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    • 14. 发明申请
    • Systems and methods for tracking images
    • 用于跟踪图像的系统和方法
    • US20100135529A1
    • 2010-06-03
    • 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,使得第二图像的区域中的强度分布的重叠基本类似于第一图像的区域中的强度分布的重叠 图片。 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 。
    • 16. 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 。