Spatial resolution in conventional sonography is achieved through focusing and steering of an ultrasound beam. However, due to acoustic diffraction, the ability to focus an ultrasound beam is limited which leads to low spatial and contrast resolutions. We aim to propose a new method wherein the array elements are simultaneously excited with signals coded with random sequences, which yields an unfocused ultrasound wavefront of random interference. When such a wavefront propagates through the medium, its energy reflects back from the tissue, causing individual scatterers to have unique impulse responses. In such a case, we can reconstruct high-resolution ultrasound images using a priori measurements of spatial impulse responses and the ${l}_{1}$ -norm minimization algorithm. In a simulation study, we achieved a spatial resolution of 0.25 mm, which constitutes a four-fold improvement over conventional methods that use delay-and-sum beamforming. In the experimental study, we demonstrate the accuracy of the proposed interference-based method using a tissue-mimicking phantom with 0.1- and 0.08-mm-diameter nylon wires.

中文翻译：

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使用随机干扰的高分辨率超声成像。

传统超声检查中的空间分辨率是通过聚焦和控制超声波束来实现的。然而，由于声衍射，聚焦超声波束的能力受到限制，这导致较低的空间和对比度分辨率。我们旨在提出一种新方法，其中用随机序列编码的信号同时激发阵列元素，从而产生随机聚焦的未聚焦超声波阵面。当这种波前传播通过介质时，其能量会从组织反射回来，从而导致各个散射体具有独特的脉冲响应。在这种情况下，我们可以使用以下方法重建高分辨率超声图像先验 测量空间冲激响应和 $ {l} _ {1} $ -范数最小化算法。在模拟研究中，我们获得了0.25 mm的空间分辨率，这比使用延迟和求和波束成形的常规方法提高了四倍。在实验研究中，我们用直径为0.1和0.08毫米的尼龙线作为组织模仿模型，证明了所提出的基于干扰的方法的准确性。