ying Sun ,  Jens Gühring

IPC分类号： G06K9/00

CPC分类号： G06K9/3233 ,  G06K9/342 ,  G06K9/6207 ,  G06K2209/051 ,  G06T7/12 ,  G06T7/149 ,  G06T2207/10076 ,  G06T2207/30048

摘要： A method for automatically generating a myocardial perfusion map from a sequence of magnetic resonance (MR) images includes determining a region of interest (ROI) in a reference frame selected from a time series of myocardial perfusion MR image slices, registering each image slice in the time series of slices to the reference frame to obtain a series of registered ROIs, and using the series of registered ROIs to segment endo- and epi-cardial boundaries of a myocardium in the ROI.

摘要翻译： 从磁共振（MR）图像序列自动生成心肌灌注图的方法包括确定选自心肌灌注MR图像切片的时间序列的参考帧中的感兴趣区域（ROI），将每个图像切片记录在 时间序列切片到参考帧以获得一系列注册的ROI，并且使用一系列注册的ROI来分割ROI中的心肌的内部和外部的边界。

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：US08170321B2

公开(公告)日：2012-05-01

申请号：US12431299

申请日：2009-04-28

申请人： Ying Sun ,  Gareth Funka-Lea ,  Ravi Kumar ,  Jens Gühring

发明人： Ying Sun ,  Gareth Funka-Lea ,  Ravi Kumar ,  Jens Gühring

IPC分类号： G06K9/78

CPC分类号： G06T7/251 ,  G06T7/12 ,  G06T7/246 ,  G06T2207/10096 ,  G06T2207/30048 ,  G06T2207/30104

摘要： A method for tracking a contour in cardiac phase contrast flow magnetic resonance (MR) images includes estimating a global translation of a contour in a reference image in a time sequence of cardiac phase contrast flow MR images to a contour in a current image in the time sequence of images by finding a 2-dimensional translation vector that maximizes a similarity function of the contour in the reference image and the current image calculated over a bounding rectangle containing the contour in the reference image, estimating an affine transformation of the contour in the reference image to the contour in the current image, and performing a constrained local deformation of the contour in the current image.

摘要翻译： 用于跟踪心脏相位对比流磁共振（MR）图像中的轮廓的方法包括：将心脏相位对比流MR图像的时间序列中的参考图像中的轮廓的全局平移估计为当前图像中的轮廓 通过找到使参考图像中的轮廓的相似度函数最大化的二维平移向量和在包含参考图像中的轮廓的包围矩形上计算的当前图像的图像序列，估计参考图中轮廓的仿射变换 图像到当前图像中的轮廓，并且在当前图像中执行轮廓的约束局部变形。

公开(公告)号：US20090324012A1

公开(公告)日：2009-12-31

申请号：US12431299

申请日：2009-04-28

申请人： Ying Sun ,  Gareth Funka-Lea ,  Ravi Kumar ,  Jens Gühring

发明人： Ying Sun ,  Gareth Funka-Lea ,  Ravi Kumar ,  Jens Gühring

IPC分类号： G06T7/00 ,  G06T7/20

CPC分类号： G06T7/251 ,  G06T7/12 ,  G06T7/246 ,  G06T2207/10096 ,  G06T2207/30048 ,  G06T2207/30104

摘要： A method for tracking a contour in cardiac phase contrast flow magnetic resonance (MR) images includes estimating a global translation of a contour in a reference image in a time sequence of cardiac phase contrast flow MR images to a contour in a current image in the time sequence of images by finding a 2-dimensional translation vector that maximizes a similarity function of the contour in the reference image and the current image calculated over a bounding rectangle containing the contour in the reference image, estimating an affine transformation of the contour in the reference image to the contour in the current image, and performing a constrained local deformation of the contour in the current image.

