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基于改良诊断超声平台的混合自适应波束形成器实时被动空化绘图与 B 模式融合成像。

Real-time passive cavitation mapping and B-mode fusion imaging via hybrid adaptive beamformer with modified diagnostic ultrasound platform.

机构信息

Key Laboratory of Modern Acoustics (MOE), Department of Physics, Collaborative Innovation Center of Advanced Microstructure, Nanjing University, Nanjing 210093, China.

Zhuhai Ecare Electronics Science & Technology Co., Ltd., Zhuhai 519041, China.

出版信息

Ultrasonics. 2024 Aug;142:107375. doi: 10.1016/j.ultras.2024.107375. Epub 2024 Jun 7.

Abstract

The implementation of real-time, convenient and high-resolution passive cavitation imaging (PCM) is crucial for ensuring the safety and effectiveness of ultrasound applications related to cavitation effects. However, the current B-mode ultrasound imaging system cannot achieve these functions. By developing a hybrid adaptive beamforming algorithm, the current work presented a real-time PCM and B-mode fusion imaging technique, using a modified diagnostic ultrasound platform enabling time-division multiplexing external triggering function. The proposed hybrid adaptive beamformer combined the advantages of delay-multiply-and-sum (DMAS) and minimum variance (MV) methods to effectively suppress the side lobe and tail-like artifacts, improving the resolution of PCM images. A high-pass filter was applied to selectively detect cavitation-specific signals while removing the interference from the tissue scatters. The system enabled synchronous visualization of tissue structure and cavitation activity under ultrasound exposure. Both numerical and experimental studies demonstrated that, compared with DAS, MV-DAS and DMAS methods, the proposed MV-DMAS algorithm performed better in both axial and lateral resolutions. This work represented a significant advancement in achieving high-quality real-time B-mode and PCM fusion imaging utilizing commercial medical ultrasound system, providing a powerful tool for synchronous monitoring and manipulating cavitation activity, which would enhance the safety and efficacy of cavitation-based applications.

摘要

实现实时、便捷、高分辨率的被动式空化成像(PCM)对于确保与空化效应相关的超声应用的安全性和有效性至关重要。然而,目前的 B 型超声成像系统无法实现这些功能。本工作通过开发混合自适应波束形成算法,提出了一种实时 PCM 和 B 型融合成像技术,利用经过修改的诊断超声平台实现时分复用外部触发功能。所提出的混合自适应波束形成器结合了延迟乘法求和(DMAS)和最小方差(MV)方法的优点,有效抑制了旁瓣和长尾伪影,提高了 PCM 图像的分辨率。采用高通滤波器选择性地检测空化特异性信号,同时去除组织散射的干扰。该系统能够在超声照射下同步可视化组织结构和空化活动。数值和实验研究均表明,与 DAS、MV-DAS 和 DMAS 方法相比,所提出的 MV-DMAS 算法在轴向和侧向分辨率方面均表现出更好的性能。这项工作代表着利用商业医疗超声系统实现高质量实时 B 型和 PCM 融合成像的重大进展,为同步监测和控制空化活动提供了强大工具,从而提高基于空化的应用的安全性和有效性。

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