High resolution hemoglobin oxygen saturation level imaging using morlet wavelet transformed spectroscopic optical coherence tomography

Jin U. Kang; Xuan Liu

doi:10.1109/ISBI.2010.5490268

High resolution hemoglobin oxygen saturation level imaging using morlet wavelet transformed spectroscopic optical coherence tomography

Jin U. Kang, Xuan Liu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this work, we use Spectroscopic Optical Coherence Tomography and Morlet wavelet transformation to deduce hemoglobin oxygen saturation in blood sample. The technique makes use of the different absorption properties of hemoglobin and oxyhemoglobin around 800 nm. In order to test the technique, we combined three superluminescent light emitting diodes together in a Fourier Domain Common Path OCT set-up. The result shows that this technique is promising in differentiating blood oxygenation status.

Original language	English (US)
Title of host publication	2010 7th IEEE International Symposium on Biomedical Imaging
Subtitle of host publication	From Nano to Macro, ISBI 2010 - Proceedings
Pages	1431-1434
Number of pages	4
DOIs	https://doi.org/10.1109/ISBI.2010.5490268
State	Published - Aug 9 2010
Externally published	Yes
Event	7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Rotterdam, Netherlands Duration: Apr 14 2010 → Apr 17 2010

Other

Other	7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010
Country/Territory	Netherlands
City	Rotterdam
Period	4/14/10 → 4/17/10

All Science Journal Classification (ASJC) codes

Biomedical Engineering
Radiology Nuclear Medicine and imaging

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10.1109/ISBI.2010.5490268

Cite this

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title = "High resolution hemoglobin oxygen saturation level imaging using morlet wavelet transformed spectroscopic optical coherence tomography",

abstract = "In this work, we use Spectroscopic Optical Coherence Tomography and Morlet wavelet transformation to deduce hemoglobin oxygen saturation in blood sample. The technique makes use of the different absorption properties of hemoglobin and oxyhemoglobin around 800 nm. In order to test the technique, we combined three superluminescent light emitting diodes together in a Fourier Domain Common Path OCT set-up. The result shows that this technique is promising in differentiating blood oxygenation status.",

author = "Kang, {Jin U.} and Xuan Liu",

year = "2010",

month = aug,

day = "9",

doi = "10.1109/ISBI.2010.5490268",

language = "English (US)",

isbn = "9781424441266",

pages = "1431--1434",

booktitle = "2010 7th IEEE International Symposium on Biomedical Imaging",

note = "7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 ; Conference date: 14-04-2010 Through 17-04-2010",

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Kang, JU & Liu, X 2010, High resolution hemoglobin oxygen saturation level imaging using morlet wavelet transformed spectroscopic optical coherence tomography. in 2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings., 5490268, pp. 1431-1434, 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010, Rotterdam, Netherlands, 4/14/10. https://doi.org/10.1109/ISBI.2010.5490268

High resolution hemoglobin oxygen saturation level imaging using morlet wavelet transformed spectroscopic optical coherence tomography. / Kang, Jin U.; Liu, Xuan.
2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings. 2010. p. 1431-1434 5490268.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

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AU - Liu, Xuan

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N2 - In this work, we use Spectroscopic Optical Coherence Tomography and Morlet wavelet transformation to deduce hemoglobin oxygen saturation in blood sample. The technique makes use of the different absorption properties of hemoglobin and oxyhemoglobin around 800 nm. In order to test the technique, we combined three superluminescent light emitting diodes together in a Fourier Domain Common Path OCT set-up. The result shows that this technique is promising in differentiating blood oxygenation status.

AB - In this work, we use Spectroscopic Optical Coherence Tomography and Morlet wavelet transformation to deduce hemoglobin oxygen saturation in blood sample. The technique makes use of the different absorption properties of hemoglobin and oxyhemoglobin around 800 nm. In order to test the technique, we combined three superluminescent light emitting diodes together in a Fourier Domain Common Path OCT set-up. The result shows that this technique is promising in differentiating blood oxygenation status.

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High resolution hemoglobin oxygen saturation level imaging using morlet wavelet transformed spectroscopic optical coherence tomography

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