Paridar Roya, Asl Babak Mohammadzadeh
Department of Biomedical Engineering, Tarbiat Modares University, Tehran, Iran.
Department of Biomedical Engineering, Tarbiat Modares University, Tehran, Iran.
Ultrasonics. 2023 Dec;135:107136. doi: 10.1016/j.ultras.2023.107136. Epub 2023 Aug 19.
Coherent plane wave compounding (CPWC), as an ultrafast ultrasound imaging technique, makes a significant breakthrough in frame rate enhancement. However, there exists a compromise between the quality of the final image and the frame rate in CPWC. In this paper, we propose an efficient method to minimize the number of required emissions, and consequently, improve the frame rate, while maintaining the image quality. To this end, we down-sample the angle interval using two specific sampling factors. More precisely, we construct two different subsets, each of which consists of a few numbers of emissions. The optimal values of the angle intervals are achieved based on the beampattern that corresponds to the reference case (that is, the case where all plane waves are used). Finally, in order to keep the image quality comparable with the reference case, we apply some modifications to the image reconstruction procedure. In the proposed algorithm, the Delay-and-Sum beamformed images of two considered subsets are convolved to achieve the final reconstructed image. The obtained results confirm the efficiency of the proposed method in terms of frame rate improvement compared to the reference case. In particular, by using the proposed method, the required emissions in PICMUS data reduce to 16, which is 4.6 times smaller compared to the reference case. Also, the gCNR values of the proposed method and the reference case are obtained as 0.98 and 0.97, respectively, for in-vivo dataset. This demonstrates that the proposed method successfully preserves the quality of the reconstructed image by using much fewer emissions.
相干平面波合成(CPWC)作为一种超快超声成像技术,在提高帧率方面取得了重大突破。然而,在CPWC中,最终图像质量和帧率之间存在折衷。在本文中,我们提出了一种有效的方法来最小化所需的发射次数,从而在保持图像质量的同时提高帧率。为此,我们使用两个特定的采样因子对角度间隔进行下采样。更确切地说,我们构建两个不同的子集,每个子集由少量发射组成。基于与参考情况(即使用所有平面波的情况)对应的波束图来获得角度间隔的最佳值。最后,为了使图像质量与参考情况相当,我们对图像重建过程进行了一些修改。在所提出的算法中,将两个考虑子集中的延迟求和波束形成图像进行卷积以获得最终重建图像。获得的结果证实了所提出方法在提高帧率方面相对于参考情况的效率。特别是,通过使用所提出的方法,PICMUS数据中所需的发射次数减少到16次,与参考情况相比小4.6倍。此外,对于体内数据集,所提出方法和参考情况的gCNR值分别为0.98和0.97。这表明所提出的方法通过使用少得多的发射成功地保持了重建图像的质量。