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18 January 2018 Tissue perfusion rate estimation with compression-based photoacoustic-ultrasound imaging
Min Choi, A.M. James Shapiro, Roger Zemp
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Journal of Biomedical Optics, Vol. 23, Issue 1, 016010 (January 2018). https://doi.org/10.1117/1.JBO.23.1.016010
Abstract
Tissue perfusion is essential for transporting blood oxygen and nutrients. Measurement of tissue perfusion rate would have a significant impact in clinical and preclinical arenas. However, there are few techniques to image this important parameter and they typically require contrast agents. A label-free methodology based on tissue compression and imaging with a high-frequency photoacoustic-ultrasound system is introduced for estimating and visualizing tissue perfusion rates. Experiments demonstrate statistically significant differences in depth-resolved perfusion rates in a human subject with various temperature exposure conditions.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
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Min Choi, A.M. James Shapiro, and Roger Zemp "Tissue perfusion rate estimation with compression-based photoacoustic-ultrasound imaging," Journal of Biomedical Optics 23(1), 016010 (18 January 2018). https://doi.org/10.1117/1.JBO.23.1.016010
Received: 25 May 2017; Accepted: 12 December 2017; Published: 18 January 2018
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Cited by 4 scholarly publications.
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KEYWORDS
Tissues
Imaging systems
Ultrasonography
Tissue optics
Signal detection
Transducers
Blood
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