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    Contrast-invariant registration of cardiac and renal magnetic resonance perfusion images
    3.
    发明授权
    Contrast-invariant registration of cardiac and renal magnetic resonance perfusion images 有权
    心脏和肾脏磁共振灌注图像的对比不变记录

    公开(公告)号：US07734075B2

    公开(公告)日：2010-06-08

    申请号：US11078035

    申请日：2005-03-11

    申请人： Ying Sun ,  Marie-Pierre Jolly ,  Jose M. F. Moura

    发明人： Ying Sun ,  Marie-Pierre Jolly ,  Jose M. F. Moura

    IPC分类号： G06K9/00 ,  A61B5/05

    CPC分类号： A61B5/055

    摘要： A system and method are provided for contrast-invariant registration of images, the system including a processor, an imaging adapter or a communications adapter for receiving an image data sequence, a user interface adapter for selecting a reference frame from the image sequence or cropping a region of interest (ROI) from the reference frame, a tracking unit for tracking the ROI across the image sequence, and an estimation unit for segmenting the ROI in the reference frame or performing an affine registration for the ROI; and the method including receiving an image sequence, selecting a reference frame from the image sequence, cropping a region of interest (ROI) from the reference frame, tracking the ROI across the image sequence, segmenting the ROI in the reference frame, and performing an affine registration for the ROI.

    摘要翻译： 提供了用于对比度不变的图像配准的系统和方法，所述系统包括处理器，成像适配器或用于接收图像数据序列的通信适配器，用于从图像序列中选择参考帧的用户接口适配器或裁剪 来自参考帧的感兴趣区域（ROI），用于跟踪跨越图像序列的ROI的跟踪单元，以及用于在参考帧中分割ROI或对ROI执行仿射注册的估计单元; 并且所述方法包括接收图像序列，从所述图像序列中选择参考帧，从所述参考帧裁剪感兴趣区域（ROI），沿所述图像序列跟踪所述ROI，在所述参考帧中分割所述ROI，以及执行 ROI的仿射注册。

    AUTOMATIC LOCALIZATION OF THE LEFT VENTRICLE IN CARDIAC CINE MAGNETIC RESONANCE IMAGING
    4.
    发明申请
    AUTOMATIC LOCALIZATION OF THE LEFT VENTRICLE IN CARDIAC CINE MAGNETIC RESONANCE IMAGING 有权
    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。

    Method and System for Selecting the Number of Gaussian Modes for the Segmentation of Cardiac Magnetic Resonance (MR) Images
    5.
    发明申请
    Method and System for Selecting the Number of Gaussian Modes for the Segmentation of Cardiac Magnetic Resonance (MR) Images 有权
    用于选择心脏磁共振（MR）图像分割的高斯模式数的方法和系统

    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。

    Contrast-invariant registration of cardiac and renal magnetic resonance perfusion images
    6.
    发明申请
    Contrast-invariant registration of cardiac and renal magnetic resonance perfusion images 有权
    心脏和肾脏磁共振灌注图像的对比不变记录

    公开(公告)号：US20090240136A9

    公开(公告)日：2009-09-24

    申请号：US11078035

    申请日：2005-03-11

    申请人： Ying Sun ,  Marie-Pierre Jolly ,  Jose Moura

    发明人： Ying Sun ,  Marie-Pierre Jolly ,  Jose Moura

    IPC分类号： A61B5/05

    CPC分类号： A61B5/055

    摘要： A system and method are provided for contrast-invariant registration of images, the system including a processor, an imaging adapter or a communications adapter for receiving an image data sequence, a user interface adapter for selecting a reference frame from the image sequence or cropping a region of interest (ROI) from the reference frame, a tracking unit for tracking the ROI across the image sequence, and an estimation unit for segmenting the ROI in the reference frame or performing an affine registration for the ROI; and the method including receiving an image sequence, selecting a reference frame from the image sequence, cropping a region of interest (ROI) from the reference frame, tracking the ROI across the image sequence, segmenting the ROI in the reference frame, and performing an affine registration for the ROI.

    摘要翻译： 提供了用于对比度不变的图像配准的系统和方法，所述系统包括处理器，成像适配器或用于接收图像数据序列的通信适配器，用于从图像序列中选择参考帧的用户接口适配器或裁剪 来自参考帧的感兴趣区域（ROI），用于跟踪跨越图像序列的ROI的跟踪单元，以及用于在参考帧中分割ROI或对ROI执行仿射注册的估计单元; 并且所述方法包括接收图像序列，从所述图像序列中选择参考帧，从所述参考帧裁剪感兴趣区域（ROI），沿所述图像序列跟踪所述ROI，在所述参考帧中分割所述ROI，以及执行 ROI的仿射注册。

    Integrated registration of dynamic renal perfusion magnetic resonance images
    7.
    发明申请
    Integrated registration of dynamic renal perfusion magnetic resonance images 有权
    综合注册动态肾灌注磁共振图像

    公开(公告)号：US20050201601A1

    公开(公告)日：2005-09-15

    申请号：US11078037

    申请日：2005-03-11

    申请人： Ying Sun ,  Marie-Pierre Jolly ,  Jose Moura

    发明人： Ying Sun ,  Marie-Pierre Jolly ,  Jose Moura

    IPC分类号： A61B5/055 ,  G01R33/56 ,  G06K9/00 ,  G06K9/34 ,  G06T5/50 ,  G06T7/00 ,  G06T7/20

    CPC分类号： G06T7/20 ,  A61B6/469 ,  G06T7/30 ,  G06T2207/20132 ,  G06T2207/30084

    摘要： A system and method are provided for integrated registration of images, the system including a processor, a first registration portion for performing rough registration of an image, a first segmentation portion for performing segmentation of an object of interest in the image, a second registration portion for performing fine registration of the image, and a second segmentation portion for performing segmentation of structures of the object of interest in the image; and the method including receiving a sequence of images, selecting an image from the sequence, cropping a region of interest (ROI) from the selected image, performing rough registration of the cropped ROI, performing segmentation of an object of interest from the rough registered ROI, performing fine registration of the ROI, and performing segmentation of structures of the object of interest from the fine registered ROI.

    摘要翻译： 提供了一种用于图像的综合注册的系统和方法，该系统包括处理器，用于执行图像的粗略注册的第一注册部分，用于执行图像中的感兴趣对象的分割的第一分割部分，第二注册部分 用于执行图像的精细注册;以及第二分割部分，用于执行图像中感兴趣对象的结构的分割; 并且所述方法包括接收图像序列，从所述序列中选择图像，从所选择的图像裁剪感兴趣区域（ROI），执行裁剪的ROI的粗略注册，从粗略注册的ROI执行感兴趣对象的分割 ，执行ROI的精细登记，以及从精细注册的ROI中执行所关注对象的结构的分割。

    Automatic localization of the left ventricle in cardiac cine magnetic resonance imaging
    9.
    发明授权
    Automatic localization of the left ventricle in cardiac cine magnetic resonance imaging 有权
    自动定位左心室心电磁共振成像

    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。

    Method and system for selecting the number of gaussian modes for the segmentation of cardiac magnetic resonance (MR) images
    10.
    发明授权
    Method and system for selecting the number of gaussian modes for the segmentation of cardiac magnetic resonance (MR) images 有权
    用于选择用于分割心脏磁共振（MR）图像的高斯模式数量的方法和系统

    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。