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Neural Engineering: Third Edition

Photoacoustic Tomography of Neural Systems

Publication ,  Chapter
Li, L; Yao, J; Wang, LV
January 1, 2020

Neuroscience has become one of the most exciting contemporary research areas with major breakthroughs expected in the coming decades. Modern imaging techniques have enabled scientific understanding of the neural system by revealing anatomical, functional, metabolic, and molecular information about the brain. Among these techniques, photoacoustic tomography (PAT), drawing more and more attention, is playing an increasingly important role in brain studies, thanks to its rich optical absorption contrast, high spatiotemporal resolution, and deep penetration. More importantly, PAT’s unique scalability empowers neuroscientists to examine the brain at multiple spatial scales using the same contrast mechanism, bridging microscopic insights to macroscopic observations of the brain. In this chapter, we review the principles of PAT, present the major implementations, and summarize the representative neuroscience applications. We also discuss challenges in translating PAT to human brain imaging and envision its potential promise.

Duke Scholars

DOI

ISBN

9783030433949

Publication Date

January 1, 2020

Start / End Page

349 / 378
 

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Li, L., Yao, J., & Wang, L. V. (2020). Photoacoustic Tomography of Neural Systems. In Neural Engineering: Third Edition (pp. 349–378). https://doi.org/10.1007/978-3-030-43395-6_12
Li, L., J. Yao, and L. V. Wang. “Photoacoustic Tomography of Neural Systems.” In Neural Engineering: Third Edition, 349–78, 2020. https://doi.org/10.1007/978-3-030-43395-6_12.
Li L, Yao J, Wang LV. Photoacoustic Tomography of Neural Systems. In: Neural Engineering: Third Edition. 2020. p. 349–78.
Li, L., et al. “Photoacoustic Tomography of Neural Systems.” Neural Engineering: Third Edition, 2020, pp. 349–78. Scopus, doi:10.1007/978-3-030-43395-6_12.
Li L, Yao J, Wang LV. Photoacoustic Tomography of Neural Systems. Neural Engineering: Third Edition. 2020. p. 349–378.
Journal cover image

DOI

ISBN

9783030433949

Publication Date

January 1, 2020

Start / End Page

349 / 378