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基于声分辨率的光声内窥中改进侧向分辨率的修正后向投影方法。

Modified back-projection method in acoustic resolution-based photoacoustic endoscopy for improved lateral resolution.

机构信息

Department of Biomedical Engineering, College of Biology, Hunan University, Changsha, Hunan, 410082, China.

Department of Biomedical Engineering, School of Basic Medical Science, Central South University, Changsha, Hunan, 410083, China.

出版信息

Med Phys. 2018 Oct;45(10):4430-4438. doi: 10.1002/mp.13129. Epub 2018 Sep 18.

Abstract

PURPOSE

Acoustic resolution photoacoustic endoscopy (ARPAE) is an emerging tool for gastrointestinal tract and esophagus imaging. However, high resolution over large depth of field in ARPAE is still a challenge to be addressed due to the usage of fixed-focus transducers.

METHODS

To solve this problem, a modified back-projection reconstruction algorithm is proposed in this work, which was demonstrated in two dimensions (2D). By employing data from multiple transducer positions and at the meantime considering the geometry of the transducer detection surface, this method offers a significantly improved lateral resolution throughout the imaging depth. The proposed method was evaluated with extensive numerical simulations and phantom experiments.

RESULTS

Numerical simulations showed that the depth of focus (DOF) is greatly improved with our proposed method. Results also indicated that the improvement of the lateral resolution is more notable when the transducer has larger numerical aperture (NA) and higher central frequency, and the transducer focus is placed further from the rotation center. Experimental data further indicate there is a 30% to 40% improvement in the lateral resolution of targets in the out-of-focus region with our proposed new method.

CONCLUSION

This work can readily be employed in most current ARPAE systems to improve the obtained image quality, and may promote the advancement of ARPAE toward clinical applications.

摘要

目的

声脉冲辐射力成像(ARPA)是一种新兴的胃肠道和食管成像工具。然而,由于使用固定焦区换能器,在大景深下实现高分辨率仍然是一个待解决的挑战。

方法

为了解决这个问题,本工作提出了一种改进的反向投影重建算法,在二维(2D)中进行了验证。通过使用来自多个换能器位置的数据,并同时考虑换能器检测表面的几何形状,该方法在整个成像深度范围内提供了显著提高的横向分辨率。该方法通过广泛的数值模拟和体模实验进行了评估。

结果

数值模拟表明,我们提出的方法大大提高了焦深(DOF)。结果还表明,当换能器具有更大的数值孔径(NA)和更高的中心频率,并且换能器焦点放置在离旋转中心更远的位置时,横向分辨率的提高更为显著。实验数据进一步表明,与我们提出的新方法相比,在离焦区域的目标的横向分辨率提高了 30%至 40%。

结论

这项工作可以很容易地应用于大多数现有的 ARPA 系统中,以提高获得的图像质量,并可能推动 ARPA 向临床应用的发展。

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