Method to Process Medical Image Data
    2.
    发明申请
    Method to Process Medical Image Data 有权
    医学图像数据处理方法

    公开(公告)号:US20130039549A1

    公开(公告)日:2013-02-14

    申请号:US13569380

    申请日:2012-08-08

    IPC分类号: G06K9/36

    摘要: A method to process medical image data has the following features. Immediately compressed raw data are acquired by an imaging medical technology apparatus. The compressed raw data are stored. In addition to the compressed raw data, processing data are stored which are provided to generate output data from the compressed raw data, wherein the file size of the compressed raw data and the processing data in total is less than the file size of the output data.

    摘要翻译: 处理医学图像数据的方法具有以下特征。 立即压缩的原始数据由成像医疗技术装置获取。 压缩的原始数据被存储。 除了压缩的原始数据之外,存储处理数据,其被提供以从压缩原始数据生成输出数据,其中压缩原始数据的文件大小和处理数据总共小于输出数据的文件大小 。

    Method to process medical image data
    3.
    发明授权
    Method to process medical image data 有权
    处理医学图像数据的方法

    公开(公告)号:US08879809B2

    公开(公告)日:2014-11-04

    申请号:US13569380

    申请日:2012-08-08

    摘要: A method to process medical image data has the following features. Immediately compressed raw data are acquired by an imaging medical technology apparatus. The compressed raw data are stored. In addition to the compressed raw data, processing data are stored which are provided to generate output data from the compressed raw data, wherein the file size of the compressed raw data and the processing data in total is less than the file size of the output data.

    摘要翻译: 处理医学图像数据的方法具有以下特征。 立即压缩的原始数据由成像医疗技术装置获取。 压缩的原始数据被存储。 除了压缩的原始数据之外,存储处理数据,其被提供以从压缩原始数据生成输出数据,其中压缩原始数据的文件大小和处理数据总共小于输出数据的文件大小 。

    IMAGE RECONSTRUCTION USING REDUNDANT HAAR WAVELETS
    5.
    发明申请
    IMAGE RECONSTRUCTION USING REDUNDANT HAAR WAVELETS 有权
    使用冗余HAAR波段的图像重建

    公开(公告)号:US20130121554A1

    公开(公告)日:2013-05-16

    申请号:US13616484

    申请日:2012-09-14

    IPC分类号: G06T11/00

    摘要: A method for image reconstruction includes receiving under-sampled k-space data, determining a data fidelity term of a first image of the under-sampled k-space data in view of a second image of the under-sampled k-space data, wherein a time component separated the first image and the second image, determining a spatial penalization on redundant Haar wavelet coefficients of the first image in view of the second image, and optimizing the first image according the data fidelity term and the spatial penalization, wherein the spatial penalization selectively penalizes temporal coefficients and an optimized image of the first image is output.

    摘要翻译: 一种用于图像重构的方法包括:接收未被采样的k空间数据,鉴于未被采样的k空间数据的第二图像,确定未被采样的k空间数据的第一图像的数据保真度项,其中 时间分量分离第一图像和第二图像,根据第二图像确定第一图像的冗余Haar小波系数的空间惩罚,以及根据数据保真度项和空间惩罚优化第一图像,其中空间 惩罚性选择性地惩罚时间系数,并且输出第一图像的优化图像。

    Practical image reconstruction for magnetic resonance imaging
    6.
    发明授权
    Practical image reconstruction for magnetic resonance imaging 有权
    磁共振成像的实用图像重建

    公开(公告)号:US07903858B2

    公开(公告)日:2011-03-08

    申请号:US11926912

    申请日:2007-10-29

    IPC分类号: G06K9/00 A61B5/05

    摘要: A set of image-space data is reconstructed from a set of k-space data. The set of image-space data is generated by minimizing a cost functional by an iterative non-linear conjugate gradient process. The iterative process may be accelerated by introducing k-space weighting to the cost functional. With proper choice of k-space weighting, a block-Toeplitz matrix is generated which permits use of Fast Fourier Transform techniques. An image is rendered from the set of image-space data.

