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基于压缩感知的活体光学解卷积光声计算机断层成像。

In vivo optical-resolution photoacoustic computed tomography with compressed sensing.

机构信息

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

出版信息

Opt Lett. 2012 Nov 15;37(22):4573-5. doi: 10.1364/ol.37.004573.

Abstract

Optical-resolution photoacoustic microscopy is becoming a powerful research tool for studying microcirculation in vivo. Moreover, ultrasonic-array-based optical-resolution photoacoustic computed tomography (OR-PACT), providing comparable resolution at an improved speed, has opened up new opportunities for studying microvascular dynamics. In this Letter, we have developed a compressed sensing with partially known support (CS-PKS) photoacoustic reconstruction strategy for OR-PACT. Compared with conventional backprojection reconstruction, the CS-PKS strategy was shown to produce high-quality in vivo OR-PACT images with threefold less measurement data, which can be leveraged to improve the data acquisition speed and costs of OR-PACT systems.

摘要

光学分辨率光声显微镜正成为研究体内微循环的有力研究工具。此外,基于超声阵列的光学分辨率光声计算断层扫描(OR-PACT)以更高的速度提供了可比的分辨率,为研究微血管动力学开辟了新的机会。在本研究中,我们为 OR-PACT 开发了一种基于部分已知支撑的压缩感知(CS-PKS)光声重建策略。与传统的反向投影重建相比,CS-PKS 策略可以用更少的测量数据生成高质量的体内 OR-PACT 图像,这可以用来提高 OR-PACT 系统的数据采集速度和降低成本。

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