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基于包络波束形成的多延迟求和算法在光声成像中的应用。

Multiple Delay and Sum With Enveloping Beamforming Algorithm for Photoacoustic Imaging.

出版信息

IEEE Trans Med Imaging. 2020 Jun;39(6):1812-1821. doi: 10.1109/TMI.2019.2958838. Epub 2019 Dec 10.

Abstract

Delay and Sum (DAS) is one of the most common beamforming algorithms for photoacoustic imaging (PAI) reconstruction. Based on calculating beamformed signal with simple delaying and summing, DAS can function in a quick response and is quite suitable for real-time PAI. However, high sidelobes and intense artifacts may appear when using DAS due to summing with unnecessary data. In this paper, a beamforming algorithm called Multiple Delay and Sum with Enveloping (multi-DASE) is introduced to solve this problem. Compared to DAS, the multi-DASE algorithm calculates not only the initial value of the beamformed signal but also the complete N-shaped photoacoustic signal for each pixel. Through computer simulation, a phantom experiment and experiment on human finger joint, the multi-DASE algorithm is compared with other beamforming methods in removing artifacts by evaluating the quality of the reconstructed images. Furthermore, by rearranging the calculation sequences, the multi-DASE algorithm can be computing in parallel using GPU acceleration to meet the needs of real-time clinical application.

摘要

延迟求和(DAS)是光声成像(PAI)重建中最常用的波束形成算法之一。基于简单的延迟求和来计算波束形成信号,DAS 可以快速响应,非常适合实时 PAI。然而,由于与不必要的数据求和,使用 DAS 时可能会出现高旁瓣和强烈的伪影。在本文中,引入了一种称为包络多延迟求和(multi-DASE)的波束形成算法来解决这个问题。与 DAS 相比,multi-DASE 算法不仅计算了波束形成信号的初始值,还计算了每个像素的完整 N 形光声信号。通过计算机模拟、体模实验和人手指关节实验,通过评估重建图像的质量,将 multi-DASE 算法与其他波束形成方法进行了比较,以去除伪影。此外,通过重新排列计算顺序,multi-DASE 算法可以使用 GPU 加速进行并行计算,以满足实时临床应用的需求。

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