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    • 4. 发明申请
    • Systems and Methods for Computer Aided Analysis of Images
    • 图像计算机辅助分析系统与方法
    • US20120106823A1
    • 2012-05-03
    • US13348379
    • 2012-01-11
    • Prakash MaheshShuo LiDave RoederIan Ross
    • Prakash MaheshShuo LiDave RoederIan Ross
    • G06K9/34
    • G06K9/3233G06K2209/051G06T7/11G06T7/162G06T7/215G06T2207/10072G06T2207/30048
    • Certain embodiments of the present technology provide systems, methods and computer instructions for computer aided analysis of images. In certain embodiments, for example, such a method includes: isolating a motion area in an image; segmenting the image; utilizing a support vector machine to identify a region of interest in the image; utilizing a graph-cut algorithm to refine the region of interest; and verifying the region of interest. In certain embodiments, for example, such a method further includes: aligning a set of images and/or outputting a set of aligned images sequentially. In certain embodiments, the systems, methods and computer instructions disclosed herein can be used to aid analysis of cardiac images, for example. In certain embodiments, the systems, methods and computer instructions disclosed herein can be used to aid analysis of four dimensional images, for example.
    • 本技术的某些实施例提供了用于计算机辅助分析图像的系统,方法和计算机指令。 在某些实施例中,例如,这种方法包括:隔离图像中的运动区域; 分割图像; 利用支持向量机来识别图像中的感兴趣区域; 利用图形剪切算法来细化感兴趣的区域; 并验证感兴趣的区域。 在某些实施例中,例如,这种方法还包括:对齐一组图像和/或顺序地输出一组对准的图像。 在某些实施例中,本文公开的系统,方法和计算机指令可用于帮助例如心脏图像的分析。 在某些实施例中,本文公开的系统,方法和计算机指令可用于辅助例如四维图像的分析。
    • 7. 发明授权
    • Systems and methods for tracking images
    • 用于跟踪图像的系统和方法
    • US08144930B2
    • 2012-03-27
    • US12325226
    • 2008-11-30
    • Shuo LiIsmail Ben AyedIan RossRichard Rankin
    • Shuo LiIsmail Ben AyedIan RossRichard Rankin
    • G06K9/00
    • G06K9/4642G06T7/11G06T2207/20104G06T2207/30048
    • Image tracking as described herein can include: segmenting a first image into regions; determining an overlap of intensity distributions in the regions of the first image; and segmenting a second image into regions such that an overlap of intensity distributions in the regions of the second image is substantially similar to the overlap of intensity distributions in the regions of the first image. In certain embodiments, images can depict a heart at different points in time and the tracked regions can be the left ventricle cavity and the myocardium. In such embodiments, segmenting the second image can include generating first and second curves that track the endocardium and epicardium boundaries, and the curves can be generated by minimizing functions containing a coefficient based on the determined overlap of intensity distributions in the regions of the first image.
    • 如本文所述的图像跟踪可以包括:将第一图像分割成区域; 确定所述第一图像的区域中的强度分布的重叠; 以及将第二图像分割成区域,使得所述第二图像的区域中的强度分布的重叠基本上类似于所述第一图像的区域中的强度分布的重叠。 在某些实施例中,图像可以在不同的时间点描绘心脏,并且所跟踪的区域可以是左心室和心肌。 在这样的实施例中,分割第二图像可以包括产生跟踪心内膜和心外膜边界的第一曲线和第二曲线,并且可以通过基于所确定的第一图像的区域中的强度分布的重叠来最小化包含系数的函数来生成曲线 。