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Rationalized Gain Compensation for Ultrasound Imaging

机译:合理的超声成像增益补偿

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摘要

Most of the automatic time gain compensation used in ultrasound scanners introduces artifacts and weakens the edges due to over-gains especially in the anechoic regions.One more procedure has been added in this paper to the algorithm developed by Pye et al.by computing both the axial (along the scan line) and lateral gains to find out the anechoic regions.Then,a further process has been applied to the anechoic regions to reduce the artifacts.The extended algorithm has been tested using ultrasound phantom and in vivo images.The detection of anechoic regions is determined by two constraints with information from different size of processing windows along axial and lateral direction,respectively.One constraint detects the dark areas along the axial direction and the second one detects the lateral direction in order to remove the case of uniform area.By controlling the constraint parameters we can define different level of anechoic regions.Test results have shown that the extended algorithm has better contrast in different tissue types than the original one in images with anechoic regions.
机译:超声扫描仪中使用的大多数自动时间增益补偿都会引入伪影,并会因过度增益而削弱边缘,尤其是在无回声区中。沿轴向(沿着扫描线)和横向增益找出消声区域。然后,对消声区域进行了进一步处理以减少伪影。已使用超声体模和体内图像对扩展算法进行了测试。通过两个约束条件分别确定无回声区域的大小,该约束条件具有沿轴向和横向不同的处理窗口大小信息。一个约束条件检测沿轴向的暗区,第二个约束条件检测沿轴向的暗区,以消除出现均匀情况的情况。通过控制约束参数,我们可以定义不同级别的消声区域。测试结果表明,扩展算法在具有消声区域的图像中,m在不同组织类型上的对比度要比原始组织更好。

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