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A fast and high frame rate adaptive beamforming using DCT ‐based RF ‐line recovery in line‐by‐line ultrasound imaging
International Journal of Imaging Systems and Technology ( IF 3.3 ) Pub Date : 2020-05-21 , DOI: 10.1002/ima.22440
Sajjad Afrakhteh 1 , Hamid Behnam 1
Affiliation  

Ultrasound imaging is an important modality used in medical imaging. One of the significant stages in the ultrasound imaging is the beamforming process. This article proposes a new technique for reducing the overall computational time of adaptive linear ultrasound imaging. The method uses the discrete cosine transform‐based reconstruction for missing data imputation. The novelty of the paper is that we do not need to beam‐form the total scan lines, so the time of image construction can be saved significantly. In other words, a fraction of the total scan lines is selected for beamforming and the others are assumed to have values as Not‐a‐Number (NaN). The proposed reconstruction technique tries to assign appropriate values to the NaN ones. We applied the proposed method to the simulated and experimental radio frequency (RF) datasets for resolution and contrast evaluation. Results showed that the proposed technique is near to the minimum variance (MV) method in terms of resolution and contrast, and has less computational time for image formation compared to the MV. As some quantitative examples in some experiments we have formed only 50% and 33% of the total lines and reconstructed the rest, then we have been able to increase the frame rate twice and three times, respectively, which can be very useful in many applications, especially in echocardiography imaging. In addition, since the execution time of the reconstruction algorithm is not very significant, we were also able to increase the speed by two and three times while achieving an error of less than 10% compared to the case of using all image lines.

中文翻译:

在逐行超声成像中使用基于 DCT 的射频线恢复的快速和高帧率自适应波束形成

超声成像是医学成像中使用的一种重要方式。超声成像的重要阶段之一是波束形成过程。本文提出了一种减少自适应线性超声成像整体计算时间的新技术。该方法使用基于离散余弦变换的重建进行缺失数据插补。该论文的新颖之处在于我们不需要对总扫描线进行波束形成,因此可以显着节省图像构建时间。换句话说,总扫描线的一部分被选择用于波束成形,而其他扫描线被假定为具有非数字 (NaN) 的值。建议的重建技术尝试为 NaN 分配适当的值。我们将所提出的方法应用于模拟和实验射频 (RF) 数据集,以进行分辨率和对比度评估。结果表明,所提出的技术在分辨率和对比度方面接近最小方差(MV)方法,并且与 MV 相比,图像形成的计算时间更少。作为一些实验中的一些定量例子,我们只形成了总行数的 50% 和 33% 并重建了其余的行,然后我们能够分别将帧率提高 2 倍和 3 倍,这在许多应用中非常有用,尤其是在超声心动图成像方面。另外,由于重构算法的执行时间不是很重要,
更新日期:2020-05-21
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