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Streak artifact reduction for blind deconvolution of multi-beam image

机译:减少条纹伪影以实现多光束图像的盲反卷积

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In ultrasound imaging, blind deconvolution technique is used to enhance image resolution. However, it causes vertical streak artifact. In this paper, scanline grouping method for reducing streak artifact is proposed, based on the assumption that the vertical streak artifact is due to the difference of the scanline characteristics. The input scanlines with similar characteristics are grouped together, and then blind deconvolution is performed separately for each group. For performance evaluation, we used 75 in-vivo abdomen cases of 2 multi-beam and 36 in-vivo thyroid cases of RF interpolation images obtained with convex and linear probes. When evaluated by correlation between neighboring scanlines, the proposed method was able to reduce streak artifact, as correlation value was approximately 10% higher than the conventional method. In addition, processing time of the proposed method was approximately 5 times faster than the conventional method. The proposed scanline grouping method is expected to work effectively with other adaptive or iterative signal processing techniques, such as 2D or lateral direction filters.
机译:在超声成像中,盲解卷积技术用于增强图像分辨率。但是,这会导致垂直条纹伪影。本文基于垂直条纹伪影是由于扫描线特性的差异而提出的假设,提出了一种减少条纹伪影的扫描线分组方法。具有相似特性的输入扫描线被分组在一起,然后针对每个组分别执行盲反卷积。为了进行性能评估,我们使用了由凸形和线性探头获得的RF插值图像的75例2个多波束的体内腹部病例和36例在甲状腺的甲状腺病例。当通过相邻扫描线之间的相关性评估时,由于相关值比传统方法高约10%,因此该方法能够减少条纹伪影。另外,所提出的方法的处理时间比传统方法快大约5倍。预期所提出的扫描线分组方法可与其他自适应或迭代信号处理技术(例如2D或横向滤波器)一起有效地工作。

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