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Optimizing frequency and pulse shape for ultrasound current source density imaging

机译:优化超声电流源密度成像的频率和脉冲形状

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Electric field mapping is commonly used to identify irregular conduction pathways in the heart (e.g., arrhythmia) and brain (e.g., epilepsy). A new technique, ultrasound current source density imaging (UCSDI) based on the acoustoelectric (AE) effect, provides an alternative method for current activity mapping in four-dimension with high resolution. The ultrasound transducer frequency and pulse shape significantly affect the sensitivity and spatial resolution of UCSDI. In this paper, we analyze the tradeoff between spatial resolution and sensitivity in UCSDI from two aspects: (1) ultrasound transducer frequency and (2) coded excitation pulses. For frequency dependence, we imaged an electric dipole using ultrasound transducers with different center frequencies (1 MHz and 2.25 MHz) and compared the sensitivity and resolution. For coded excitation, we measured AE signals with chirp excitation at 1 MHz and demonstrated improved sensitivity for chirps (3.5 µV/mA at 1 MHz) compared with square pulse excitation (1.6 µV/mA). Pulse compression was also applied to preserve spatial resolution, demonstrating enhanced detection while preserving spatial resolution.
机译:电场作图通常用于识别心脏(例如心律不齐)和大脑(例如癫痫)的不规则传导路径。一种新技术,基于声电(AE)效应的超声电流源密度成像(UCSDI),为高分辨率的四维电流活动映射提供了另一种方法。超声换能器的频率和脉冲形状会显着影响UCSDI的灵敏度和空间分辨率。在本文中,我们从两个方面分析了UCSDI中空间分辨率和灵敏度之间的权衡:(1)超声换能器频率和(2)编码激励脉冲。对于频率依赖性,我们使用具有不同中心频率(1 MHz和2.25 MHz)的超声换能器对电偶极子进行成像,并比较了灵敏度和分辨率。对于编码激励,我们以1 MHz的线性调频激励测量了AE信号,并证明了与方波脉冲激励(1.6 µV / mA)相比,线性调频的灵敏度提高了(1 MHz为3.5 µV / mA)。还应用了脉冲压缩来保留空间分辨率,这表明在保留空间分辨率的同时增强了检测能力。

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