IEEE Trans Biomed Eng. 2021 Oct;68(10):2948-2956. doi: 10.1109/TBME.2021.3056715. Epub 2021 Sep 20.
With the growth of interest in different medical study on biological function, non-invasive photoacoustic imaging of biological tissue attracts the interests for researchers. To eliminate the limited angle effect of photoacoustic imaging based on ultrasound linear array, spatially distributed ultrasound sensor array is applied. The accurate sensor array position determines the quality of the imaging results. In this study, we proposed three methods based on photoacoustic and ultrasound signals to enhance the imaging quality using a 256-element full-ring array.
Groups of photoacoustic and ultrasound signals are used to regress the position of each element sensor.
In phantom study and mouse brain study, photoacoustic imaging results can both yield details clearly with average error rate of less than 1% (50 [Formula: see text]).
The performance of our three methods have proved that they can be potentially applied to other ultrasound-based medical imaging studies with unknown distributed positions of sensor array to enhance the imaging quality.
The proposed methods can contribute to precise biomedical imaging with unknown distributed positions of sensor array in different application scenarios.
随着人们对生物功能不同医学研究兴趣的增长，生物组织的非侵入性光声成象引起了研究人员的兴趣。为了消除基于超声线阵的光声成象的有限角度效应，应用了空间分布的超声传感器阵列。准确的传感器阵列位置决定了成象结果的质量。在这项研究中，我们提出了三种基于光声和超声信号的方法，使用 256 元全环阵来提高成象质量。
使用多组光声和超声信号回归每个元素传感器的位置。
在体模研究和小鼠大脑研究中，光声成象结果都能清晰地显示细节，平均误差率低于 1%（50[公式：见正文]）。
我们的三种方法的性能证明，它们可潜在地应用于其他基于超声的医学成象研究中，以提高成象质量，这些研究中传感器阵列的位置是未知的。
在不同应用场景中，所提出的方法可以有助于精确的生物医学成象，这些应用场景中传感器阵列的位置是未知的。
