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Multiscale Photoacoustic Microscopy Imaging with Image Improvement and Quantification Technique

机译:具有图像改进和量化技术的多尺度光声显微镜成像

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Photoacoustic (PA) imaging is one of the fastest growing imaging technologies nowadays in both research and clinical applications, especially due to its unique capability to visualize blood vessels. The PA microscopy (PAM) is classified into two types: optical-resolution PAM (OR-PAM) and acoustic-resolution PAM (AR-PAM). OR-PAM image has a point spread function (PSF) much smaller than AR-PAM because it uses a tightly focused optical beam and the PSF is determined by the optical focus. In contrast, AR-PAM uses an unfocused optical illumination to excite a relatively large area and detects the PA signal from a small area determined by its acoustic focus. Because ultrasound is less scattered than light in biological tissue, AR-PAM can achieve deeper imaging depth than OR-PAM at the expense of image resolution. Due to the limited resolution and imaging depth scale of each PAM type, it is challenging to image vessels in various area of small animals. In this study, we demonstrated in vivo OR-/AR-PAM imaging of blood vessels in various areas such as eye, ear, and hind limb by using a single commercial PAM system. Additionally, we quantified micro-vessel density (MVD) of the mouse eye and ear images, and applied a synthetic aperture focusing technique (SAFT) to correct the distorted PA signal at the out-of-focus in AR-PAM image. As a result, we have demonstrated multiscale PAM imaging of small animal vasculature in various areas with vessel quantification and resolution enhancement, so we believe that this multiscale PAM imaging technique would be helpful in biology research such as ischemia and neovascularization.
机译:光声(PA)成像是当今研究和临床应用中发展最快的成像技术之一,特别是由于其具有可视化血管的独特功能。 PA显微镜(PAM)分为两种类型:光学分辨率PAM(OR-PAM)和声学分辨率PAM(AR-PAM)。 OR-PAM图像的点扩展函数(PSF)比AR-PAM小得多,因为它使用紧密聚焦的光束,并且PSF由光学焦点确定。相反,AR-PAM使用未聚焦的光学照明来激发相对较大的区域,并从由其声聚焦确定的较小区域检测PA信号。由于超声在生物组织中的散射比光少,因此AR-PAM可以获得比OR-PAM更深的成像深度,但会降低图像分辨率。由于每种PAM类型的分辨率和成像深度范围有限,因此要对小型动物的各个区域的血管进行成像具有挑战性。在这项研究中,我们证明了通过使用单个商用PAM系统对体内各个区域(例如眼,耳和后肢)的血管进行的OR- / AR-PAM体内成像。此外,我们量化了小鼠眼睛和耳朵图像的微血管密度(MVD),并应用了合成孔径聚焦技术(SAFT)来校正AR-PAM图像失焦时失真的PA信号。结果,我们已经通过血管量化和分辨率增强在各个区域展示了小动物脉管系统的多尺度PAM成像,因此我们相信这种多尺度PAM成像技术将对诸如缺血和新血管形成的生物学研究有所帮助。

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