    摘要翻译: 从一组k空间数据重建一组图像空间数据。 通过使迭代非线性共轭梯度过程的功能最小化来生成图像空间数据集合。 可以通过向成本函数引入k空间加权来加速迭代过程。 通过适当选择k空间加权,生成块Toeplitz矩阵,其允许使用快速傅里叶变换技术。 从图像空间数据集中呈现图像。

    GENERATION OF MOVING VASCULAR MODELS AND BLOOD FLOW ANALYSIS FROM MOVING VASCULAR MODELS AND PHASE CONTRAST MRI
    8.
    发明申请
    GENERATION OF MOVING VASCULAR MODELS AND BLOOD FLOW ANALYSIS FROM MOVING VASCULAR MODELS AND PHASE CONTRAST MRI 有权
    运动血管模型和血液流动分析从移动血管模型和相位对比MRI的生成

    公开(公告)号:US20110103665A1

    公开(公告)日:2011-05-05

    申请号:US12911829

    申请日:2010-10-26

    IPC分类号: G06K9/00

    摘要: A method of deriving blood flow parameters from a moving three-dimensional (3D) model of a blood vessel includes determining a reference vascular cross-sectional plane through a location of a lumen in a moving 3D model of the blood vessel at one time within the model, determining a plurality of target vascular cross-sectional planes at multiple times via temporal tracking of the reference plane based on a displacement field, determining a plurality of contours based on an intersection of the target vascular cross-sectional planes with the moving 3D vessel model at multiple times within the model, and determining a blood flow parameter of the vessel from intersections of each contour of a given one of the times with a phase contrast magnetic resonance (PC-MRI) image of the blood vessel from the corresponding time.

    摘要翻译: 从血管的移动三维(3D)模型导出血液流动参数的方法包括:确定在血管的运动3D模型中的管腔位置的参考血管横截面平面 模型,基于位移场,通过基准平面的时间跟踪多次确定多个目标血管横截面,基于目标血管横截面与移动3D血管的交点确定多个轮廓 模型,并且从给定时间的每个轮廓与相应时间的血管的相位对比磁共振(PC-MRI)图像的交点确定血管的血流参数。

    Method and System for Left Ventricle Detection in 2D Magnetic Resonance Images
    10.
    发明申请
    Method and System for Left Ventricle Detection in 2D Magnetic Resonance Images 有权
    二维磁共振图像左心室检测方法与系统

    公开(公告)号:US20100040272A1

    公开(公告)日:2010-02-18

    申请号:US12504047

    申请日:2009-07-16

    IPC分类号: G06K9/00 A61B5/055

    CPC分类号: G06K9/6202 G06K2209/051

    摘要: A method and system for left ventricle (LV) detection in 2D magnetic resonance imaging (MRI) images is disclosed. In order to detect the LV in a 2D MRI image, a plurality of LV candidates are detected, for example using marginal space learning (MSL) based detection. Candidates for distinctive anatomic landmarks associated with the LV are then detected in the 2D MRI image. In particular, apex candidates and base candidates are detected in the 2D MRI image. One of the LV candidates is selected as a final LV detection result using component-based voting based on the detected LV candidates, apex candidates, and base candidates.

    摘要翻译: 公开了一种用于2D磁共振成像(MRI)图像中左心室(LV)检测的方法和系统。 为了检测2D MRI图像中的LV,例如使用基于边缘空间学习(MSL)的检测来检测多个LV候选。 然后在2D MRI图像中检测与LV相关的特征性解剖学标记的候选者。 特别地,在2D MRI图像中检测到顶点候选和基础候选。 使用基于检测到的LV候选,顶点候选和基础候选的基于组件的投票,将LV候选中的一个选择为最终的LV检测结果。