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首页> 外文期刊>IEEE Transactions on Medical Imaging >A Novel 2-D Synthetic Aperture Focusing Technique for Acoustic-Resolution Photoacoustic Microscopy
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A Novel 2-D Synthetic Aperture Focusing Technique for Acoustic-Resolution Photoacoustic Microscopy

机译：用于声分辨光声显微镜的新型二维合成孔径聚焦技术

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摘要

Acoustic-resolution photoacoustic microscopy (AR-PAM) is a promising technology for vascular or tumor-targeted molecular imaging. Unique advantages of AR-PM are its non-invasive, non-ionizing real-time, and deeper imaging depth. AR-PAM typically uses an ultrasound transducer with a high acoustic numerical aperture (NA) to enable deeper imaging depth. While high NA achieves good lateral resolution in the focal plane but significantly degrades the lateral resolution in the out-of-focus region. Synthetic aperture focusing technique (SAFT) has been introduced to overcome this out-of-focus degradation by synthesizing the correlated signals. Several 2-D SAFTs have been also reported to improve degraded resolution in all directions. However, the resolution enhancement of the previously reported 2-D SAFTs are suboptimal and are not equivalent to the 1-D SAFT performance under an ideal condition with the sample orientation perpendicular to the synthetic aperture direction. In this paper, we present a new 2-D SAFT called 2-D directional SAFT that improves the lateral resolution significantly and we compare our results against 1-D SAFT under ideal condition. We applied this algorithm to phantom andin vivoimages to show the improvement in image quality. We also implement this algorithm in a graphical processing unit to achieve high performance to show the practicality of implementing this new algorithm in a system.
机译：声分辨率光声显微镜（AR-PAM）是用于血管或肿瘤靶向分子成像的有前途的技术。 AR-PM的独特优势是其非侵入性，非电离实时性和更深的成像深度。 AR-PAM通常使用具有高声数值孔径（NA）的超声换能器以实现更深的成像深度。高NA会在焦平面上获得良好的横向分辨率，但会大大降低离焦区域内的横向分辨率。已引入合成孔径聚焦技术（SAFT）以通过合成相关信号来克服这种离焦性能下降的问题。还报道了几种2-D SAFT，可以改善各个方向的分辨率降低。但是，先前报告的2-D SAFT的分辨率增强不是最佳的，并且在理想条件下且样品方向垂直于合成孔径方向时，不等同于1-D SAFT性能。在本文中，我们提出了一种称为2-D定向SAFT的新型2-D SAFT，该方法可显着提高横向分辨率，并且在理想条件下将我们的结果与1-D SAFT进行了比较。我们将此算法应用于幻像和 n <斜体xmlns：mml = “ http：//www.w3.org/1998/Math/MathML ” xmlns：xlink = “ http://www.w3.org/ 1999 / xlink “>体内 n图像以显示图像质量的改善。我们还在图形处理单元中实现了该算法，以实现高性能，以展示在系统中实现该新算法的实用性。

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