Image improvement in linear-array photoacoustic imaging using high resolution coherence factor weighting technique.

BMC biomedical engineering Pub Date : 2019-04-05 eCollection Date: 2019-01-01 DOI:10.1186/s42490-019-0009-9

Moein Mozaffarzadeh, Bahador Makkiabadi, Maryam Basij, Mohammad Mehrmohammadi

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引用次数: 21

Abstract

Background: In Photoacoustic imaging (PAI), the most prevalent beamforming algorithm is delay-and-sum (DAS) due to its simple implementation. However, it results in a low quality image affected by the high level of sidelobes. Coherence factor (CF) can be used to address the sidelobes in the reconstructed images by DAS, but the resolution improvement is not good enough, compared to the high resolution beamformers such as minimum variance (MV). In this paper, it is proposed to use high-resolution-CF (HRCF) weighting technique in which MV is used instead of the existing DAS in the formula of the conventional CF.

Results: The higher performance of HRCF is proved numerically and experimentally. The quantitative results obtained with the simulations show that at the depth of 40 mm, in comparison with DAS+CF and MV+CF, HRCF improves the full-width-half-maximum of about 91% and 15% and the signal-to-noise ratio about 40% and 14%, respectively.

Conclusion: Proposed method provides a high resolution along with a low level of sidelobes for PAI.

Abstract Image

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利用高分辨率相干因子加权技术对线阵光声成像进行图像改进。

背景:在光声成像(PAI)中，最流行的波束形成算法是延迟和算法(DAS)，因为它实现简单。然而，它会导致高水平的副瓣影响低质量的图像。相干因子(CF)可以用来处理DAS重建图像中的副瓣，但与最小方差(MV)等高分辨率波束形成器相比，其分辨率提高不够好。本文提出采用高分辨率cf (high-resolution-CF, HRCF)加权技术，用MV代替传统cf公式中现有的DAS。结果:数值和实验证明了HRCF具有更高的性能。仿真得到的定量结果表明，在40 mm深度，HRCF比DAS+CF和MV+CF分别提高了91%和15%的全宽半最大值，信噪比分别提高了40%和14%。结论:该方法具有高分辨率和低副瓣水平。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

BMC biomedical engineering

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审稿时长

19 weeks