Pavel Subochev,1 Ekaterina Sergeeva,1 Mikhail Kirillin,1 Daria Kurakina,1 Anna Orlova,1 Alexey Kurnikov,1 Xosé Luís Deán-Ben,2,3 Zhenyue Chenhttps://orcid.org/0000-0001-9508-7521,2,3 Daniel Razansky2,4,5
1Institute of Applied Physics of the RAS (Russian Federation) 2Univ. Zürich (Switzerland) 3ETH Zürich (Switzerland) 4Helmholtz Zentrum München (Germany) 5Institute for Biological and Medical Imaging (Germany)
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Cerebrovascular imaging of rodents is one of the trending applications of optoacoustics aimed at studying brain activity and pathology. Imaging of deep brain structures is often hindered by sub-optimal arrangement of the light delivery and acoustic detection systems. In our work we revisit the physics behind opto-acoustic signal generation and perform theoretical evaluation of optimal laser wavelengths with an aim of enabling whole brain cerebrovascular optoacoustic angiography in small rodents. A comprehensive model based on diffusion approximation was developed to simulate optoacoustic signal generation using optical and acoustic parameters closely mimicking a typical murine brain and surrounding tissues. The model revealed three characteristic wavelength ranges in the visible and near-infrared spectra optimally suited for imaging cerebral vasculature of different size and depth. The theoretical conclusions are confirmed by numerical simulations while in vivo imaging experiments further validated the capacity for accurately resolving brain vasculature at depths ranging between 0.7 and 7 mm.
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Pavel Subochev, Ekaterina Sergeeva, Mikhail Kirillin, Daria Kurakina, Anna Orlova, Alexey Kurnikov, Xosé Luís Deán-Ben, Zhenyue Chen, Daniel Razansky, "Optimization of light and sound delivery for in vivo whole-brain optoacoustic angiography of rodents," Proc. SPIE 11642, Photons Plus Ultrasound: Imaging and Sensing 2021, 116422N (5 March 2021); https://doi.org/10.1117/12.2579210