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Non-invasive 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
  • , A. G. Yodh
  • , Nirmala Ramanujam

Producción científica: Conference articlerevisión exhaustiva

Resumen

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 70MHz 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.

Idioma originalEnglish
Páginas (desde-hasta)379-387
Número de páginas9
PublicaciónProceedings of SPIE - The International Society for Optical Engineering
Volumen4955
DOI
EstadoPublished - 2003
EventoPROGRESS IN BIOMEDICAL OPTICS AND IMAGING: Optical Tomography and Spectroscopy of Tissue V - San Jose, CA, United States
Duración: ene 26 2003ene 29 2003

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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