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基于压缩感知的虚拟探测器光声显微镜活体成像。

Compressed sensing based virtual-detector photoacoustic microscopy in vivo.

机构信息

Qufu Normal University, College of Computer Science, 80 Yantai Road North, Rizhao 276826, China.

Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Institute of Biomedical and Health Engineering, 1068 Xueyuan Boulevard, Shenzhen 518055, China.

出版信息

J Biomed Opt. 2014 Mar;19(3):36003. doi: 10.1117/1.JBO.19.3.036003.

Abstract

Photoacoustic microscopy (PAM) is becoming a vital tool for various biomedical studies, including functional and molecular imaging of cancer. However, due to the use of a focused ultrasonic transducer for photoacoustic detection, the image quality of conventional PAM degrades rapidly away from the ultrasonic focal zone. To improve the image quality of PAM for out-of-focus regions, we have developed compressed sensing based virtual-detector photoacoustic microscopy (CS-PAM). Through phantom and in vivo experiments, it has been demonstrated that CS-PAM can effectively extend the depth of focus of PAM, and thus may greatly expand its potential biomedical applications.

摘要

光声显微镜(PAM)正成为各种生物医学研究的重要工具,包括癌症的功能和分子成像。然而,由于在光声检测中使用了聚焦超声换能器,传统的 PAM 的图像质量在远离超声焦区的区域迅速下降。为了提高 PAM 在离焦区域的图像质量,我们开发了基于压缩感知的虚拟探测器光声显微镜(CS-PAM)。通过体模和体内实验,已经证明 CS-PAM 可以有效地扩展 PAM 的景深,从而可能极大地扩展其在生物医学中的潜在应用。

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