论文标题
光声图像质量改进了单个细胞低频PMUT
Photoacoustic Image Quality Improvement from a Single Cell Low Frequency PMUT
论文作者
论文摘要
使用低频压电微机械超声传感器（PMUT）的光声图像（PAI）提高具有基本共振频率1 MHz的质量。具体而言，实现了三种不同的方法，例如平均框架，数学改进的算法和硬件位置准确的布置，以获得Unaralallel PAI的图像质量。在琼脂幻影和前病毒组织样品中都进行了验证研究。最大宽度（FWHM），信号与噪声比（SNR）和对比度（CR）的全宽形式的可测量图像量词用于评估图像质量的改善。发现FWHM增加了34％，SNR增加了23％，CR增加了25％，这表明该方法具有采用基于PMUT的检测器的更好的光声图像的功效。该研究表明，建议的改进方法可能在未来具有成本效益的PMUT-PAI系统中起关键作用。
Photoacoustic image (PAI) quality improvement using a low frequency piezoelectric micromachined ultrasound transducer (PMUT) having the fundamental resonant frequency 1 MHz is being reported. Specifically, three different methods are implemented such as the frame averaging, mathematically improved algorithms, and a hardware position accurate arrangement in order to obtain unparallel PAI image quality. Validation study has been conducted in both agar phantom and ex-vivo tissue samples. Measurable image quantifiers in the form of full width at half maximum (FWHM), signal to noise ratio (SNR), and contrast ratio (CR) are used to evaluate the improvement in the image quality. It is found that the FWHM increases by 34%, SNR by 23% and CR by 25%, suggesting the efficacy of the methods to achieve better photoacoustic images employing PMUT-based detector. The study demonstrates that the suggested methods of improvement could play a key role in a promising cost-effective PMUT-PAI system in future.
