扩散相关谱学的全面概述:理论框架,硬件,分析和应用方面的最新进展
Quan Wang1, Mingliang Pan1, Lucas Kreiss2
1Department of Biomedical Engineering, Faculty of Engineering, University of Strathclyde, Glasgow, United Kingdom.
扩散相关谱学 (DCS) 提供了深层组织血液动力学的洞察力. 这篇评论简化了DCS硬件,理论和组件,指导新研究人员并探索医学诊断等应用.
科学领域:
- 生物医学光学 生物医学光学
- 生理测量生理测量
- 光学传感技术的技术
背景情况:
- 扩散相关谱 (DCS) 对于深层组织中微血管血液动力学评估至关重要.
- 传感器,激光器和深度学习方面的进步正在推动新的DCS方法.
- DCS理论和系统选项的复杂性可能是新研究人员的障碍.
研究的目的:
- 为新来者提供扩散相关谱学 (DCS) 的全面审查.
- 阐明DCS硬件架构,理论模型和组件选择.
- 讨论DCS研究中的新兴应用和未来方向.
主要方法:
- 对连续波,频域和时间域DCS硬件架构的审查.
- 相应的理论模型和数据分析工具的总结.
- 讨论单光子雪崩二极管 (SPAD) 传感器及其在DCS中的应用.
主要成果:
- 详细概述DCS系统组件,包括激光器,传感器和相关器件.
- 将SPAD传感器与用于DCS应用的现有技术进行比较.
- 探索深度学习集成用于DCS数据分析.
结论:
- 这篇综述简化了复杂的DCS领域,为新研究人员提供了指导.
- 像SPAD传感器和深度学习这样的新兴技术显示出推动DCS的巨大潜力.
- DCS对医疗诊断和生理监测的未来应用具有前景.
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