Presentation
13 March 2024 Photoacoustic imaging of the hemodynamic responses in the squirrel monkey brain induced by peripheral mechanical stimulation
Author Affiliations +
Abstract
This study illustrates the potential of non-invasive Photoacoustic Microscopy (PAM) to monitor functional changes in a squirrel monkey brain due to peripheral mechanical stimulation. Our unique approach employs a deep Fully Convolutional Neural Network (FCNN) to significantly enhance PAM image quality, improving signal-to-noise ratio and structural similarity index. Notably, functional changes induced by peripheral mechanical stimulation were effectively observed. The study showcases the potential of PAM in neurological applications, advancing our understanding of brain hemodynamics, and the transformative effect of machine learning techniques on PAM image quality, opening new possibilities for future neuroscientific research.
Conference Presentation
© (2024) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kai-Wei Chang, Madhumithra Subramanian Karthikesh, Yunhao Zhu, Heather M. Hudson, Scott Barbay, David T. Bundy, David J. Guggenmos, Shawn Frost, Randolph J. Nudo, Xinmai Yang, and Xueding Wang "Photoacoustic imaging of the hemodynamic responses in the squirrel monkey brain induced by peripheral mechanical stimulation", Proc. SPIE PC12842, Photons Plus Ultrasound: Imaging and Sensing 2024, PC128420K (13 March 2024); https://doi.org/10.1117/12.3001003
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KEYWORDS
Brain

Hemodynamics

Image quality

Neuroimaging

Photoacoustic imaging

Image restoration

Neural networks

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