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 for
theoretical evaluation of optimal laser wavelengths to perform
cerebrovascular optoacoustic angiography of rodents beyond the
penetration barriers imposed by light diffusion in highly scattering and
absorbing brain tissues. 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. 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 ability to accurately resolve brain vasculature
at depths ranging between 0.7 and 7 mm.