超声图像的自动三维表面提取

X. Hao, Shangkai Gao, Xiaorong Gao, Y. Xin, Tanghui Zhang
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引用次数: 0

摘要

提出了一种超声图像三维表面自动提取方法。在该技术中,沿着三维网格数据的一个轴获得图像序列。基于目标的空间连续性,采用一种新颖的基于多边形的跟踪(PT)方法确定每帧的感兴趣区域(ROI)。然后利用区域生长技术自动提取感兴趣区域的边缘,该区域生长技术的特征向量由像素值和局部熵线性构造。最后,通过对二维图像序列中的边缘进行重组,形成三维曲面。对气泡超声图像的实验表明,该方法能够成功地检测出三维表面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An automatic 3D surface extraction in ultrasonic images
Presents an automatic 3D surface extraction method for ultrasonic images. In this technique, an image sequence is obtained along one axis of the 3D grid data. Based on the space continuity of the object, the region of interest (ROI) in each frame is determined by using a novel Polygon-based Tracking (PT) method. The edge in the ROI is then automatically extracted by the region growing technique, whose character vector is linearly constructed by the pixel value and the local entropy. Finally, the 3D surface is formed by recombination of the edges in a 2D image sequence. Experiments on water bubble ultrasonic images show that the new method is successful in detection of 3D surfaces.
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