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利用合成孔径聚焦技术在轴向分辨光声显微镜中实现与深度无关的横向分辨率。

Achieving depth-independent lateral resolution in AR-PAM using the synthetic-aperture focusing technique.

作者信息

Gao Rongkang, Xue Qiang, Ren Yaguang, Zhang Hai, Song Liang, Liu Chengbo

机构信息

Research Laboratory for Biomedical Optics and Molecular Imaging, CAS Key Laboratory of Health Informatics, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.

School of Medicine, Southern University of Science and Technology, Shenzhen 518055, China.

出版信息

Photoacoustics. 2021 Dec 24;26:100328. doi: 10.1016/j.pacs.2021.100328. eCollection 2022 Jun.

Abstract

Acoustic-resolution photoacoustic microscopy (AR-PAM) is a promising imaging modality that renders images with ultrasound resolution and extends the imaging depth beyond the optical ballistic regime. To achieve a high lateral resolution, a large numerical aperture (NA) of a focused transducer is usually applied for AR-PAM. However, AR-PAM fails to hold its performance in the out-of-focus region. The lateral resolution and signal-to-noise ratio (SNR) degrade substantially, thereby leading to a significantly deteriorated image quality outside the focal area. Based on the concept of the synthetic-aperture focusing technique (SAFT), various strategies have been developed to address this challenge. These include 1D-SAFT, 2D-SAFT, adaptive-SAFT, spatial impulse response (SIR)-based schemes, and delay-multiply-and-sum (DMAS) strategies. These techniques have shown progress in achieving depth-independent lateral resolution, while several challenges remain. This review aims to introduce these developments in SAFT-based approaches, highlight their fundamental mechanisms, underline the advantages and limitations of each approach, and discuss the outlook of the remaining challenges for future advances.

摘要

声学分辨率光声显微镜(AR-PAM)是一种很有前景的成像方式,它能以超声分辨率生成图像,并将成像深度扩展到光学弹道范围之外。为了实现高横向分辨率,AR-PAM通常采用大数值孔径(NA)的聚焦换能器。然而,AR-PAM在离焦区域无法保持其性能。横向分辨率和信噪比(SNR)会大幅下降,从而导致焦外区域的图像质量显著恶化。基于合成孔径聚焦技术(SAFT)的概念,已经开发出各种策略来应对这一挑战。这些策略包括一维SAFT、二维SAFT、自适应SAFT、基于空间脉冲响应(SIR)的方案以及延迟相乘求和(DMAS)策略。这些技术在实现与深度无关的横向分辨率方面已取得进展,但仍存在一些挑战。本综述旨在介绍基于SAFT方法的这些进展,突出其基本机制,强调每种方法的优缺点,并讨论未来进一步发展所面临的剩余挑战的前景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/927d/8861412/4b7b04d116d1/gr1.jpg

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