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Proceedings Paper

Real-time imaging for cerebral ischemia in rats using the multi-wavelength handheld photoacoustic system
Author(s): Yu-Hang Liu; Yu Xu; Kim Chuan Chan; Kalpesh Mehta; Nitish Thakor; Lun-De Liao
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Paper Abstract

Stroke is the second leading cause of death worldwide. Rapid and precise diagnosis is essential to expedite clinical decision and improve functional outcomes in stroke patients; therefore, real-time imaging plays an important role to provide crucial information for post-stroke recovery analysis. In this study, based on the multi-wavelength laser and 18.5 MHz array-based ultrasound platform, a real-time handheld photoacoustic (PA) system was developed to evaluate cerebrovascular functions pre- and post-stroke in rats. Using this system, hemodynamic information such as cerebral blood volume (CBV) can be acquired for assessment. One rat stroke model (i.e., photothrombotic ischemia (PTI)) was employed for evaluating the effect of local ischemia. For achieving better intrinsic PA contrast, Vantage and COMSOL simulations were applied to optimize the light delivery (e.g., interval between two arms) from customized fiber bundle, while phantom experiment was conducted to evaluate the imaging performance of this system. Results of phantom experiment showed that hairs (~150 μm diameter) and pencil lead (500 μm diameter) can be imaged clearly. On the other hand, results of in vivo experiments also demonstrated that stroke symptoms can be observed in PTI model poststroke. In the near future, with the help of PA specific contrast agent, the system would be able to achieve blood-brain barrier leakage imaging post-stroke. Overall, the real-time handheld PA system holds great potential in disease models involving impairments in cerebrovascular functions.

Paper Details

Date Published: 8 February 2017
PDF: 6 pages
Proc. SPIE 10051, Neural Imaging and Sensing, 100510W (8 February 2017); doi: 10.1117/12.2251775
Show Author Affiliations
Yu-Hang Liu, Singapore Institute for Neurotechnology (Singapore)
National Univ. of Singapore (Singapore)
Yu Xu, Singapore Institute for Neurotechnology (Singapore)
National Univ. of Singapore (Singapore)
Kim Chuan Chan, National Univ. of Singapore (Singapore)
Kalpesh Mehta, Singapore Institute for Neurotechnology (Singapore)
Nitish Thakor, Singapore Institute for Neurotechnology (Singapore)
National Univ. of Singapore (Singapore)
Johns Hopkins Univ. (United States)
Lun-De Liao, Singapore Institute for Neurotechnology (Singapore)
Institute of Biomedical Engineering and Nanomedicine (Taiwan)


Published in SPIE Proceedings Vol. 10051:
Neural Imaging and Sensing
Qingming Luo; Jun Ding, Editor(s)

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