A comprehensive overview of diffuse correlation spectroscopy: Theoretical framework, recent advances in hardware, analysis, and applications

IF 4.7 2区医学 Q1 NEUROIMAGING NeuroImage Pub Date : 2024-08-15 DOI:10.1016/j.neuroimage.2024.120793

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Abstract

Diffuse correlation spectroscopy (DCS) is a powerful tool for assessing microvascular hemodynamic in deep tissues. Recent advances in sensors, lasers, and deep learning have further boosted the development of new DCS methods. However, newcomers might feel overwhelmed, not only by the already-complex DCS theoretical framework but also by the broad range of component options and system architectures. To facilitate new entry to this exciting field, we present a comprehensive review of DCS hardware architectures (continuous-wave, frequency-domain, and time-domain) and summarize corresponding theoretical models. Further, we discuss new applications of highly integrated silicon single-photon avalanche diode (SPAD) sensors in DCS, compare SPADs with existing sensors, and review other components (lasers, sensors, and correlators), as well as data analysis tools, including deep learning. Potential applications in medical diagnosis are discussed and an outlook for the future directions is provided, to offer effective guidance to embark on DCS research.

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漫射相关光谱学的全面概述：理论框架、硬件、分析和应用方面的最新进展。

弥散相关光谱（DCS）是评估深部组织微血管血流动力学的有力工具。传感器、激光和深度学习领域的最新进展进一步推动了新型 DCS 方法的发展。然而，新手可能会感到不知所措，不仅是已经非常复杂的 DCS 理论框架，还有广泛的组件选项和系统架构。为了方便新手进入这一令人兴奋的领域，我们对 DCS 硬件架构（连续波、频域和时域）进行了全面回顾，并总结了相应的理论模型。此外，我们还讨论了高度集成的硅单光子雪崩二极管（SPAD）传感器在 DCS 中的新应用，将 SPAD 与现有传感器进行了比较，并回顾了其他组件（激光器、传感器和相关器）以及包括深度学习在内的数据分析工具。报告还讨论了在医疗诊断中的潜在应用，并对未来发展方向进行了展望，为开展 DCS 研究提供了有效指导。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

NeuroImage 医学-核医学

CiteScore

11.30

自引率

10.50%

发文量

809

审稿时长

63 days

期刊介绍： NeuroImage, a Journal of Brain Function provides a vehicle for communicating important advances in acquiring, analyzing, and modelling neuroimaging data and in applying these techniques to the study of structure-function and brain-behavior relationships. Though the emphasis is on the macroscopic level of human brain organization, meso-and microscopic neuroimaging across all species will be considered if informative for understanding the aforementioned relationships.