Paper
29 July 2003 Noninvasive cerebral hemoglobin oxygenation quantification of fetal sheep under hypoxic stress in utero using frequency-domain diffuse optical two-layer model
Regine Choe, Turgut Durduran, Guoqiang Yu, Mark J. M. Nijland, Peter W. Nathanielsz, Britton Chance, Arjun G. Yodh, Nirmala Ramanujam
Author Affiliations +
Abstract
A study using pregnant sheep was designed to simulate fetal hypoxia in order to investigate the ability of near-infrared spectroscopy (NIRS) to detect and quantify fetal hypoxia in utero. The near-infrared spectroscopic probe consisted of two detectors and six source positions. It was placed on the maternal ewe abdomen above the fetal head. The light sources were modulated at 70 MHz and frequency-encoded so that simultaneous measurements at 675, 786, 830 nm for each source position were possible. After the baseline measurements, fetal hypoxia was induced by blocking the aorta of pregnant ewe and thus compromising the blood supply to the uterus. Blood gas samples were concurrently drawn from the fetal brachial artery and jugular veins. Analysis of the diffuse optical data used a two-layer model to separate the maternal layer from the fetal head. The analysis also employed a priori spectral information about tissue chromophores. This approach provided good quantification of blood oxygenation changes, which correlated well with the blood gas analyses. By contrast the homogeneous model underestimated oxygenation changes during hypoxia.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Regine Choe, Turgut Durduran, Guoqiang Yu, Mark J. M. Nijland, Peter W. Nathanielsz, Britton Chance, Arjun G. Yodh, and Nirmala Ramanujam "Noninvasive cerebral hemoglobin oxygenation quantification of fetal sheep under hypoxic stress in utero using frequency-domain diffuse optical two-layer model", Proc. SPIE 4955, Optical Tomography and Spectroscopy of Tissue V, (29 July 2003); https://doi.org/10.1117/12.478175
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KEYWORDS
Fetus

Blood

Near infrared spectroscopy

Hypoxia

Tissues

Head

Data modeling

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