摘要翻译： 用于跟踪心脏相位对比流磁共振（MR）图像中的轮廓的方法包括：将心脏相位对比流MR图像的时间序列中的参考图像中的轮廓的全局平移估计为当前图像中的轮廓 通过找到使参考图像中的轮廓的相似度函数最大化的二维平移向量和在包含参考图像中的轮廓的包围矩形上计算的当前图像的图像序列，估计参考图中轮廓的仿射变换 图像到当前图像中的轮廓，并且在当前图像中执行轮廓的约束局部变形。

公开(公告)号：US08879852B2

公开(公告)日：2014-11-04

申请号：US13284143

申请日：2011-10-28

申请人： Ti-chiun Chang ,  Mariappan S. Nadar ,  Jens Gühring ,  Michael Zenge ,  Kai Tobias Block ,  Peter Schmitt ,  Edgar Mueller

发明人： Ti-chiun Chang ,  Mariappan S. Nadar ,  Jens Gühring ,  Michael Zenge ,  Kai Tobias Block ,  Peter Schmitt ,  Edgar Mueller

IPC分类号： G06K9/00 ,  G01R33/561 ,  A61B5/055 ,  G06T11/00 ,  G01R33/563 ,  G01R33/565

CPC分类号： G06T11/003 ,  A61B5/055 ,  G01R33/561 ,  G01R33/5635 ,  G01R33/56545

摘要： A reconstructed image is rendered of a patient by a processor from a set of undersampled MRI data by first subtracting two repetitions of the acquired data in k-space to create a third dataset. The processor reconstructs the image by minimizing an objective function under a constraint related to the third dataset, wherein the objective function includes applying a Karhunen-Loeve Transform (KLT) to a temporal dimension of data. The objective function under the constraint is expressed as arg minf{∥φ(f)∥1 subject to ∥Af−y∥2≦ε}. The reconstructed image is an angiogram which may be a 4D angiogram. The angiogram is used to diagnose a vascular disease.

摘要翻译： 通过首先在k空间中减去所获取的数据的两次重复以创建第三数据集，由处理器从一组欠采样的MRI数据中呈现患者的重建图像。 处理器通过在与第三数据集相关的约束下最小化目标函数来重建图像，其中目标函数包括将Karhunen-Loeve变换（KLT）应用于数据的时间维度。 约束下的目标函数表示为arg minf {∥＆phgr;（f）‖1，受‖Af-y‖2＆nlE;＆egr;}的限制。 重建的图像是可以是4D血管造影的血管造影。 血管造影用于诊断血管疾病。

公开(公告)号：US08218848B2

公开(公告)日：2012-07-10

申请号：US12506333

申请日：2009-07-21

申请人： Christophe Lenglet ,  Christophe Chefd'hotel ,  Bernhard Geiger ,  Tina Ehtiati ,  Jens Gühring

发明人： Christophe Lenglet ,  Christophe Chefd'hotel ,  Bernhard Geiger ,  Tina Ehtiati ,  Jens Gühring

IPC分类号： G06K9/00

CPC分类号： G06K9/342 ,  G06K2209/051 ,  G06T7/11 ,  G06T7/149 ,  G06T2207/10088 ,  G06T2207/30004

摘要： A method for generating a positron emission tomography (PET) attenuation correction map from magnetic resonance (MR) images includes segmenting a 3-dimensional (3D) magnetic resonance (MR) whole-body image of a patient into low-signal regions, fat regions, and soft tissue regions; classifying the low-signal regions as either lungs, bones, or air by identifying lungs, identifying an abdominal station, and identifying a lower body station; and generating an attenuation map from the segmentation result by replacing the segmentation labels with corresponding representative attenuation coefficients.

摘要翻译： 用于从磁共振（MR）图像生成正电子发射断层摄影（PET）衰减校正图的方法包括将患者的三维（3D）磁共振（MR）全身图像分为低信号区域，脂肪区域 和软组织区域; 通过识别肺，识别腹部站和识别下半身站将低信号区域分类为肺，骨骼或空气; 以及通过用对应的代表衰减系数代替分割标签，从分割结果生成衰减图。