Guo Zijing, Zhao Yongyi, Yang Yiyi, Raghuram Ankit, Debreczeny Martin, Ray Neil, Robinson Jacob T, Veeraraghavan Ashok
Rice University, Department of Electrical and Computer Engineering, Houston, Texas, United States.
Rice University, Department of Mechanical Engineering, Houston, Texas, United States.
J Biomed Opt. 2025 Aug;30(8):087001. doi: 10.1117/1.JBO.30.8.087001. Epub 2025 Aug 23.
Fetal oxygenation level is a critical indicator of fetal health throughout pregnancy and labor. Existing clinical devices predominantly employ invasive techniques, posing risks to both the fetus and the mother.
To address this concern, we present a noninvasive method for precise fetal oxygenation level monitoring using time-domain near-infrared spectroscopy (TD-NIRS).
Our method leverages the advantages of time-domain information for accurate separation of optical properties from two distinct layers, thereby enabling noninvasive detection of deep tissue oxygenation levels.
We validate the proposed method via Monte Carlo simulations and develop a fiber-based TD-NIRS prototype system. In a two-layer tissue phantom experiment, the system accurately estimates the deep-layer absorption coefficient. We further demonstrate the ability of our prototype system to detect changes in the tissue oxygenation index (TOI) through experiments: (1) TOI measurements of the human forearm with a tissue phantom and (2) transabdominal fetal monitoring on a pregnant ewe.
The results suggest a significant potential for the use of TD-NIRS to noninvasively and safely monitor the fetal oxygenation level.
胎儿氧合水平是整个孕期及分娩过程中胎儿健康的关键指标。现有的临床设备主要采用侵入性技术,对胎儿和母亲均构成风险。
为解决这一问题,我们提出一种使用时域近红外光谱(TD-NIRS)精确监测胎儿氧合水平的非侵入性方法。
我们的方法利用时域信息的优势,从两个不同层准确分离光学特性,从而实现对深层组织氧合水平的非侵入性检测。
我们通过蒙特卡罗模拟验证了所提出的方法,并开发了基于光纤的TD-NIRS原型系统。在双层组织模型实验中,该系统准确估计了深层吸收系数。我们通过以下实验进一步证明了我们的原型系统检测组织氧合指数(TOI)变化的能力:(1)使用组织模型对人体前臂进行TOI测量;(2)对怀孕母羊进行经腹胎儿监测。
结果表明,TD-NIRS在非侵入性和安全监测胎儿氧合水平方面具有巨大潜力。