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A novel trace algorithm based on sub area gravity centers for ultrasound deformation tissue image sequences

机译:一种基于超声变形组织图像序列子区域重力中心的新型轨迹算法

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In this paper, a novel trace algorithm for tissu movement for two dimensional ultrasound image sequences is proposed, each ROI (region of interest) of the preferred image is divided into 16 sub areas, each gravity center of each sub area is calculated in adjacent images, which is used to determine the new positions of the 16 sub ROIs in the next frame, and the traced tissue position can be determined using SAD algorithm, compared with the traditional block match trace algorithm, our method is efficient and stable, especially for the deformation tissue tracking.
机译:本文提出了一种用于二维超声图像序列的TUSSU运动的新型轨迹算法,优选图像的每个ROI(感兴趣区域)被分成16个子区域,在相邻图像中计算每个子区域的每个重力中心 ,用于确定下一个帧中的16子ROI的新位置,并且可以使用SAD算法确定跟踪组织位置,与传统的块匹配跟踪算法相比,我们的方法是有效且稳定的,特别是为 变形组织跟踪。

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