Zhang, R., A’dawiah, R., Choo, T. W. J., Li, X., Balasundaram, G., Qi, Y., Goh, Y., Bi, R., & Olivo, M. (2024). Navigating challenges and solutions in quantitative photoacoustic imaging. Applied Physics Reviews, 11(3). https://doi.org/10.1063/5.0202401
Abstract:
Photoacoustic imaging, an emerging modality that seamlessly combines advantages of optical absorption contrast and ultrasound resolution, holds great promise for noninvasive imaging of biological tissues. Its applications span across diverse fields, such as dermatology, oncology, cardiology, and neurology. However, achieving accurate image reconstruction and physiological parameters quantification from raw photoacoustic signals presents a significant challenge. This challenge primarily arises from the inherent heterogeneity of tissues, encompassing variations in optical fluence and acoustic properties. In addition, incomplete information acquired from a limited view also leads to artifacts, image distortions, and reduced spatial resolution. Furthermore, robust spectral unmixing approach is another key step to restore the initial biochemical components' distribution with complex or unknown background absorption. To overcome these hurdles, researchers have proposed numerous state-of-the-art techniques, aiming to improve the accuracy and reliability of quantitative photoacoustic imaging (qPAI) in heterogeneous tissue. This review aims to comprehensively overview recent developments over the past decade, for addressing four main challenges frequently encountered in qPAI: limited-view reconstruction, acoustic heterogeneity, optical fluence fluctuations, and robust spectral unmixing, which serves as a reference for readers seeking to understand the specific challenges and corresponding solutions in this field.
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Funding Info:
This research / project is supported by the A*STAR - BMRC Central Research Fund (UIBR) 2021
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This research / project is supported by the A*STAR - Horizontal Technology Programme Office Seed Fund
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This research / project is supported by the A*STAR - Industry Alignment Fund Prepositioning Program
Grant Reference no. : H19H6a0025
This research / project is supported by the National Semiconductor Translation and Innovation Center - N/A
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This research / project is supported by the A*STAR - Biomedical Engineering Programme 2021
Grant Reference no. : C211318004
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This article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This article appeared in Zhang, R., A’dawiah, R., Choo, T. W. J., Li, X., Balasundaram, G., Qi, Y., Goh, Y., Bi, R., & Olivo, M. (2024). Navigating challenges and solutions in quantitative photoacoustic imaging. Applied Physics Reviews, 11(3) and may be found at https://doi.org/10.1063/5.0202401