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Synthetic Aperture Imaging Using High-Frequency Convex Array for Ophthalmic Ultrasound Applications

机译:用于眼科超声应用的高频凸阵的合成孔径成像

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摘要

High-frequency ultrasound (HFUS) imaging has emerged as an essential tool for pre-clinical studies and clinical applications such as ophthalmic and dermatologic imaging. HFUS imaging systems based on array transducers capable of dynamic receive focusing have considerably improved the image quality in terms of spatial resolution and signal-to-noise ratio (SNR) compared to those by the single-element transducer-based one. However, the array system still suffers from low spatial resolution and SNR in out-of-focus regions, resulting in a blurred image and a limited penetration depth. In this paper, we present synthetic aperture imaging with a virtual source (SA-VS) for an ophthalmic application using a high-frequency convex array transducer. The performances of the SA-VS were evaluated with phantom and ex vivo experiments in comparison with the conventional dynamic receive focusing method. Pre-beamformed radio-frequency (RF) data from phantoms and excised bovine eye were acquired using a custom-built 64-channel imaging system. In the phantom experiments, the SA-VS method showed improved lateral resolution (>10%) and sidelobe level (>4.4 dB) compared to those by the conventional method. The SNR was also improved, resulting in an increased penetration depth: 16 mm and 23 mm for the conventional and SA-VS methods, respectively. Ex vivo images with the SA-VS showed improved image quality at the entire depth and visualized structures that were obscured by noise in conventional imaging.
机译:高频超声(HFUS)成像已成为临床前研究和临床应用的重要工具,如眼科和皮肤病成像。基于能够动态接收聚焦的阵列换能器的HFU成像系统在空间分辨率和信噪比(SNR)与基于单元素换能器的那些相比,相比,在空间分辨率和信噪比(SNR)方面具有显着提高了图像质量。然而,阵列系统仍然存在低焦点区域的低空间分辨率和SNR,导致模糊图像和有限的穿透深度。在本文中,我们使用高频凸阵列换能器将合成孔径与虚拟源(SA-Vs)的孔径成像呈现。与传统的动态接收聚焦方法相比,用幽灵和离体实验评估SA-Vs的性能。使用定制的64通道成像系统获取来自偶像和切除的牛眼的预先形成的射频(RF)数据。在Phantom实验中,与通过常规方法相比,SA-VS方法显示出改善的横向分辨率(> 10%)和侧链水平(> 4.4dB)。 SNR也得到改善,导致普通和SA-VS方法的渗透深度增加:16mm和23mm。具有SA-VS的离体图像在整个深度和可视化结构中显示出改善的图像质量,这些结构在传统成像中被噪声模糊不清。

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