Light Emitting Diodes based Photoacoustic Imaging and Potential Clinical Applications.
Light Emitting Diodes based Photoacoustic Imaging and Potential Clinical Applications.
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基于发光二极管的光声成像和潜在的临床应用
DOI：
10.1038/s41598-018-28131-4
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发表时间：
2018-06-29
影响因子：
4.6
通讯作者：
Wang X
中科院分区：
文献类型：
--
作者：
Zhu Y;Xu G;Yuan J;Jo J;Gandikota G;Demirci H;Agano T;Sato N;Shigeta Y;Wang X
使用低成本和小尺寸的发光二极管（LED）作为光声（PA）成像的替代照明源具有许多优点，并且可以在很大程度上有益于新兴PA成像技术的临床转化。在这里，我们提出了我们的发展，基于LED的PA成像与B型超声集成。为了克服通过比激光弱几个数量级的LED光实现足够的信噪比的挑战，对数百个脉冲执行广泛的信号平均。通过LED的快速响应和高速驱动以及高达16 kHz的高脉冲重复率，可以实时实现叠加在生物样品灰度超声上的B模式PA图像，帧率高达500 Hz。基于LED的PA成像可能是一种有前途的工具，用于一些临床应用，如评估外周微血管功能和动态变化，诊断炎症性关节炎，以及检测头颈部癌症。
Using low cost and small size light emitting diodes (LED) as the alternative illumination source for photoacoustic (PA) imaging has many advantages, and can largely benefit the clinical translation of the emerging PA imaging technology. Here, we present our development of LED-based PA imaging integrated with B-mode ultrasound. To overcome the challenge of achieving sufficient signal-to-noise ratio by the LED light that is orders of magnitude weaker than lasers, extensive signal averaging over hundreds of pulses is performed. Facilitated by the fast response of the LED and the high-speed driving as well as the high pulse repetition rate up to 16 kHz, B-mode PA images superimposed on gray-scale ultrasound of a biological sample can be achieved in real-time with frame rate up to 500 Hz. The LED-based PA imaging could be a promising tool for several clinical applications, such as assessment of peripheral microvascular function and dynamic changes, diagnosis of inflammatory arthritis, and detection of head and neck cancer.
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影响因子：
120.7
作者：
Jones, Alan E.;Shapiro, Nathan I.;Trzeciak, Stephen;Arnold, Ryan C.;Claremont, Heather A.;Kline, Jeffrey A.
通讯作者：
Kline, Jeffrey A.
影响因子：
3.8
作者：
Daoudi, K.;van den Berg, P. J.;Steenbergen, W.
通讯作者：
Steenbergen, W.
影响因子：
20.6
作者：
Li, Meng-Lin;Oh, Jung-Taek;Wang, Lihong V.
通讯作者：
Wang, Lihong V.
影响因子：
7.9
作者：
Hariri A;Lemaster J;Wang J;Jeevarathinam AS;Chao DL;Jokerst JV
通讯作者：
Jokerst JV
影响因子：
62.1
作者：
Kim, Chulhong;Favazza, Christopher;Wang, Lihong V.
通讯作者：
Wang, Lihong V.