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Continuous wave-diffuse optical tomography (CW-DOT) in human brain mapping: A review

Guan, Shuo
Li, Yuhang
Gao, Yuanyuan
Luo, Yuxi
Zhao, Hubin
Yang, Dalin
Li, Rihui
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Issue Date
2025-03-25
Type
Review
Genre
Keywords
Brain mapping,Continuous wave-diffuse optical tomography,High spatial resolution
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Citation
Guan, S., Li, Y., Gao, Y., Luo, Y., Zhao, H., Yang, D., & Li, R. (2025). Continuous Wave-Diffuse Optical Tomography (CW-DOT) in Human Brain Mapping: A Review. Sensors, 25(7), 2040. https://doi.org/10.3390/s25072040
Abstract
Continuous wave-diffuse optical tomography (CW-DOT) has emerged as a promising non-invasive neuroimaging technique for assessing brain function. Its ability to provide brain mapping with high spatial resolution over traditional functional near-infrared spectroscopy (fNIRS) has garnered significant interest in clinical and cognitive neuroscience. In this review, we critically summarized the hardware, reconstruction algorithms, and applications of CW-DOT for human brain mapping, providing an up-to-date overview and guidelines for future studies to conduct CW-DOT studies. ScienceDirect, PubMed, Web of Science, and IEEE Xplore databases were searched from their inception up to 1 July 2024. A total of 83 articles were included in the final systematic review. The review focused on existing hardware systems, reconstruction algorithms for CW-DOT, and the applications of CW-DOT in both clinical settings and cognitive neuroscience. Finally, we highlighted current challenges and potential directions of CW-DOT in future research, including the absence of standardized protocols and a pressing need for enhanced quantitative precision. This review underscores the sophisticated capabilities of CW-DOT systems, particularly in the realm of human brain imaging. Extensive clinical and neuroscience research has attested to the technique’s anatomical precision and reliability, establishing it as a potent instrument in research and clinical practice. © 2025 by the authors.
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This is an open access article under the CC BY license.
Publisher
Multidisciplinary Digital Publishing Institute (MDPI)
Journal
Sensors
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ISSN
14248220
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