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Improvement of Delay and Sum beamforming photoacoustic imaging based on delay-multiply-sum-to-standard-deviation-factor

机译:基于延迟乘法和标准偏差因子的延迟和总和波束形成光声成像的改进

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Delay and Sum (DAS) is one of the most prevalent and common beamforming algorithms used in ultrasound and photoacoustic image (PAI) reconstruction. This beamforming algorithm is mostly used due to its simple implementation and real time capability. However, it has several drawbacks such as high level side lobes, low image resolution and poor contrast. To address these issues, a new adaptive weighting factor has been proposed in this paper, named delay-multiply-sum-to-standard-deviation-factor (DMSSF). It improves all kinds of drawback like, lateral resolution, signal to noise ratio (SNR), and reduces side lobes of the reconstructed image compare to the other conventional methods like DAS, DAS+CF. The proposed weighting technique leads to get narrower main lobe and make the target much more detectable with respect to background. This novel method contributes significantly to the improvement of linear array based clinical photoacoustic imaging and expands the horizon of DAS image reconstruction and its potentiality.
机译:延迟和总和(DAS)是超声波和光声图像(PAI)重建中使用的最普遍和共同的波束形成算法之一。由于其简单的实现和实时能力,主要使用该波束形成算法。然而,它具有几个缺点,例如高级侧瓣,低图像分辨率和差的对比度。为了解决这些问题,本文提出了一种新的自适应加权因子,命名为延迟乘法 - 标准偏差因子(DMSSF)。它改善了各种缺点,横向分辨率,信号到噪声比(SNR),并减少与DAS,DAS + CF等其他传统方法相比的重建图像的侧瓣。所提出的加权技术导致较窄的主叶片,使目标相对于背景更为可检测。这种新方法对基于线性阵列的临床光声成像的改进有贡献,扩大了DAS图像重建及其潜力的地平线。

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