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Content Provider | IEEE Xplore Digital Library |
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Author | Bottrich, M. Ley, S. Husar, P. |
Copyright Year | 2015 |
Description | Author affiliation: Fac. of Comput. Sci. & Autom., Tech. Univ. Ilmenau, Ilmenau, Germany (Bottrich, M.; Ley, S.; Husar, P.) |
Abstract | Transabdominal fetal pulse oximetry is a method to estimate the state of oxygenation of a fetus in-utero, utilizing the principle of reflection pulse oximetry. The extraction of fetal related information from a mixed fetal-maternal signal is elementary. Minimizing the ratio of purely maternal components of the signal at the detector side obviously facilitates signal separation. In this paper we analyze the influence of tissue geometries to the fluence composition at the surface of the abdomen. Monte-Carlo method is used to compute photon propagation in spherical layered tissue models. Spatial fluence distributions at the surface of the models are visualized and discussed. Our results show the characteristic effects of the distance between the fetus and the surface and the radius of the abdomen to the fluence composition at the detector. Further, the simulations indicate suitable source-detector configurations considering various anatomical conditions. We conclude that an adoption of the source-detector configuration to the individual tissue geometry at hand is necessary to achieve a proper signal composition and quality. Utilizing simulations for sensor design enhances the understanding of photon distributions in complex tissue geometries and supports a successful implementation of transabdominal fetal pulse oximetry. |
Starting Page | 5122 |
Ending Page | 5125 |
File Size | 2391269 |
Page Count | 4 |
File Format | |
ISSN | 1557170X |
e-ISBN | 9781424492718 |
DOI | 10.1109/EMBC.2015.7319544 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2015-08-25 |
Publisher Place | Italy |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Photonics Fetus Detectors Abdomen Monte Carlo methods Computational modeling Light sources |
Content Type | Text |
Resource Type | Article |
Subject | Computer Vision and Pattern Recognition Health Informatics Signal Processing Biomedical Engineering |
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